tidl_tools_path = /home/deepanshu/EdgeAI/edgeai-tidl-tools/tidl_tools artifacts_folder = ../../../model-artifacts//fnc_safety_fp32/ tidl_tensor_bits = 16 debug_level = 4 num_tidl_subgraphs = 16 tidl_denylist = tidl_denylist_layer_name = tidl_denylist_layer_type = tidl_allowlist_layer_name = model_type = tidl_calibration_accuracy_level = 7 tidl_calibration_options:num_frames_calibration = 3 tidl_calibration_options:bias_calibration_iterations = 0 mixed_precision_factor = -1.000000 model_group_id = 0 power_of_2_quantization = 2 ONNX QDQ Enabled = 0 enable_high_resolution_optimization = 0 pre_batchnorm_fold = 1 add_data_convert_ops = 3 output_feature_16bit_names_list = m_params_16bit_names_list = m_single_core_layers_names_list = reserved_compile_constraints_flag = 1601 ti_internal_reserved_1 = WARNING : 'meta_layers_names_list' is not provided - running OD post processing in ARM mode Number of OD backbone nodes = 0 Size of odBackboneNodeIds = 0 Layer 0 -- layer name -- Conv_0 Input dims size = 4 dims --- 1 3 320 800 Supported TIDL layer type --- Conv -- Conv_0 Layer 1 -- layer name -- Relu_1 Input dims size = 4 dims --- 1 64 160 400 Supported TIDL layer type --- Relu -- Relu_1 Layer 2 -- layer name -- MaxPool_2 Input dims size = 4 dims --- 1 64 160 400 Supported TIDL layer type --- MaxPool -- MaxPool_2 Layer 3 -- layer name -- Conv_3 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Conv -- Conv_3 Layer 4 -- layer name -- Relu_4 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Relu -- Relu_4 Layer 5 -- layer name -- Conv_5 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Conv -- Conv_5 Layer 6 -- layer name -- Add_6 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Add -- Add_6 Layer 7 -- layer name -- Relu_7 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Relu -- Relu_7 Layer 8 -- layer name -- Conv_8 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Conv -- Conv_8 Layer 9 -- layer name -- Relu_9 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Relu -- Relu_9 Layer 10 -- layer name -- Conv_10 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Conv -- Conv_10 Layer 11 -- layer name -- Add_11 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Add -- Add_11 Layer 12 -- layer name -- Relu_12 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Relu -- Relu_12 Layer 13 -- layer name -- Conv_13 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Conv -- Conv_13 Layer 14 -- layer name -- Relu_14 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Relu -- Relu_14 Layer 15 -- layer name -- Conv_15 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Conv -- Conv_15 Layer 16 -- layer name -- Conv_16 Input dims size = 4 dims --- 1 64 80 200 Supported TIDL layer type --- Conv -- Conv_16 Layer 17 -- layer name -- Add_17 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Add -- Add_17 Layer 18 -- layer name -- Relu_18 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Relu -- Relu_18 Layer 19 -- layer name -- Conv_19 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Conv -- Conv_19 Layer 20 -- layer name -- Relu_20 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Relu -- Relu_20 Layer 21 -- layer name -- Conv_21 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Conv -- Conv_21 Layer 22 -- layer name -- Add_22 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Add -- Add_22 Layer 23 -- layer name -- Relu_23 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Relu -- Relu_23 Layer 24 -- layer name -- Conv_24 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Conv -- Conv_24 Layer 25 -- layer name -- Relu_25 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Relu -- Relu_25 Layer 26 -- layer name -- Conv_26 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Conv -- Conv_26 Layer 27 -- layer name -- Conv_27 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Conv -- Conv_27 Layer 28 -- layer name -- Add_28 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Add -- Add_28 Layer 29 -- layer name -- Relu_29 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Relu -- Relu_29 Layer 30 -- layer name -- Conv_30 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Conv -- Conv_30 Layer 31 -- layer name -- Relu_31 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Relu -- Relu_31 Layer 32 -- layer name -- Conv_32 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Conv -- Conv_32 Layer 33 -- layer name -- Add_33 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Add -- Add_33 Layer 34 -- layer name -- Relu_34 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Relu -- Relu_34 Layer 35 -- layer name -- Conv_35 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Conv -- Conv_35 Layer 36 -- layer name -- Relu_36 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Relu -- Relu_36 Layer 37 -- layer name -- Conv_37 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Conv -- Conv_37 Layer 38 -- layer name -- Conv_38 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Conv -- Conv_38 Layer 39 -- layer name -- Add_39 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Add -- Add_39 Layer 40 -- layer name -- Relu_40 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Relu -- Relu_40 Layer 41 -- layer name -- Conv_41 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Conv -- Conv_41 Layer 42 -- layer name -- Relu_42 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Relu -- Relu_42 Layer 43 -- layer name -- Conv_43 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Conv -- Conv_43 Layer 44 -- layer name -- Add_44 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Add -- Add_44 Layer 45 -- layer name -- Relu_45 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Relu -- Relu_45 Layer 46 -- layer name -- Conv_46 Input dims size = 4 dims --- 1 512 10 25 Supported TIDL layer type --- Conv -- Conv_46 Layer 47 -- layer name -- Relu_47 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Relu -- Relu_47 Layer 48 -- layer name -- Add_58 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Add -- Add_58 Layer 49 -- layer name -- Conv_59 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_59 Layer 50 -- layer name -- Reshape_64 Input dims size = 4 dims --- 1 16 10 25 Supported TIDL layer type --- Reshape -- Reshape_64 Layer 51 -- layer name -- Transpose_65 Input dims size = 3 dims --- 1 16 250 Supported TIDL layer type --- Transpose -- Transpose_65 Layer 52 -- layer name -- Conv_66 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_66 Layer 53 -- layer name -- Reshape_71 Input dims size = 4 dims --- 1 16 10 25 Supported TIDL layer type --- Reshape -- Reshape_71 Layer 54 -- layer name -- MatMul_72 Input dims size = 3 dims --- 1 250 16 Supported TIDL layer type --- MatMul -- MatMul_72 Layer 55 -- layer name -- reshape_Unsqueeze_73 Input dims size = 3 dims --- 1 250 250 Supported TIDL layer type --- Reshape -- reshape_Unsqueeze_73 Layer 56 -- layer name -- Softmax_74 Input dims size = 4 dims --- 1 1 250 250 Supported TIDL layer type --- Softmax -- Softmax_74 Layer 57 -- layer name -- Squeeze_75 Input dims size = 4 dims --- 1 1 250 250 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-57 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 250 squeeze indim - 250 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 Supported TIDL layer type --- Squeeze -- Squeeze_75 Layer 58 -- layer name -- Transpose_76 Input dims size = 3 dims --- 1 250 250 Supported TIDL layer type --- Transpose -- Transpose_76 Layer 59 -- layer name -- Conv_77 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_77 Layer 60 -- layer name -- Reshape_82 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Reshape -- Reshape_82 Layer 61 -- layer name -- MatMul_83 Input dims size = 3 dims --- 1 64 250 Supported TIDL layer type --- MatMul -- MatMul_83 Layer 62 -- layer name -- Reshape_88 Input dims size = 3 dims --- 1 64 250 Supported TIDL layer type --- Reshape -- Reshape_88 Layer 63 -- layer name -- Mul_89 Input dims size = 0 dims --- Supported TIDL layer type --- Mul -- Mul_89 Layer 64 -- layer name -- Add_90 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Add -- Add_90 Layer 65 -- layer name -- Conv_91 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_91 Layer 66 -- layer name -- Relu_92 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Relu -- Relu_92 Layer 67 -- layer name -- Conv_93 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_93 Layer 68 -- layer name -- Relu_94 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Relu -- Relu_94 Layer 69 -- layer name -- Add_105 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Add -- Add_105 Layer 70 -- layer name -- Conv_106 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_106 Layer 71 -- layer name -- Reshape_111 Input dims size = 4 dims --- 1 16 10 25 Supported TIDL layer type --- Reshape -- Reshape_111 Layer 72 -- layer name -- Transpose_112 Input dims size = 3 dims --- 1 16 250 Supported TIDL layer type --- Transpose -- Transpose_112 Layer 73 -- layer name -- Conv_113 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_113 Layer 74 -- layer name -- Reshape_118 Input dims size = 4 dims --- 1 16 10 25 Supported TIDL layer type --- Reshape -- Reshape_118 Layer 75 -- layer name -- MatMul_119 Input dims size = 3 dims --- 1 250 16 Supported TIDL layer type --- MatMul -- MatMul_119 Layer 76 -- layer name -- reshape_Unsqueeze_120 Input dims size = 3 dims --- 1 250 250 Supported TIDL layer type --- Reshape -- reshape_Unsqueeze_120 Layer 77 -- layer name -- Softmax_121 Input dims size = 4 dims --- 1 1 250 250 Supported TIDL layer type --- Softmax -- Softmax_121 Layer 78 -- layer name -- Squeeze_122 Input dims size = 4 dims --- 1 1 250 250 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-78 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 250 squeeze indim - 250 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 Supported TIDL layer type --- Squeeze -- Squeeze_122 Layer 79 -- layer name -- Transpose_123 Input dims size = 3 dims --- 1 250 250 Supported TIDL layer type --- Transpose -- Transpose_123 Layer 80 -- layer name -- Conv_124 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_124 Layer 81 -- layer name -- Reshape_129 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Reshape -- Reshape_129 Layer 82 -- layer name -- MatMul_130 Input dims size = 3 dims --- 1 64 250 Supported TIDL layer type --- MatMul -- MatMul_130 Layer 83 -- layer name -- Reshape_135 Input dims size = 3 dims --- 1 64 250 Supported TIDL layer type --- Reshape -- Reshape_135 Layer 84 -- layer name -- Mul_136 Input dims size = 0 dims --- Supported TIDL layer type --- Mul -- Mul_136 Layer 85 -- layer name -- Add_137 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Add -- Add_137 Layer 86 -- layer name -- Conv_138 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_138 Layer 87 -- layer name -- Relu_139 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Relu -- Relu_139 Layer 88 -- layer name -- Conv_142 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Conv -- Conv_142 Layer 89 -- layer name -- Upsample_143 Input dims size = 4 dims --- 1 64 10 25 Supported TIDL layer type --- Upsample -- Upsample_143 Layer 90 -- layer name -- Conv_141 Input dims size = 4 dims --- 1 256 20 50 Supported TIDL layer type --- Conv -- Conv_141 Layer 91 -- layer name -- Add_144 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Add -- Add_144 Layer 92 -- layer name -- Conv_148 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Conv -- Conv_148 Layer 93 -- layer name -- Conv_152 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Conv -- Conv_152 Layer 94 -- layer name -- Relu_153 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Relu -- Relu_153 Layer 95 -- layer name -- Conv_154 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Conv -- Conv_154 Layer 96 -- layer name -- Sigmoid_170 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Sigmoid -- Sigmoid_170 Layer 97 -- layer name -- Add_172 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Add -- Add_172 Layer 98 -- layer name -- Relu_173 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Relu -- Relu_173 Layer 99 -- layer name -- Add_175 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Add -- Add_175 Layer 100 -- layer name -- Mul_177 Input dims size = 0 dims --- Supported TIDL layer type --- Mul -- Mul_177 Layer 101 -- layer name -- Add_179 Input dims size = 0 dims --- Supported TIDL layer type --- Add -- Add_179 Layer 102 -- layer name -- Relu_180 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Relu -- Relu_180 Layer 103 -- layer name -- Mul_182 Input dims size = 0 dims --- Supported TIDL layer type --- Mul -- Mul_182 Layer 104 -- layer name -- Add_184 Input dims size = 0 dims --- Supported TIDL layer type --- Add -- Add_184 Layer 105 -- layer name -- MaxPool_204 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- MaxPool -- MaxPool_204 Layer 106 -- layer name -- Mul_206 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Mul -- Mul_206 Layer 107 -- layer name -- Add_207 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Add -- Add_207 Layer 108 -- layer name -- Mul_209 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Mul -- Mul_209 Layer 109 -- layer name -- Add_211 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Add -- Add_211 Layer 110 -- layer name -- Relu_212 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Relu -- Relu_212 Layer 111 -- layer name -- Mul_214 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Mul -- Mul_214 Layer 112 -- layer name -- Mul_215 Input dims size = 4 dims --- 1 1 20 50 Supported TIDL layer type --- Mul -- Mul_215 Layer 113 -- layer name -- Squeeze_216 Input dims size = 4 dims --- 1 1 20 50 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-113 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 20 squeeze indim - 50 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 Supported TIDL layer type --- Squeeze -- Squeeze_216 Layer 114 -- layer name -- Reshape_218 Input dims size = 3 dims --- 1 20 50 Supported TIDL layer type --- Reshape -- Reshape_218 Layer 115 -- layer name -- TopK_219 Input dims size = 1 dims --- 1000 debug_TIDL_onnxMapTopKBaseParams: in-1 out-2 Supported TIDL layer type --- TopK -- TopK_219 Layer 116 -- layer name -- Reshape_221 Input dims size = 1 dims --- 6 Supported TIDL layer type --- Reshape -- Reshape_221 Layer 117 -- layer name -- Squeeze_224 Input dims size = 2 dims --- 6 1 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-117 axisIdx-0 squeeze axis[0] - 1 squeeze indim - 6 squeeze indim - 1 debug_TIDL_onnxMapSqueezeBaseParams: numDim-2 axes-5 Supported TIDL layer type --- Squeeze -- Squeeze_224 Layer 118 -- layer name -- Conv_155 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Conv -- Conv_155 Layer 119 -- layer name -- Relu_156 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Relu -- Relu_156 Layer 120 -- layer name -- Conv_157 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Conv -- Conv_157 Layer 121 -- layer name -- Reshape_195 Input dims size = 4 dims --- 1 134 20 50 Supported TIDL layer type --- Reshape -- Reshape_195 Layer 122 -- layer name -- Transpose_196 Input dims size = 5 dims --- 1 1 134 20 50 Supported TIDL layer type --- Transpose -- Transpose_196 Layer 123 -- layer name -- Reshape_203 Input dims size = 5 dims --- 1 134 1 20 50 Supported TIDL layer type --- Reshape -- Reshape_203 Layer 124 -- layer name -- Conv_228 Input dims size = 4 dims --- 1 134 1 1000 Supported TIDL layer type --- Conv -- Conv_228 Layer 125 -- layer name -- Transpose_229 Input dims size = 4 dims --- 1 67 1 1000 Supported TIDL layer type --- Transpose -- Transpose_229 Layer 126 -- layer name -- Reshape_231 Input dims size = 4 dims --- 1 1000 1 67 Supported TIDL layer type --- Reshape -- Reshape_231 Layer 127 -- layer name -- Gather_233 Input dims size = 2 dims --- 1000 67 Supported TIDL layer type --- Gather -- Gather_233 Layer 128 -- layer name -- Transpose_245 Input dims size = 2 dims --- 6 67 Supported TIDL layer type --- Transpose -- Transpose_245 Layer 129 -- layer name -- Reshape_248 Input dims size = 2 dims --- 67 6 Supported TIDL layer type --- Reshape -- Reshape_248 Layer 130 -- layer name -- Conv_253 Input dims size = 4 dims --- 1 67 1 6 Supported TIDL layer type --- Conv -- Conv_253 Layer 131 -- layer name -- Transpose_254 Input dims size = 4 dims --- 1 1 1 6 Supported TIDL layer type --- Transpose -- Transpose_254 Layer 132 -- layer name -- Reshape_256 Input dims size = 4 dims --- 1 6 1 1 Supported TIDL layer type --- Reshape -- Reshape_256 Layer 133 -- layer name -- Add_263 Input dims size = 2 dims --- 6 1 Supported TIDL layer type --- Add -- Add_263 Layer 134 -- layer name -- Reshape_273 Input dims size = 2 dims --- 6 1 Supported TIDL layer type --- Reshape -- Reshape_273 Layer 135 -- layer name -- Reshape_283 Input dims size = 1 dims --- 6 Supported TIDL layer type --- Reshape -- Reshape_283 Layer 136 -- layer name -- Upsample_145 Input dims size = 4 dims --- 1 64 20 50 Supported TIDL layer type --- Upsample -- Upsample_145 Layer 137 -- layer name -- Conv_140 Input dims size = 4 dims --- 1 128 40 100 Supported TIDL layer type --- Conv -- Conv_140 Layer 138 -- layer name -- Add_146 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Add -- Add_146 Layer 139 -- layer name -- Conv_147 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Conv -- Conv_147 Layer 140 -- layer name -- Conv_185 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Conv -- Conv_185 Layer 141 -- layer name -- Relu_186 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Relu -- Relu_186 Layer 142 -- layer name -- Conv_187 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Conv -- Conv_187 Layer 143 -- layer name -- Relu_188 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Relu -- Relu_188 Layer 144 -- layer name -- Conv_189 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Conv -- Conv_189 Layer 145 -- layer name -- Relu_190 Input dims size = 4 dims --- 1 64 40 100 Supported TIDL layer type --- Relu -- Relu_190 Layer 146 -- layer name -- Concat_241 Input dims size = 0 dims --- Supported TIDL layer type --- Concat -- Concat_241 Layer 147 -- layer name -- Reshape_rc_0 Input dims size = 4 dims --- 1 66 40 100 Supported TIDL layer type --- Reshape -- Reshape_rc_0 Layer 148 -- layer name -- Conv_249 Input dims size = 4 dims --- 1 67 1 6 Supported TIDL layer type --- Conv -- Conv_249 Layer 149 -- layer name -- Transpose_250 Input dims size = 4 dims --- 1 66 1 6 Supported TIDL layer type --- Transpose -- Transpose_250 Layer 150 -- layer name -- Reshape_252 Input dims size = 4 dims --- 1 6 1 66 Supported TIDL layer type --- Reshape -- Reshape_252 Layer 151 -- layer name -- MatMul_rc_0 Input dims size = 2 dims --- 6 66 Supported TIDL layer type --- MatMul -- MatMul_rc_0 Layer 152 -- layer name -- Reshape_rc_1 Input dims size = 2 dims --- 6 4000 Supported TIDL layer type --- Reshape -- Reshape_rc_1 Layer 153 -- layer name -- Add_284 Input dims size = 4 dims --- 1 6 40 100 Supported TIDL layer type --- Add -- Add_284 Layer 154 -- layer name -- Reshape_288 Input dims size = 4 dims --- 1 6 40 100 Supported TIDL layer type --- Reshape -- Reshape_288 Layer 155 -- layer name -- Transpose_n_1 Input dims size = 4 dims --- 1 6 40 100 Supported TIDL layer type --- Transpose -- Transpose_n_1 Layer 156 -- layer name -- Conv3_2 Input dims size = 4 dims --- 1 100 6 40 Supported TIDL layer type --- Conv -- Conv3_2 Layer 157 -- layer name -- Relu_359 Input dims size = 4 dims --- 1 64 6 40 Supported TIDL layer type --- Relu -- Relu_359 Layer 158 -- layer name -- Conv3_4 Input dims size = 4 dims --- 1 64 6 40 Supported TIDL layer type --- Conv -- Conv3_4 Layer 159 -- layer name -- Transpose_n_6 Input dims size = 4 dims --- 1 2 6 40 Supported TIDL layer type --- Transpose -- Transpose_n_6 Layer 160 -- layer name -- Conv_363 Input dims size = 4 dims --- 1 100 6 40 Supported TIDL layer type --- Conv -- Conv_363 Layer 161 -- layer name -- Relu_364 Input dims size = 4 dims --- 1 1 6 40 Supported TIDL layer type --- Relu -- Relu_364 Layer 162 -- layer name -- Transpose_365 Input dims size = 4 dims --- 1 1 6 40 Supported TIDL layer type --- Transpose -- Transpose_365 Layer 163 -- layer name -- Conv_366 Input dims size = 4 dims --- 1 40 1 6 Supported TIDL layer type --- Conv -- Conv_366 Layer 164 -- layer name -- Transpose_367 Input dims size = 4 dims --- 1 8 1 6 Supported TIDL layer type --- Transpose -- Transpose_367 Layer 165 -- layer name -- Conv_289 Input dims size = 4 dims --- 1 134 1 1000 Supported TIDL layer type --- Conv -- Conv_289 Layer 166 -- layer name -- Transpose_290 Input dims size = 4 dims --- 1 67 1 1000 Supported TIDL layer type --- Transpose -- Transpose_290 Layer 167 -- layer name -- Reshape_292 Input dims size = 4 dims --- 1 1000 1 67 Supported TIDL layer type --- Reshape -- Reshape_292 Layer 168 -- layer name -- Gather_294 Input dims size = 2 dims --- 1000 67 Supported TIDL layer type --- Gather -- Gather_294 Layer 169 -- layer name -- Transpose_306 Input dims size = 2 dims --- 6 67 Supported TIDL layer type --- Transpose -- Transpose_306 Layer 170 -- layer name -- Reshape_309 Input dims size = 2 dims --- 67 6 Supported TIDL layer type --- Reshape -- Reshape_309 Layer 171 -- layer name -- Conv_314 Input dims size = 4 dims --- 1 67 1 6 Supported TIDL layer type --- Conv -- Conv_314 Layer 172 -- layer name -- Transpose_315 Input dims size = 4 dims --- 1 1 1 6 Supported TIDL layer type --- Transpose -- Transpose_315 Layer 173 -- layer name -- Reshape_317 Input dims size = 4 dims --- 1 6 1 1 Supported TIDL layer type --- Reshape -- Reshape_317 Layer 174 -- layer name -- Add_324 Input dims size = 2 dims --- 6 1 Supported TIDL layer type --- Add -- Add_324 Layer 175 -- layer name -- Reshape_334 Input dims size = 2 dims --- 6 1 Supported TIDL layer type --- Reshape -- Reshape_334 Layer 176 -- layer name -- Reshape_344 Input dims size = 1 dims --- 6 Supported TIDL layer type --- Reshape -- Reshape_344 Layer 177 -- layer name -- Conv_310 Input dims size = 4 dims --- 1 67 1 6 Supported TIDL layer type --- Conv -- Conv_310 Layer 178 -- layer name -- Transpose_311 Input dims size = 4 dims --- 1 66 1 6 Supported TIDL layer type --- Transpose -- Transpose_311 Layer 179 -- layer name -- Reshape_313 Input dims size = 4 dims --- 1 6 1 66 Supported TIDL layer type --- Reshape -- Reshape_313 Layer 180 -- layer name -- MatMul_rc_1 Input dims size = 2 dims --- 6 66 Supported TIDL layer type --- MatMul -- MatMul_rc_1 Layer 181 -- layer name -- Reshape_rc_2 Input dims size = 2 dims --- 6 4000 Supported TIDL layer type --- Reshape -- Reshape_rc_2 Layer 182 -- layer name -- Add_345 Input dims size = 4 dims --- 1 6 40 100 Supported TIDL layer type --- Add -- Add_345 Layer 183 -- layer name -- Reshape_349 Input dims size = 4 dims --- 1 6 40 100 Supported TIDL layer type --- Reshape -- Reshape_349 Preliminary subgraphs created = 1 Final number of subgraphs created are : 1, - Offloaded Nodes - 184, Total Nodes - 184 INFORMATION -- [TIDL_ResizeLayer] Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. INFORMATION -- [TIDL_ResizeLayer] Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. Running runtimes graphviz - /home/deepanshu/EdgeAI/edgeai-tidl-tools/tidl_tools/tidl_graphVisualiser_runtimes.out ../../../model-artifacts//fnc_safety_fp32//allowedNode.txt ../../../model-artifacts//fnc_safety_fp32//tempDir/graphvizInfo.txt ../../../model-artifacts//fnc_safety_fp32//tempDir/runtimes_visualization.svg *** In TIDL_createStateImportFunc *** Supported TIDL layer type --- Conv -- Conv_0 Supported TIDL layer type --- Relu -- Relu_1 Supported TIDL layer type --- MaxPool -- MaxPool_2 Supported TIDL layer type --- Conv -- Conv_3 Supported TIDL layer type --- Relu -- Relu_4 Supported TIDL layer type --- Conv -- Conv_5 Supported TIDL layer type --- Add -- Add_6 Supported TIDL layer type --- Relu -- Relu_7 Supported TIDL layer type --- Conv -- Conv_8 Supported TIDL layer type --- Relu -- Relu_9 Supported TIDL layer type --- Conv -- Conv_10 Supported TIDL layer type --- Add -- Add_11 Supported TIDL layer type --- Relu -- Relu_12 Supported TIDL layer type --- Conv -- Conv_16 Supported TIDL layer type --- Conv -- Conv_13 Supported TIDL layer type --- Relu -- Relu_14 Supported TIDL layer type --- Conv -- Conv_15 Supported TIDL layer type --- Add -- Add_17 Supported TIDL layer type --- Relu -- Relu_18 Supported TIDL layer type --- Conv -- Conv_19 Supported TIDL layer type --- Relu -- Relu_20 Supported TIDL layer type --- Conv -- Conv_21 Supported TIDL layer type --- Add -- Add_22 Supported TIDL layer type --- Relu -- Relu_23 Supported TIDL layer type --- Conv -- Conv_27 Supported TIDL layer type --- Conv -- Conv_24 Supported TIDL layer type --- Relu -- Relu_25 Supported TIDL layer type --- Conv -- Conv_26 Supported TIDL layer type --- Add -- Add_28 Supported TIDL layer type --- Relu -- Relu_29 Supported TIDL layer type --- Conv -- Conv_30 Supported TIDL layer type --- Relu -- Relu_31 Supported TIDL layer type --- Conv -- Conv_32 Supported TIDL layer type --- Add -- Add_33 Supported TIDL layer type --- Relu -- Relu_34 Supported TIDL layer type --- Conv -- Conv_141 Supported TIDL layer type --- Conv -- Conv_38 Supported TIDL layer type --- Conv -- Conv_35 Supported TIDL layer type --- Relu -- Relu_36 Supported TIDL layer type --- Conv -- Conv_37 Supported TIDL layer type --- Add -- Add_39 Supported TIDL layer type --- Relu -- Relu_40 Supported TIDL layer type --- Conv -- Conv_41 Supported TIDL layer type --- Relu -- Relu_42 Supported TIDL layer type --- Conv -- Conv_43 Supported TIDL layer type --- Add -- Add_44 Supported TIDL layer type --- Relu -- Relu_45 Supported TIDL layer type --- Conv -- Conv_46 Supported TIDL layer type --- Relu -- Relu_47 Supported TIDL layer type --- Add -- Add_58 Supported TIDL layer type --- Conv -- Conv_77 Supported TIDL layer type --- Reshape -- Reshape_82 Supported TIDL layer type --- Conv -- Conv_66 Supported TIDL layer type --- Reshape -- Reshape_71 Supported TIDL layer type --- Conv -- Conv_59 Supported TIDL layer type --- Reshape -- Reshape_64 Supported TIDL layer type --- Transpose -- Transpose_65 Supported TIDL layer type --- MatMul -- MatMul_72 Supported TIDL layer type --- Reshape -- reshape_Unsqueeze_73 Supported TIDL layer type --- Softmax -- Softmax_74 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-60 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 250 squeeze indim - 250 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 Supported TIDL layer type --- Squeeze -- Squeeze_75 Supported TIDL layer type --- Transpose -- Transpose_76 Supported TIDL layer type --- MatMul -- MatMul_83 Supported TIDL layer type --- Reshape -- Reshape_88 Supported TIDL layer type --- Mul -- Mul_89 Supported TIDL layer type --- Add -- Add_90 Supported TIDL layer type --- Conv -- Conv_91 Supported TIDL layer type --- Relu -- Relu_92 Supported TIDL layer type --- Conv -- Conv_93 Supported TIDL layer type --- Relu -- Relu_94 Supported TIDL layer type --- Add -- Add_105 Supported TIDL layer type --- Conv -- Conv_124 Supported TIDL layer type --- Reshape -- Reshape_129 Supported TIDL layer type --- Conv -- Conv_113 Supported TIDL layer type --- Reshape -- Reshape_118 Supported TIDL layer type --- Conv -- Conv_106 Supported TIDL layer type --- Reshape -- Reshape_111 Supported TIDL layer type --- Transpose -- Transpose_112 Supported TIDL layer type --- MatMul -- MatMul_119 Supported TIDL layer type --- Reshape -- reshape_Unsqueeze_120 Supported TIDL layer type --- Softmax -- Softmax_121 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-81 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 250 squeeze indim - 250 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 Supported TIDL layer type --- Squeeze -- Squeeze_122 Supported TIDL layer type --- Transpose -- Transpose_123 Supported TIDL layer type --- MatMul -- MatMul_130 Supported TIDL layer type --- Reshape -- Reshape_135 Supported TIDL layer type --- Mul -- Mul_136 Supported TIDL layer type --- Add -- Add_137 Supported TIDL layer type --- Conv -- Conv_138 Supported TIDL layer type --- Relu -- Relu_139 Supported TIDL layer type --- Conv -- Conv_142 Supported TIDL layer type --- Upsample -- Upsample_143 Supported TIDL layer type --- Add -- Add_144 Supported TIDL layer type --- Conv -- Conv_148 Supported TIDL layer type --- Conv -- Conv_155 Supported TIDL layer type --- Relu -- Relu_156 Supported TIDL layer type --- Conv -- Conv_157 Supported TIDL layer type --- Reshape -- Reshape_195 Supported TIDL layer type --- Transpose -- Transpose_196 Supported TIDL layer type --- Reshape -- Reshape_203 Supported TIDL layer type --- Conv -- Conv_289 Supported TIDL layer type --- Transpose -- Transpose_290 Supported TIDL layer type --- Reshape -- Reshape_292 Supported TIDL layer type --- Conv -- Conv_152 Supported TIDL layer type --- Relu -- Relu_153 Supported TIDL layer type --- Conv -- Conv_154 Supported TIDL layer type --- Sigmoid -- Sigmoid_170 Supported TIDL layer type --- Add -- Add_172 Supported TIDL layer type --- Relu -- Relu_173 Supported TIDL layer type --- Add -- Add_175 Supported TIDL layer type --- Mul -- Mul_177 Supported TIDL layer type --- Add -- Add_179 Supported TIDL layer type --- Relu -- Relu_180 Supported TIDL layer type --- Mul -- Mul_182 Supported TIDL layer type --- Add -- Add_184 Supported TIDL layer type --- MaxPool -- MaxPool_204 Supported TIDL layer type --- Mul -- Mul_206 Supported TIDL layer type --- Add -- Add_207 Supported TIDL layer type --- Mul -- Mul_209 Supported TIDL layer type --- Add -- Add_211 Supported TIDL layer type --- Relu -- Relu_212 Supported TIDL layer type --- Mul -- Mul_214 Supported TIDL layer type --- Mul -- Mul_215 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-122 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 20 squeeze indim - 50 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 Supported TIDL layer type --- Squeeze -- Squeeze_216 Supported TIDL layer type --- Reshape -- Reshape_218 debug_TIDL_onnxMapTopKBaseParams: in-1 out-2 Supported TIDL layer type --- TopK -- TopK_219 Supported TIDL layer type --- Reshape -- Reshape_221 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-126 axisIdx-0 squeeze axis[0] - 1 squeeze indim - 6 squeeze indim - 1 debug_TIDL_onnxMapSqueezeBaseParams: numDim-2 axes-5 Supported TIDL layer type --- Squeeze -- Squeeze_224 Supported TIDL layer type --- Gather -- Gather_294 Supported TIDL layer type --- Transpose -- Transpose_306 Supported TIDL layer type --- Reshape -- Reshape_309 Supported TIDL layer type --- Conv -- Conv_310 Supported TIDL layer type --- Transpose -- Transpose_311 Supported TIDL layer type --- Reshape -- Reshape_313 Supported TIDL layer type --- Conv -- Conv_140 Supported TIDL layer type --- Upsample -- Upsample_145 Supported TIDL layer type --- Add -- Add_146 Supported TIDL layer type --- Conv -- Conv_147 Supported TIDL layer type --- Conv -- Conv_185 Supported TIDL layer type --- Relu -- Relu_186 Supported TIDL layer type --- Conv -- Conv_187 Supported TIDL layer type --- Relu -- Relu_188 Supported TIDL layer type --- Conv -- Conv_189 Supported TIDL layer type --- Relu -- Relu_190 Supported TIDL layer type --- Concat -- Concat_241 Supported TIDL layer type --- Reshape -- Reshape_rc_0 Supported TIDL layer type --- MatMul -- MatMul_rc_1 Supported TIDL layer type --- Reshape -- Reshape_rc_2 Supported TIDL layer type --- Conv -- Conv_314 Supported TIDL layer type --- Transpose -- Transpose_315 Supported TIDL layer type --- Reshape -- Reshape_317 Supported TIDL layer type --- Add -- Add_324 Supported TIDL layer type --- Reshape -- Reshape_334 Supported TIDL layer type --- Reshape -- Reshape_344 Supported TIDL layer type --- Add -- Add_345 Supported TIDL layer type --- Reshape -- Reshape_349 Supported TIDL layer type --- Conv -- Conv_228 Supported TIDL layer type --- Transpose -- Transpose_229 Supported TIDL layer type --- Reshape -- Reshape_231 Supported TIDL layer type --- Gather -- Gather_233 Supported TIDL layer type --- Transpose -- Transpose_245 Supported TIDL layer type --- Reshape -- Reshape_248 Supported TIDL layer type --- Conv -- Conv_249 Supported TIDL layer type --- Transpose -- Transpose_250 Supported TIDL layer type --- Reshape -- Reshape_252 Supported TIDL layer type --- MatMul -- MatMul_rc_0 Supported TIDL layer type --- Reshape -- Reshape_rc_1 Supported TIDL layer type --- Conv -- Conv_253 Supported TIDL layer type --- Transpose -- Transpose_254 Supported TIDL layer type --- Reshape -- Reshape_256 Supported TIDL layer type --- Add -- Add_263 Supported TIDL layer type --- Reshape -- Reshape_273 Supported TIDL layer type --- Reshape -- Reshape_283 Supported TIDL layer type --- Add -- Add_284 Supported TIDL layer type --- Reshape -- Reshape_288 Supported TIDL layer type --- Transpose -- Transpose_n_1 Supported TIDL layer type --- Conv -- Conv_363 Supported TIDL layer type --- Relu -- Relu_364 Supported TIDL layer type --- Transpose -- Transpose_365 Supported TIDL layer type --- Conv -- Conv_366 Supported TIDL layer type --- Transpose -- Transpose_367 Supported TIDL layer type --- Conv -- Conv3_2 Supported TIDL layer type --- Relu -- Relu_359 Supported TIDL layer type --- Conv -- Conv3_4 Supported TIDL layer type --- Transpose -- Transpose_n_6 Compute on node : TIDLExecutionProvider_TIDL_0_0 0, Conv, 3, 1, image, 717 1, Relu, 1, 1, 717, 227 2, MaxPool, 1, 1, 227, 228 3, Conv, 3, 1, 228, 720 4, Relu, 1, 1, 720, 231 5, Conv, 3, 1, 231, 723 6, Add, 2, 1, 723, 234 7, Relu, 1, 1, 234, 235 8, Conv, 3, 1, 235, 726 9, Relu, 1, 1, 726, 238 10, Conv, 3, 1, 238, 729 11, Add, 2, 1, 729, 241 12, Relu, 1, 1, 241, 242 13, Conv, 3, 1, 242, 738 14, Conv, 3, 1, 242, 732 15, Relu, 1, 1, 732, 245 16, Conv, 3, 1, 245, 735 17, Add, 2, 1, 735, 250 18, Relu, 1, 1, 250, 251 19, Conv, 3, 1, 251, 741 20, Relu, 1, 1, 741, 254 21, Conv, 3, 1, 254, 744 22, Add, 2, 1, 744, 257 23, Relu, 1, 1, 257, 258 24, Conv, 3, 1, 258, 753 25, Conv, 3, 1, 258, 747 26, Relu, 1, 1, 747, 261 27, Conv, 3, 1, 261, 750 28, Add, 2, 1, 750, 266 29, Relu, 1, 1, 266, 267 30, Conv, 3, 1, 267, 756 31, Relu, 1, 1, 756, 270 32, Conv, 3, 1, 270, 759 33, Add, 2, 1, 759, 273 34, Relu, 1, 1, 273, 274 35, Conv, 3, 1, 274, 406 36, Conv, 3, 1, 274, 768 37, Conv, 3, 1, 274, 762 38, Relu, 1, 1, 762, 277 39, Conv, 3, 1, 277, 765 40, Add, 2, 1, 765, 282 41, Relu, 1, 1, 282, 283 42, Conv, 3, 1, 283, 771 43, Relu, 1, 1, 771, 286 44, Conv, 3, 1, 286, 774 45, Add, 2, 1, 774, 289 46, Relu, 1, 1, 289, 290 47, Conv, 3, 1, 290, 777 48, Relu, 1, 1, 777, 293 49, Add, 2, 1, 293, 304 50, Conv, 3, 1, 304, 327 51, Reshape, 2, 1, 327, 334 52, Conv, 3, 1, 304, 314 53, Reshape, 2, 1, 314, 321 54, Conv, 3, 1, 304, 305 55, Reshape, 2, 1, 305, 312 56, Transpose, 1, 1, 312, 313 57, MatMul, 2, 1, 313, 322 58, Reshape, 2, 1, 322, 323 59, Softmax, 1, 1, 323, 324 60, Squeeze, 1, 1, 324, 325 61, Transpose, 1, 1, 325, 326 62, MatMul, 2, 1, 334, 335 63, Reshape, 2, 1, 335, 342 64, Mul, 2, 1, ortshared_6_1_1, 343 65, Add, 2, 1, 343, 344 66, Conv, 3, 1, 344, 780 67, Relu, 1, 1, 780, 347 68, Conv, 3, 1, 347, 783 69, Relu, 1, 1, 783, 350 70, Add, 2, 1, 350, 361 71, Conv, 3, 1, 361, 384 72, Reshape, 2, 1, 384, 391 73, Conv, 3, 1, 361, 371 74, Reshape, 2, 1, 371, 378 75, Conv, 3, 1, 361, 362 76, Reshape, 2, 1, 362, 369 77, Transpose, 1, 1, 369, 370 78, MatMul, 2, 1, 370, 379 79, Reshape, 2, 1, 379, 380 80, Softmax, 1, 1, 380, 381 81, Squeeze, 1, 1, 381, 382 82, Transpose, 1, 1, 382, 383 83, MatMul, 2, 1, 391, 392 84, Reshape, 2, 1, 392, 399 85, Mul, 2, 1, ortshared_8_1_1, 400 86, Add, 2, 1, 400, 401 87, Conv, 3, 1, 401, 786 88, Relu, 1, 1, 786, 404 89, Conv, 3, 1, 404, 407 90, Upsample, 2, 1, 407, 411 91, Add, 2, 1, 406, 412 92, Conv, 3, 1, 412, 419 93, Conv, 3, 1, 419, 426 94, Relu, 1, 1, 426, 427 95, Conv, 3, 1, 427, 428 96, Reshape, 2, 1, 428, 473 97, Transpose, 1, 1, 473, 474 98, Reshape, 2, 1, 474, 485 99, Conv, 2, 1, 485, 604 100, Transpose, 1, 1, 604, 605 101, Reshape, 2, 1, 605, 607 102, Conv, 3, 1, 419, 423 103, Relu, 1, 1, 423, 424 104, Conv, 3, 1, 424, 425 105, Sigmoid, 1, 1, 425, 441 106, Add, 2, 1, 441, 443 107, Relu, 1, 1, 443, 444 108, Add, 2, 1, 444, 446 109, Mul, 2, 1, 447, 448 110, Add, 2, 1, 449, 450 111, Relu, 1, 1, 450, 451 112, Mul, 2, 1, 447, 453 113, Add, 2, 1, 449, 455 114, MaxPool, 1, 1, 455, 486 115, Mul, 2, 1, 486, 488 116, Add, 2, 1, 455, 489 117, Mul, 2, 1, 489, 491 118, Add, 2, 1, 491, 493 119, Relu, 1, 1, 493, 494 120, Mul, 2, 1, 494, 496 121, Mul, 2, 1, 455, 497 122, Squeeze, 1, 1, 497, 498 123, Reshape, 2, 1, 498, 500 124, TopK, 1, 2, 500, 501 125, Reshape, 2, 1, 502, seeds 126, Squeeze, 1, 1, seeds, 507 127, Gather, 2, 1, 607, 609 128, Transpose, 1, 1, 609, 621 129, Reshape, 2, 1, 621, 630 130, Conv, 2, 1, 630, 631 131, Transpose, 1, 1, 631, 632 132, Reshape, 2, 1, 632, 634 133, Conv, 3, 1, 258, 405 134, Upsample, 2, 1, 412, 416 135, Add, 2, 1, 405, 417 136, Conv, 3, 1, 417, 418 137, Conv, 3, 1, 418, 789 138, Relu, 1, 1, 789, 458 139, Conv, 3, 1, 458, 792 140, Relu, 1, 1, 792, 461 141, Conv, 3, 1, 461, 795 142, Relu, 1, 1, 795, 464 143, Concat, 2, 1, 523, 524 144, Reshape, 2, 1, 524, 527 145, MatMul, 2, 1, 634, 666 146, Reshape, 2, 1, 666, 678 147, Conv, 2, 1, 630, 635 148, Transpose, 1, 1, 635, 636 149, Reshape, 2, 1, 636, 638 150, Add, 2, 1, 638, 647 151, Reshape, 2, 1, 647, 663 152, Reshape, 2, 1, 663, 687 153, Add, 2, 1, 678, 688 154, Reshape, 2, 1, 688, regs 155, Conv, 2, 1, 485, 511 156, Transpose, 1, 1, 511, 512 157, Reshape, 2, 1, 512, 514 158, Gather, 2, 1, 514, 516 159, Transpose, 1, 1, 516, 528 160, Reshape, 2, 1, 528, 537 161, Conv, 2, 1, 537, 538 162, Transpose, 1, 1, 538, 539 163, Reshape, 2, 1, 539, 541 164, MatMul, 2, 1, 541, 573 165, Reshape, 2, 1, 573, 585 166, Conv, 2, 1, 537, 542 167, Transpose, 1, 1, 542, 543 168, Reshape, 2, 1, 543, 545 169, Add, 2, 1, 545, 554 170, Reshape, 2, 1, 554, 570 171, Reshape, 2, 1, 570, 594 172, Add, 2, 1, 585, 595 173, Reshape, 2, 1, 595, masks 174, Transpose, 1, 1, masks, rout_tensor_1 175, Conv, 3, 1, rout_tensor_1, 710 176, Relu, 1, 1, 710, 711 177, Transpose, 1, 1, 711, 712 178, Conv, 3, 1, 712, 713 179, Transpose, 1, 1, 713, cls_logits 180, Conv, 3, 1, rout_tensor_1, v_c2_2_ 181, Relu, 1, 1, v_c2_2_, rout_tensor_3 182, Conv, 3, 1, rout_tensor_3, v_c2_4_ 183, Transpose, 1, 1, v_c2_4_, feat_range Input tensor name - image Output tensor name - seeds Output tensor name - masks Output tensor name - feat_range Output tensor name - cls_logits Output tensor name - regs Graph Domain TO version : 9In TIDL_onnxRtImportInit subgraph_name=501regscls_logitsfeat_range Layer 0, subgraph id 501regscls_logitsfeat_range, name=seeds Layer 1, subgraph id 501regscls_logitsfeat_range, name=masks Layer 2, subgraph id 501regscls_logitsfeat_range, name=feat_range Layer 3, subgraph id 501regscls_logitsfeat_range, name=cls_logits Layer 4, subgraph id 501regscls_logitsfeat_range, name=regs Layer 5, subgraph id 501regscls_logitsfeat_range, name=image debug_TIDL_onnxMapSqueezeBaseParams: lIdx-60 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 250 squeeze indim - 250 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-81 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 250 squeeze indim - 250 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-122 axisIdx-0 squeeze axis[0] - 0 squeeze indim - 1 squeeze indim - 1 squeeze indim - 20 squeeze indim - 50 debug_TIDL_onnxMapSqueezeBaseParams: numDim-4 axes-2 debug_TIDL_onnxMapTopKBaseParams: in-1 out-2 debug_TIDL_onnxMapSqueezeBaseParams: lIdx-126 axisIdx-0 squeeze axis[0] - 1 squeeze indim - 6 squeeze indim - 1 debug_TIDL_onnxMapSqueezeBaseParams: numDim-2 axes-5 In TIDL_runtimesOptimizeNet: LayerIndex = 190, dataIndex = 186 debug_tidl_optimizeNet0: numLayers-201 0 0 printing Current net 0|TIDL_DataLayer | |image | 0| 0| 0| 6| 1|TIDL_ConvolutionLayer |image |717 | 0| 1| 0| 3| 2|TIDL_ReLULayer |717 |227 | 1| 2| 0| 0| 3|TIDL_PoolingLayer |227 |228 | 2| 3| 0| 0| 4|TIDL_ConvolutionLayer |228 |720 | 3| 4| 0| 3| 5|TIDL_ReLULayer |720 |231 | 4| 5| 0| 0| 6|TIDL_ConvolutionLayer |231 |723 | 5| 6| 0| 3| 7|TIDL_EltWiseLayer |723 |234 | 6| 7| 0| 0| 8|TIDL_ReLULayer |234 |235 | 7| 8| 0| 0| 9|TIDL_ConvolutionLayer |235 |726 | 8| 9| 0| 3| 10|TIDL_ReLULayer |726 |238 | 9| 10| 0| 0| 11|TIDL_ConvolutionLayer |238 |729 | 10| 11| 0| 3| 12|TIDL_EltWiseLayer |729 |241 | 11| 12| 0| 0| 13|TIDL_ReLULayer |241 |242 | 12| 13| 0| 0| 14|TIDL_ConvolutionLayer |242 |738 | 13| 14| 0| 3| 15|TIDL_ConvolutionLayer |242 |732 | 13| 15| 0| 3| 16|TIDL_ReLULayer |732 |245 | 15| 16| 0| 0| 17|TIDL_ConvolutionLayer |245 |735 | 16| 17| 0| 3| 18|TIDL_EltWiseLayer |735 |250 | 17| 18| 0| 0| 19|TIDL_ReLULayer |250 |251 | 18| 19| 0| 0| 20|TIDL_ConvolutionLayer |251 |741 | 19| 20| 0| 3| 21|TIDL_ReLULayer |741 |254 | 20| 21| 0| 0| 22|TIDL_ConvolutionLayer |254 |744 | 21| 22| 0| 3| 23|TIDL_EltWiseLayer |744 |257 | 22| 23| 0| 0| 24|TIDL_ReLULayer |257 |258 | 23| 24| 0| 0| 25|TIDL_ConvolutionLayer |258 |753 | 24| 25| 0| 3| 26|TIDL_ConvolutionLayer |258 |747 | 24| 26| 0| 3| 27|TIDL_ReLULayer |747 |261 | 26| 27| 0| 0| 28|TIDL_ConvolutionLayer |261 |750 | 27| 28| 0| 3| 29|TIDL_EltWiseLayer |750 |266 | 28| 29| 0| 0| 30|TIDL_ReLULayer |266 |267 | 29| 30| 0| 0| 31|TIDL_ConvolutionLayer |267 |756 | 30| 31| 0| 3| 32|TIDL_ReLULayer |756 |270 | 31| 32| 0| 0| 33|TIDL_ConvolutionLayer |270 |759 | 32| 33| 0| 3| 34|TIDL_EltWiseLayer |759 |273 | 33| 34| 0| 0| 35|TIDL_ReLULayer |273 |274 | 34| 35| 0| 0| 36|TIDL_ConvolutionLayer |274 |406 | 35| 36| 0| 3| 37|TIDL_ConvolutionLayer |274 |768 | 35| 37| 0| 3| 38|TIDL_ConvolutionLayer |274 |762 | 35| 38| 0| 3| 39|TIDL_ReLULayer |762 |277 | 38| 39| 0| 0| 40|TIDL_ConvolutionLayer |277 |765 | 39| 40| 0| 3| 41|TIDL_EltWiseLayer |765 |282 | 40| 41| 0| 0| 42|TIDL_ReLULayer |282 |283 | 41| 42| 0| 0| 43|TIDL_ConvolutionLayer |283 |771 | 42| 43| 0| 3| 44|TIDL_ReLULayer |771 |286 | 43| 44| 0| 0| 45|TIDL_ConvolutionLayer |286 |774 | 44| 45| 0| 3| 46|TIDL_EltWiseLayer |774 |289 | 45| 46| 0| 0| 47|TIDL_ReLULayer |289 |290 | 46| 47| 0| 0| 48|TIDL_ConvolutionLayer |290 |777 | 47| 48| 0| 3| 49|TIDL_ReLULayer |777 |293 | 48| 49| 0| 0| 50|TIDL_ConvolutionLayer |258 |405 | 24| 50| 0| 3| 51|TIDL_ConstDataLayer | |303_190 | 0| 51| 0| 3| 52|TIDL_ConstDataLayer | |303_191 | 0| 52| 0| 3| 53|TIDL_ConstDataLayer | |442_192 | 0| 53| 0| 3| 54|TIDL_ConstDataLayer | |445_193 | 0| 54| 0| 3| 55|TIDL_ConstDataLayer | |447_194 | 0| 55| 0| 3| 56|TIDL_ConstDataLayer | |449_195 | 0| 56| 0| 3| 57|TIDL_ConstDataLayer | |447_196 | 0| 57| 0| 3| 58|TIDL_ConstDataLayer | |449_197 | 0| 58| 0| 3| 59|TIDL_ConstDataLayer | |523_198 | 0| 59| 0| 3| 60|TIDL_ConstDataLayer | |646_199 | 0| 60| 0| 3| 61|TIDL_ConstDataLayer | |553_200 | 0| 61| 0| 3| 62|TIDL_EltWiseLayer |293 |304 | 49| 62| 0| 0| 63|TIDL_ConvolutionLayer |304 |327 | 62| 63| 0| 3| 64|TIDL_ReshapeLayer |327 |334 | 63| 64| 0| 0| 65|TIDL_ConvolutionLayer |304 |314 | 62| 65| 0| 3| 66|TIDL_ReshapeLayer |314 |321 | 65| 66| 0| 0| 67|TIDL_ConvolutionLayer |304 |305 | 62| 67| 0| 3| 68|TIDL_ReshapeLayer |305 |312 | 67| 68| 0| 0| 69|TIDL_TransposeLayer |312 |313 | 68| 69| 0| 0| 70|TIDL_InnerProductLayer |313 |322 | 69| 70| 0| 3| 71|TIDL_ReshapeLayer |322 |323 | 70| 71| 0| 0| 72|TIDL_SoftMaxLayer |323 |324 | 71| 72| 0| 0| 73|TIDL_SqueezeLayer |324 |325 | 72| 73| 0| 0| 74|TIDL_TransposeLayer |325 |326 | 73| 74| 0| 0| 75|TIDL_InnerProductLayer |334 |335 | 64| 75| 0| 3| 76|TIDL_ReshapeLayer |335 |342 | 75| 76| 0| 0| 77|TIDL_BatchNormLayer |342 |343 | 76| 77| 0| 0| 78|TIDL_EltWiseLayer |343 |344 | 77| 78| 0| 0| 79|TIDL_ConvolutionLayer |344 |780 | 78| 79| 0| 3| 80|TIDL_ReLULayer |780 |347 | 79| 80| 0| 0| 81|TIDL_ConvolutionLayer |347 |783 | 80| 81| 0| 3| 82|TIDL_ReLULayer |783 |350 | 81| 82| 0| 0| 83|TIDL_EltWiseLayer |350 |361 | 82| 83| 0| 0| 84|TIDL_ConvolutionLayer |361 |384 | 83| 84| 0| 3| 85|TIDL_ReshapeLayer |384 |391 | 84| 85| 0| 0| 86|TIDL_ConvolutionLayer |361 |371 | 83| 86| 0| 3| 87|TIDL_ReshapeLayer |371 |378 | 86| 87| 0| 0| 88|TIDL_ConvolutionLayer |361 |362 | 83| 88| 0| 3| 89|TIDL_ReshapeLayer |362 |369 | 88| 89| 0| 0| 90|TIDL_TransposeLayer |369 |370 | 89| 90| 0| 0| 91|TIDL_InnerProductLayer |370 |379 | 90| 91| 0| 3| 92|TIDL_ReshapeLayer |379 |380 | 91| 92| 0| 0| 93|TIDL_SoftMaxLayer |380 |381 | 92| 93| 0| 0| 94|TIDL_SqueezeLayer |381 |382 | 93| 94| 0| 0| 95|TIDL_TransposeLayer |382 |383 | 94| 95| 0| 0| 96|TIDL_InnerProductLayer |391 |392 | 85| 96| 0| 3| 97|TIDL_ReshapeLayer |392 |399 | 96| 97| 0| 0| 98|TIDL_BatchNormLayer |399 |400 | 97| 98| 0| 0| 99|TIDL_EltWiseLayer |400 |401 | 98| 99| 0| 0| 100|TIDL_ConvolutionLayer |401 |786 | 99| 100| 0| 3| 101|TIDL_ReLULayer |786 |404 | 100| 101| 0| 0| 102|TIDL_ConvolutionLayer |404 |407 | 101| 102| 0| 3| 103|TIDL_ResizeLayer |407 |411 | 102| 103| 0| 0| 104|TIDL_EltWiseLayer |406 |412 | 36| 104| 0| 0| 105|TIDL_ConvolutionLayer |412 |419 | 104| 105| 0| 3| 106|TIDL_ConvolutionLayer |419 |426 | 105| 106| 0| 3| 107|TIDL_ReLULayer |426 |427 | 106| 107| 0| 0| 108|TIDL_ConvolutionLayer |427 |428 | 107| 108| 0| 3| 109|TIDL_ReshapeLayer |428 |473 | 108| 109| 0| 0| 110|TIDL_TransposeLayer |473 |474 | 109| 110| 0| 0| 111|TIDL_ReshapeLayer |474 |485 | 110| 111| 0| 0| 112|TIDL_ConvolutionLayer |485 |604 | 111| 112| 0| 3| 113|TIDL_TransposeLayer |604 |605 | 112| 113| 0| 0| 114|TIDL_ReshapeLayer |605 |607 | 113| 114| 0| 0| 115|TIDL_ConvolutionLayer |419 |423 | 105| 115| 0| 3| 116|TIDL_ReLULayer |423 |424 | 115| 116| 0| 0| 117|TIDL_ConvolutionLayer |424 |425 | 116| 117| 0| 3| 118|TIDL_SigmoidLayer |425 |441 | 117| 118| 0| 2| 119|TIDL_EltWiseLayer |441 |443 | 118| 119| 0| 0| 120|TIDL_ReLULayer |443 |444 | 119| 120| 0| 0| 121|TIDL_EltWiseLayer |444 |446 | 120| 121| 0| 0| 122|TIDL_EltWiseLayer |447_194 |448 | 55| 122| 0| 0| 123|TIDL_EltWiseLayer |449_195 |450 | 56| 123| 0| 0| 124|TIDL_ReLULayer |450 |451 | 123| 124| 0| 0| 125|TIDL_EltWiseLayer |447_196 |453 | 57| 125| 0| 0| 126|TIDL_EltWiseLayer |449_197 |455 | 58| 126| 0| 0| 127|TIDL_PoolingLayer |455 |486 | 126| 127| 0| 0| 128|TIDL_BatchNormLayer |486 |488 | 127| 128| 0| 0| 129|TIDL_EltWiseLayer |455 |489 | 126| 129| 0| 0| 130|TIDL_BatchNormLayer |489 |491 | 129| 130| 0| 0| 131|TIDL_BatchNormLayer |491 |493 | 130| 131| 0| 0| 132|TIDL_ReLULayer |493 |494 | 131| 132| 0| 0| 133|TIDL_BatchNormLayer |494 |496 | 132| 133| 0| 0| 134|TIDL_EltWiseLayer |455 |497 | 126| 134| 0| 0| 135|TIDL_SqueezeLayer |497 |498 | 134| 135| 0| 0| 136|TIDL_ReshapeLayer |498 |500 | 135| 136| 0| 0| 137|TIDL_TopKLayer |500 |501 | 136| 137| 0| 0| 138|TIDL_ReshapeLayer |502 |seeds | 138| 139| 0| 0| 139|TIDL_SqueezeLayer |seeds |507 | 139| 140| 0| 0| 140|TIDL_GatherLayer |607 |609 | 114| 141| 0| 0| 141|TIDL_TransposeLayer |609 |621 | 141| 142| 0| 0| 142|TIDL_ReshapeLayer |621 |630 | 142| 143| 0| 0| 143|TIDL_ConvolutionLayer |630 |631 | 143| 144| 0| 3| 144|TIDL_TransposeLayer |631 |632 | 144| 145| 0| 0| 145|TIDL_ReshapeLayer |632 |634 | 145| 146| 0| 0| 146|TIDL_ResizeLayer |412 |416 | 104| 147| 0| 0| 147|TIDL_EltWiseLayer |405 |417 | 50| 148| 0| 0| 148|TIDL_ConvolutionLayer |417 |418 | 148| 149| 0| 3| 149|TIDL_ConvolutionLayer |418 |789 | 149| 150| 0| 3| 150|TIDL_ReLULayer |789 |458 | 150| 151| 0| 0| 151|TIDL_ConvolutionLayer |458 |792 | 151| 152| 0| 3| 152|TIDL_ReLULayer |792 |461 | 152| 153| 0| 0| 153|TIDL_ConvolutionLayer |461 |795 | 153| 154| 0| 3| 154|TIDL_ReLULayer |795 |464 | 154| 155| 0| 0| 155|TIDL_ConcatLayer |523_198 |524 | 59| 156| 0| 0| 156|TIDL_ReshapeLayer |524 |527 | 156| 157| 0| 0| 157|TIDL_InnerProductLayer |634 |666 | 146| 158| 0| 3| 158|TIDL_ReshapeLayer |666 |678 | 158| 159| 0| 0| 159|TIDL_ConvolutionLayer |630 |635 | 143| 160| 0| 3| 160|TIDL_TransposeLayer |635 |636 | 160| 161| 0| 0| 161|TIDL_ReshapeLayer |636 |638 | 161| 162| 0| 0| 162|TIDL_EltWiseLayer |638 |647 | 162| 163| 0| 0| 163|TIDL_ReshapeLayer |647 |663 | 163| 164| 0| 0| 164|TIDL_ReshapeLayer |663 |687 | 164| 165| 0| 0| 165|TIDL_EltWiseLayer |678 |688 | 159| 166| 0| 0| 166|TIDL_ReshapeLayer |688 |regs | 166| 167| 0| 0| 167|TIDL_ConvolutionLayer |485 |511 | 111| 168| 0| 3| 168|TIDL_TransposeLayer |511 |512 | 168| 169| 0| 0| 169|TIDL_ReshapeLayer |512 |514 | 169| 170| 0| 0| 170|TIDL_GatherLayer |514 |516 | 170| 171| 0| 0| 171|TIDL_TransposeLayer |516 |528 | 171| 172| 0| 0| 172|TIDL_ReshapeLayer |528 |537 | 172| 173| 0| 0| 173|TIDL_ConvolutionLayer |537 |538 | 173| 174| 0| 3| 174|TIDL_TransposeLayer |538 |539 | 174| 175| 0| 0| 175|TIDL_ReshapeLayer |539 |541 | 175| 176| 0| 0| 176|TIDL_InnerProductLayer |541 |573 | 176| 177| 0| 3| 177|TIDL_ReshapeLayer |573 |585 | 177| 178| 0| 0| 178|TIDL_ConvolutionLayer |537 |542 | 173| 179| 0| 3| 179|TIDL_TransposeLayer |542 |543 | 179| 180| 0| 0| 180|TIDL_ReshapeLayer |543 |545 | 180| 181| 0| 0| 181|TIDL_EltWiseLayer |545 |554 | 181| 182| 0| 0| 182|TIDL_ReshapeLayer |554 |570 | 182| 183| 0| 0| 183|TIDL_ReshapeLayer |570 |594 | 183| 184| 0| 0| 184|TIDL_EltWiseLayer |585 |595 | 178| 185| 0| 0| 185|TIDL_ReshapeLayer |595 |masks | 185| 186| 0| 0| 186|TIDL_TransposeLayer |masks |rout_tensor_1 | 186| 187| 0| 0| 187|TIDL_ConvolutionLayer |rout_tensor_1 |710 | 187| 188| 0| 3| 188|TIDL_ReLULayer |710 |711 | 188| 189| 0| 0| 189|TIDL_TransposeLayer |711 |712 | 189| 190| 0| 0| 190|TIDL_ConvolutionLayer |712 |713 | 190| 191| 0| 3| 191|TIDL_TransposeLayer |713 |cls_logits | 191| 192| 0| 0| 192|TIDL_ConvolutionLayer |rout_tensor_1 |v_c2_2_ | 187| 193| 0| 3| 193|TIDL_ReLULayer |v_c2_2_ |rout_tensor_3 | 193| 194| 0| 0| 194|TIDL_ConvolutionLayer |rout_tensor_3 |v_c2_4_ | 194| 195| 0| 3| 195|TIDL_TransposeLayer |v_c2_4_ |feat_range | 195| 196| 0| 0| 196|TIDL_DataLayer |seeds |seeds | 139| 0| 0| 0| 197|TIDL_DataLayer |masks |masks | 186| 0| 0| 0| 198|TIDL_DataLayer |feat_range |feat_range | 196| 0| 0| 0| 199|TIDL_DataLayer |cls_logits |cls_logits | 192| 0| 0| 0| 200|TIDL_DataLayer |regs |regs | 167| 0| 0| 0| debug_TIDL_tfOutReshapeReshapeLayer: lInd - 64, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 66, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 68, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 71, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-73 type-2 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 76, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 85, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 87, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 89, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 92, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-94 type-2 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 97, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 109, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 111, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 114, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-135 type-3 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 136, eltType - 3 debug_TIDL_tfOutReshapeTopK: numOutBufs-2 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 138, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-139 type-3 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 142, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 145, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 156, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 158, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 161, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 163, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 164, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 166, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 169, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 172, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 175, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 177, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 180, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 182, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 183, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 185, eltType - 3 debug_tidl_optimizeNet1: numLayers-201 0 0 debug_tidl_optimizeNet2: numLayers-169 0 0 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 46, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 48, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 50, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 53, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-55 type-2 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 58, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 65, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 67, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 69, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 72, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-74 type-2 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 77, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 87, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 89, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 92, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-108 type-3 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 109, eltType - 3 debug_TIDL_tfOutReshapeTopK: numOutBufs-2 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 111, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-112 type-3 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 115, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 118, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 126, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 128, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 131, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 133, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 134, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 136, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 139, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 142, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 145, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 147, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 150, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 152, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 153, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 155, eltType - 3 debug_tidl_optimizeNet3: numLayers-167 0 0 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 47, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 49, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 51, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 54, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-56 type-2 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 58, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 65, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 67, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 69, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 72, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-74 type-2 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 76, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 86, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 88, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 91, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-107 type-3 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 108, eltType - 3 debug_TIDL_tfOutReshapeTopK: numOutBufs-2 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 110, eltType - 3 debug_TIDL_tfOutReshapeSqueeze: axis[5] - 1 debug_TIDL_tfOutReshapeSqueeze: axis[4] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[3] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[2] - 0 debug_TIDL_tfOutReshapeSqueeze: axis[1] - 0 debug_TIDL_tfOutReshapeSqueeze: lInd-111 type-3 1 1 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 114, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 117, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 125, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 127, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 130, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 132, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 133, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 135, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 138, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 141, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 144, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 146, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 149, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 151, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 152, eltType - 3 debug_TIDL_tfOutReshapeReshapeLayer: lInd - 154, eltType - 3 debug_tidl_optimizeNet4: numLayers-173 0 0 debug_tidl_optimizeNet4.2: numLayers-173 debug_tidl_optimizeNet5: numLayers-263 debug_tidl_optimizeNet6: numLayers-263 debug_tidl_optimizeNet7: numLayers-263 printing Current net 0|TIDL_DataLayer | |image | 0| 0| 0| 6| 1|TIDL_ConstDataLayer | |303_190 | 0| 1| 0| 3| 2|TIDL_ConstDataLayer | |303_191 | 0| 2| 0| 3| 3|TIDL_ConstDataLayer | |442_192 | 0| 3| 0| 3| 4|TIDL_ConstDataLayer | |445_193 | 0| 4| 0| 3| 5|TIDL_ConstDataLayer | |447_194 | 0| 5| 0| 3| 6|TIDL_ConstDataLayer | |449_195 | 0| 6| 0| 3| 7|TIDL_ConstDataLayer | |447_196 | 0| 7| 0| 3| 8|TIDL_ConstDataLayer | |449_197 | 0| 8| 0| 3| 9|TIDL_ConstDataLayer | |523_198 | 0| 9| 0| 3| 10|TIDL_ConstDataLayer | |646_199 | 0| 10| 0| 3| 11|TIDL_ConstDataLayer | |553_200 | 0| 11| 0| 3| 12|TIDL_DataConvertLayer |image |image_netFormat | 0| 12| 6| 3| 13|TIDL_ConvolutionLayer |image_netFormat |227 | 12| 13| 3| 2| 14|TIDL_PoolingLayer |227 |228 | 13| 14| 2| 2| 15|TIDL_ConvolutionLayer |228 |231 | 14| 15| 2| 2| 16|TIDL_ConvolutionLayer |231 |723 | 15| 16| 2| 3| 17|TIDL_EltWiseLayer |723 |235 | 16| 17| 3| 2| 18|TIDL_ConvolutionLayer |235 |238 | 17| 18| 2| 2| 19|TIDL_ConvolutionLayer |238 |729 | 18| 19| 2| 3| 20|TIDL_EltWiseLayer |729 |242 | 19| 20| 3| 2| 21|TIDL_ConvolutionLayer |242 |738 | 20| 21| 2| 3| 22|TIDL_ConvolutionLayer |242 |245 | 20| 22| 2| 2| 23|TIDL_ConvolutionLayer |245 |735 | 22| 23| 2| 3| 24|TIDL_EltWiseLayer |735 |251 | 23| 24| 3| 2| 25|TIDL_ConvolutionLayer |251 |254 | 24| 25| 2| 2| 26|TIDL_ConvolutionLayer |254 |744 | 25| 26| 2| 3| 27|TIDL_EltWiseLayer |744 |258 | 26| 27| 3| 2| 28|TIDL_ConvolutionLayer |258 |753 | 27| 28| 2| 3| 29|TIDL_ConvolutionLayer |258 |261 | 27| 29| 2| 2| 30|TIDL_ConvolutionLayer |261 |750 | 29| 30| 2| 3| 31|TIDL_EltWiseLayer |750 |267 | 30| 31| 3| 2| 32|TIDL_ConvolutionLayer |267 |270 | 31| 32| 2| 2| 33|TIDL_ConvolutionLayer |270 |759 | 32| 33| 2| 3| 34|TIDL_EltWiseLayer |759 |274 | 33| 34| 3| 2| 35|TIDL_ConvolutionLayer |274 |406 | 34| 35| 2| 3| 36|TIDL_ConvolutionLayer |274 |768 | 34| 36| 2| 3| 37|TIDL_ConvolutionLayer |274 |277 | 34| 37| 2| 2| 38|TIDL_ConvolutionLayer |277 |765 | 37| 38| 2| 3| 39|TIDL_EltWiseLayer |765 |283 | 38| 39| 3| 2| 40|TIDL_ConvolutionLayer |283 |286 | 39| 40| 2| 2| 41|TIDL_ConvolutionLayer |286 |774 | 40| 41| 2| 3| 42|TIDL_EltWiseLayer |774 |290 | 41| 42| 3| 2| 43|TIDL_ConvolutionLayer |290 |293 | 42| 43| 2| 2| 44|TIDL_ConvolutionLayer |258 |405 | 27| 44| 2| 3| 45|TIDL_EltWiseLayer |293 |304 | 43| 45| 2| 3| 46|TIDL_ConvolutionLayer |304 |327 | 45| 46| 3| 3| 47|TIDL_ConvolutionLayer |304 |314 | 45| 48| 3| 3| 48|TIDL_ConvolutionLayer |304 |305 | 45| 50| 3| 3| 49|TIDL_DataConvertLayer |327 |327_netFormatB | 46| 272| 3| 3| 50|TIDL_DataConvertLayer |314 |314_netFormatB | 48| 274| 3| 3| 51|TIDL_DataConvertLayer |305 |305_netFormatB | 50| 276| 3| 3| 52|TIDL_ReshapeLayer |327_netFormatB |334_netFormatA | 272| 271| 3| 3| 53|TIDL_ReshapeLayer |314_netFormatB |321_netFormatA | 274| 273| 3| 3| 54|TIDL_ReshapeLayer |305_netFormatB |312_netFormatA | 276| 275| 3| 3| 55|TIDL_DataConvertLayer |334_netFormatA |334 | 271| 47| 3| 3| 56|TIDL_DataConvertLayer |321_netFormatA |321 | 273| 49| 3| 3| 57|TIDL_DataConvertLayer |312_netFormatA |312 | 275| 51| 3| 3| 58|TIDL_DataConvertLayer |312 |312_2 | 51| 52| 3| 3| 59|TIDL_DataConvertLayer |312_2 |312_2_netFormatB | 52| 278| 3| 3| 60|TIDL_ReshapeLayer |312_2_netFormatB |312_2_52_netFormatA | 278| 277| 3| 3| 61|TIDL_DataConvertLayer |312_2_52_netFormatA |312_2_52 | 277| 53| 3| 3| 62|TIDL_DataConvertLayer |312_2_52 |312_2_36 | 53| 54| 3| 3| 63|TIDL_DataConvertLayer |312_2_36 |312_2_36_netFormatB | 54| 280| 3| 3| 64|TIDL_ReshapeLayer |312_2_36_netFormatB |313_3_netFormatA | 280| 279| 3| 3| 65|TIDL_DataConvertLayer |313_3_netFormatA |313_3 | 279| 55| 3| 3| 66|TIDL_DataConvertLayer |313_3 |313 | 55| 56| 3| 3| 67|TIDL_InnerProductLayer |313 |323 | 56| 57| 3| 3| 68|TIDL_DataConvertLayer |323 |323_4 | 57| 58| 3| 3| 69|TIDL_DataConvertLayer |323_4 |323_4_netFormatB | 58| 282| 3| 3| 70|TIDL_ReshapeLayer |323_4_netFormatB |323_4_53_netFormatA | 282| 281| 3| 3| 71|TIDL_DataConvertLayer |323_4_53_netFormatA |323_4_53 | 281| 59| 3| 3| 72|TIDL_DataConvertLayer |323_4_53 |323_4_37 | 59| 60| 3| 3| 73|TIDL_DataConvertLayer |323_4_37 |323_4_37_netFormatB | 60| 284| 3| 3| 74|TIDL_ReshapeLayer |323_4_37_netFormatB |323_0_5_netFormatA | 284| 283| 3| 3| 75|TIDL_DataConvertLayer |323_0_5_netFormatA |323_0_5 | 283| 61| 3| 3| 76|TIDL_DataConvertLayer |323_0_5 |323_0 | 61| 62| 3| 3| 77|TIDL_SoftMaxLayer |323_0 |324 | 62| 63| 3| 2| 78|TIDL_InnerProductLayer |334 |335 | 47| 64| 3| 3| 79|TIDL_DataConvertLayer |335 |335_netFormatB | 64| 286| 3| 3| 80|TIDL_ReshapeLayer |335_netFormatB |342_netFormatA | 286| 285| 3| 3| 81|TIDL_DataConvertLayer |342_netFormatA |342 | 285| 65| 3| 3| 82|TIDL_BatchNormLayer |342 |343 | 65| 66| 3| 3| 83|TIDL_EltWiseLayer |343 |344 | 66| 67| 3| 3| 84|TIDL_ConvolutionLayer |344 |347 | 67| 68| 3| 2| 85|TIDL_ConvolutionLayer |347 |350 | 68| 69| 2| 2| 86|TIDL_EltWiseLayer |350 |361 | 69| 70| 2| 3| 87|TIDL_ConvolutionLayer |361 |384 | 70| 71| 3| 3| 88|TIDL_ConvolutionLayer |361 |371 | 70| 73| 3| 3| 89|TIDL_ConvolutionLayer |361 |362 | 70| 75| 3| 3| 90|TIDL_DataConvertLayer |384 |384_netFormatB | 71| 288| 3| 3| 91|TIDL_DataConvertLayer |371 |371_netFormatB | 73| 290| 3| 3| 92|TIDL_DataConvertLayer |362 |362_netFormatB | 75| 292| 3| 3| 93|TIDL_ReshapeLayer |384_netFormatB |391_netFormatA | 288| 287| 3| 3| 94|TIDL_ReshapeLayer |371_netFormatB |378_netFormatA | 290| 289| 3| 3| 95|TIDL_ReshapeLayer |362_netFormatB |369_netFormatA | 292| 291| 3| 3| 96|TIDL_DataConvertLayer |391_netFormatA |391 | 287| 72| 3| 3| 97|TIDL_DataConvertLayer |378_netFormatA |378 | 289| 74| 3| 3| 98|TIDL_DataConvertLayer |369_netFormatA |369 | 291| 76| 3| 3| 99|TIDL_DataConvertLayer |369 |369_6 | 76| 77| 3| 3| 100|TIDL_DataConvertLayer |369_6 |369_6_netFormatB | 77| 294| 3| 3| 101|TIDL_ReshapeLayer |369_6_netFormatB |369_6_54_netFormatA | 294| 293| 3| 3| 102|TIDL_DataConvertLayer |369_6_54_netFormatA |369_6_54 | 293| 78| 3| 3| 103|TIDL_DataConvertLayer |369_6_54 |369_6_38 | 78| 79| 3| 3| 104|TIDL_DataConvertLayer |369_6_38 |369_6_38_netFormatB | 79| 296| 3| 3| 105|TIDL_ReshapeLayer |369_6_38_netFormatB |370_7_netFormatA | 296| 295| 3| 3| 106|TIDL_DataConvertLayer |370_7_netFormatA |370_7 | 295| 80| 3| 3| 107|TIDL_DataConvertLayer |370_7 |370 | 80| 81| 3| 3| 108|TIDL_InnerProductLayer |370 |380 | 81| 82| 3| 3| 109|TIDL_DataConvertLayer |380 |380_8 | 82| 83| 3| 3| 110|TIDL_DataConvertLayer |380_8 |380_8_netFormatB | 83| 298| 3| 3| 111|TIDL_ReshapeLayer |380_8_netFormatB |380_8_55_netFormatA | 298| 297| 3| 3| 112|TIDL_DataConvertLayer |380_8_55_netFormatA |380_8_55 | 297| 84| 3| 3| 113|TIDL_DataConvertLayer |380_8_55 |380_8_39 | 84| 85| 3| 3| 114|TIDL_DataConvertLayer |380_8_39 |380_8_39_netFormatB | 85| 300| 3| 3| 115|TIDL_ReshapeLayer |380_8_39_netFormatB |380_1_9_netFormatA | 300| 299| 3| 3| 116|TIDL_DataConvertLayer |380_1_9_netFormatA |380_1_9 | 299| 86| 3| 3| 117|TIDL_DataConvertLayer |380_1_9 |380_1 | 86| 87| 3| 3| 118|TIDL_SoftMaxLayer |380_1 |381 | 87| 88| 3| 2| 119|TIDL_InnerProductLayer |391 |392 | 72| 89| 3| 3| 120|TIDL_DataConvertLayer |392 |392_netFormatB | 89| 302| 3| 3| 121|TIDL_ReshapeLayer |392_netFormatB |399_netFormatA | 302| 301| 3| 3| 122|TIDL_DataConvertLayer |399_netFormatA |399 | 301| 90| 3| 3| 123|TIDL_BatchNormLayer |399 |400 | 90| 91| 3| 3| 124|TIDL_EltWiseLayer |400 |401 | 91| 92| 3| 3| 125|TIDL_ConvolutionLayer |401 |404 | 92| 93| 3| 2| 126|TIDL_ConvolutionLayer |404 |407 | 93| 94| 2| 3| 127|TIDL_ResizeLayer |407 |411 | 94| 95| 3| 3| 128|TIDL_EltWiseLayer |406 |412 | 35| 96| 3| 3| 129|TIDL_ConvolutionLayer |412 |419 | 96| 97| 3| 3| 130|TIDL_ConvolutionLayer |419 |427 | 97| 98| 3| 2| 131|TIDL_ConvolutionLayer |427 |473 | 98| 99| 2| 3| 132|TIDL_ConvolutionLayer |419 |424 | 97| 100| 3| 2| 133|TIDL_ConvolutionLayer |424 |425 | 100| 101| 2| 3| 134|TIDL_BatchNormLayer |425 |441 | 101| 102| 3| 2| 135|TIDL_EltWiseLayer |441 |444 | 102| 103| 2| 2| 136|TIDL_EltWiseLayer |444 |446 | 103| 104| 2| 3| 137|TIDL_EltWiseLayer |447_194 |448 | 5| 105| 3| 3| 138|TIDL_EltWiseLayer |449_195 |451 | 6| 106| 3| 2| 139|TIDL_EltWiseLayer |447_196 |453 | 7| 107| 3| 3| 140|TIDL_EltWiseLayer |449_197 |455 | 8| 108| 3| 3| 141|TIDL_PoolingLayer |455 |486 | 108| 109| 3| 3| 142|TIDL_BatchNormLayer |486 |488 | 109| 110| 3| 3| 143|TIDL_EltWiseLayer |455 |489 | 108| 111| 3| 3| 144|TIDL_BatchNormLayer |489 |494 | 111| 112| 3| 2| 145|TIDL_BatchNormLayer |494 |496 | 112| 113| 2| 3| 146|TIDL_EltWiseLayer |455 |497 | 108| 114| 3| 3| 147|TIDL_ResizeLayer |412 |416 | 96| 120| 3| 3| 148|TIDL_EltWiseLayer |405 |417 | 44| 121| 3| 3| 149|TIDL_ConvolutionLayer |417 |418 | 121| 122| 3| 3| 150|TIDL_ConvolutionLayer |418 |458 | 122| 123| 3| 2| 151|TIDL_ConvolutionLayer |458 |461 | 123| 124| 2| 2| 152|TIDL_ConvolutionLayer |461 |464 | 124| 125| 2| 2| 153|TIDL_ConcatLayer |523_198 |524 | 9| 126| 3| 3| 154|TIDL_ReshapeLayer |524 |527 | 126| 127| 3| 3| 155|TIDL_DataConvertLayer |473 |473_10 | 99| 129| 3| 3| 156|TIDL_TransposeLayer |473_10 |474_11 | 129| 130| 3| 3| 157|TIDL_DataConvertLayer |474_11 |474 | 130| 131| 3| 3| 158|TIDL_ReshapeLayer |474 |485 | 131| 132| 3| 3| 159|TIDL_ConvolutionLayer |485 |604 | 132| 133| 3| 3| 160|TIDL_ConvolutionLayer |485 |511 | 132| 134| 3| 3| 161|TIDL_DataConvertLayer |604 |604_12 | 133| 135| 3| 3| 162|TIDL_DataConvertLayer |511 |511_20 | 134| 136| 3| 3| 163|TIDL_DataConvertLayer |604_12 |604_12_40_56 | 135| 137| 3| 3| 164|TIDL_DataConvertLayer |511_20 |511_20_41_57 | 136| 138| 3| 3| 165|TIDL_ReshapeLayer |604_12_40_56 |604_12_40 | 137| 139| 3| 3| 166|TIDL_ReshapeLayer |511_20_41_57 |511_20_41 | 138| 140| 3| 3| 167|TIDL_ReshapeLayer |604_12_40 |605_13 | 139| 141| 3| 3| 168|TIDL_ReshapeLayer |511_20_41 |512_21 | 140| 142| 3| 3| 169|TIDL_DataConvertLayer |605_13 |605 | 141| 143| 3| 3| 170|TIDL_DataConvertLayer |512_21 |512 | 142| 144| 3| 3| 171|TIDL_ReshapeLayer |605 |607 | 143| 145| 3| 3| 172|TIDL_ReshapeLayer |512 |514 | 144| 147| 3| 3| 173|TIDL_DataConvertLayer |497 |497_netFormatB | 114| 304| 3| 3| 174|TIDL_ReshapeLayer |497_netFormatB |500_netFormatA | 304| 303| 3| 3| 175|TIDL_DataConvertLayer |500_netFormatA |500 | 303| 115| 3| 3| 176|TIDL_TopKLayer |500 |501 | 115| 116| 3| 3| 177|TIDL_ReshapeLayer |502 |seeds | 117| 118| 3| 3| 178|TIDL_ReshapeLayer |seeds |507 | 118| 119| 3| 3| 179|TIDL_DataLayer |seeds |seeds | 128| 0| 8| 0| 180|TIDL_DataConvertLayer |seeds |seeds | 118| 128| 3| 8| 181|TIDL_GatherLayer |607 |609 | 145| 146| 3| 3| 182|TIDL_GatherLayer |514 |516 | 147| 148| 3| 3| 183|TIDL_DataConvertLayer |609 |609_14 | 146| 149| 3| 3| 184|TIDL_DataConvertLayer |516 |516_22 | 148| 150| 3| 3| 185|TIDL_ReshapeLayer |609_14 |609_14_58 | 149| 151| 3| 3| 186|TIDL_ReshapeLayer |516_22 |516_22_59 | 150| 152| 3| 3| 187|TIDL_DataConvertLayer |609_14_58 |609_14_42 | 151| 153| 3| 3| 188|TIDL_DataConvertLayer |516_22_59 |516_22_43 | 152| 154| 3| 3| 189|TIDL_ReshapeLayer |609_14_42 |621_15 | 153| 155| 3| 3| 190|TIDL_ReshapeLayer |516_22_43 |528_23 | 154| 156| 3| 3| 191|TIDL_DataConvertLayer |621_15 |621 | 155| 157| 3| 3| 192|TIDL_DataConvertLayer |528_23 |528 | 156| 158| 3| 3| 193|TIDL_ReshapeLayer |621 |630 | 157| 159| 3| 3| 194|TIDL_ConvolutionLayer |630 |631 | 159| 160| 3| 3| 195|TIDL_ConvolutionLayer |630 |635 | 159| 161| 3| 3| 196|TIDL_ReshapeLayer |528 |537 | 158| 162| 3| 3| 197|TIDL_ConvolutionLayer |537 |538 | 162| 163| 3| 3| 198|TIDL_ConvolutionLayer |537 |542 | 162| 164| 3| 3| 199|TIDL_DataConvertLayer |631 |631_16 | 160| 165| 3| 3| 200|TIDL_DataConvertLayer |635 |635_18 | 161| 166| 3| 3| 201|TIDL_DataConvertLayer |538 |538_24 | 163| 167| 3| 3| 202|TIDL_DataConvertLayer |542 |542_26 | 164| 168| 3| 3| 203|TIDL_DataConvertLayer |631_16 |631_16_44_60 | 165| 169| 3| 3| 204|TIDL_DataConvertLayer |635_18 |635_18_45_61 | 166| 170| 3| 3| 205|TIDL_DataConvertLayer |538_24 |538_24_46_62 | 167| 171| 3| 3| 206|TIDL_DataConvertLayer |542_26 |542_26_47_63 | 168| 172| 3| 3| 207|TIDL_ReshapeLayer |631_16_44_60 |631_16_44 | 169| 173| 3| 3| 208|TIDL_ReshapeLayer |635_18_45_61 |635_18_45 | 170| 174| 3| 3| 209|TIDL_ReshapeLayer |538_24_46_62 |538_24_46 | 171| 175| 3| 3| 210|TIDL_ReshapeLayer |542_26_47_63 |542_26_47 | 172| 176| 3| 3| 211|TIDL_ReshapeLayer |631_16_44 |632_17 | 173| 177| 3| 3| 212|TIDL_ReshapeLayer |635_18_45 |636_19 | 174| 178| 3| 3| 213|TIDL_ReshapeLayer |538_24_46 |539_25 | 175| 179| 3| 3| 214|TIDL_ReshapeLayer |542_26_47 |543_27 | 176| 180| 3| 3| 215|TIDL_DataConvertLayer |632_17 |632 | 177| 181| 3| 3| 216|TIDL_DataConvertLayer |636_19 |636 | 178| 182| 3| 3| 217|TIDL_DataConvertLayer |539_25 |539 | 179| 183| 3| 3| 218|TIDL_DataConvertLayer |543_27 |543 | 180| 184| 3| 3| 219|TIDL_ReshapeLayer |632 |634 | 181| 185| 3| 3| 220|TIDL_InnerProductLayer |634 |666 | 185| 186| 3| 3| 221|TIDL_ReshapeLayer |666 |678 | 186| 187| 3| 3| 222|TIDL_ReshapeLayer |636 |638 | 182| 188| 3| 3| 223|TIDL_EltWiseLayer |638 |647 | 188| 189| 3| 3| 224|TIDL_ReshapeLayer |647 |663 | 189| 190| 3| 3| 225|TIDL_ReshapeLayer |663 |687 | 190| 191| 3| 3| 226|TIDL_EltWiseLayer |678 |regs | 187| 192| 3| 3| 227|TIDL_ReshapeLayer |539 |541 | 183| 193| 3| 3| 228|TIDL_InnerProductLayer |541 |573 | 193| 194| 3| 3| 229|TIDL_ReshapeLayer |573 |585 | 194| 195| 3| 3| 230|TIDL_ReshapeLayer |543 |545 | 184| 196| 3| 3| 231|TIDL_EltWiseLayer |545 |554 | 196| 197| 3| 3| 232|TIDL_ReshapeLayer |554 |570 | 197| 198| 3| 3| 233|TIDL_ReshapeLayer |570 |594 | 198| 199| 3| 3| 234|TIDL_EltWiseLayer |585 |masks | 195| 200| 3| 3| 235|TIDL_DataLayer |masks |masks | 201| 0| 6| 0| 236|TIDL_DataLayer |regs |regs | 202| 0| 6| 0| 237|TIDL_DataConvertLayer |masks |masks | 200| 201| 3| 6| 238|TIDL_DataConvertLayer |regs |regs | 192| 202| 3| 6| 239|TIDL_DataConvertLayer |masks |masks_28 | 200| 203| 3| 3| 240|TIDL_ReshapeLayer |masks_28 |masks_28_64 | 203| 204| 3| 3| 241|TIDL_DataConvertLayer |masks_28_64 |masks_28_48 | 204| 205| 3| 3| 242|TIDL_DataConvertLayer |masks_28_48 |rout_tensor_1 | 205| 206| 3| 3| 243|TIDL_ConvolutionLayer |rout_tensor_1 |711 | 206| 207| 3| 2| 244|TIDL_ConvolutionLayer |rout_tensor_1 |rout_tensor_3 | 206| 208| 3| 2| 245|TIDL_ConvolutionLayer |rout_tensor_3 |v_c2_4_ | 208| 209| 2| 3| 246|TIDL_DataConvertLayer |711 |711_30 | 207| 210| 2| 2| 247|TIDL_DataConvertLayer |v_c2_4_ |v_c2_4__34 | 209| 211| 3| 3| 248|TIDL_DataConvertLayer |v_c2_4__34 |v_c2_4__34_50_66 | 211| 212| 3| 3| 249|TIDL_ReshapeLayer |711_30 |711_30_65 | 210| 213| 2| 2| 250|TIDL_ReshapeLayer |v_c2_4__34_50_66 |v_c2_4__34_50 | 212| 214| 3| 3| 251|TIDL_DataConvertLayer |711_30_65 |711_30_49 | 213| 215| 2| 2| 252|TIDL_DataConvertLayer |711_30_49 |712 | 215| 216| 2| 2| 253|TIDL_DataConvertLayer |v_c2_4__34_50 |feat_range | 214| 217| 3| 3| 254|TIDL_ConvolutionLayer |712 |713 | 216| 218| 2| 3| 255|TIDL_DataLayer |feat_range |feat_range | 219| 0| 6| 0| 256|TIDL_DataConvertLayer |feat_range |feat_range | 217| 219| 3| 6| 257|TIDL_DataConvertLayer |713 |713_32 | 218| 220| 3| 3| 258|TIDL_DataConvertLayer |713_32 |713_32_51_67 | 220| 221| 3| 3| 259|TIDL_ReshapeLayer |713_32_51_67 |713_32_51 | 221| 222| 3| 3| 260|TIDL_DataConvertLayer |713_32_51 |cls_logits | 222| 223| 3| 3| 261|TIDL_DataLayer |cls_logits |cls_logits | 224| 0| 6| 0| 262|TIDL_DataConvertLayer |cls_logits |cls_logits | 223| 224| 3| 6| debug_tidl_optimizeNet8: final ops list:- printing Current net 0|TIDL_DataLayer | |image | 0| 0| 0| 6| 1|TIDL_ConstDataLayer | |303_190 | 0| 1| 0| 3| 2|TIDL_ConstDataLayer | |303_191 | 0| 2| 0| 3| 3|TIDL_ConstDataLayer | |442_192 | 0| 3| 0| 3| 4|TIDL_ConstDataLayer | |445_193 | 0| 4| 0| 3| 5|TIDL_ConstDataLayer | |447_194 | 0| 5| 0| 3| 6|TIDL_ConstDataLayer | |449_195 | 0| 6| 0| 3| 7|TIDL_ConstDataLayer | |447_196 | 0| 7| 0| 3| 8|TIDL_ConstDataLayer | |449_197 | 0| 8| 0| 3| 9|TIDL_ConstDataLayer | |523_198 | 0| 9| 0| 3| 10|TIDL_ConstDataLayer | |646_199 | 0| 10| 0| 3| 11|TIDL_ConstDataLayer | |553_200 | 0| 11| 0| 3| 12|TIDL_DataConvertLayer |image |image_netFormat | 0| 12| 6| 3| 13|TIDL_ConvolutionLayer |image_netFormat |227 | 12| 13| 3| 2| 14|TIDL_PoolingLayer |227 |228 | 13| 14| 2| 2| 15|TIDL_ConvolutionLayer |228 |231 | 14| 15| 2| 2| 16|TIDL_ConvolutionLayer |231 |723 | 15| 16| 2| 3| 17|TIDL_EltWiseLayer |723 |235 | 16| 17| 3| 2| 18|TIDL_ConvolutionLayer |235 |238 | 17| 18| 2| 2| 19|TIDL_ConvolutionLayer |238 |729 | 18| 19| 2| 3| 20|TIDL_EltWiseLayer |729 |242 | 19| 20| 3| 2| 21|TIDL_ConvolutionLayer |242 |738 | 20| 21| 2| 3| 22|TIDL_ConvolutionLayer |242 |245 | 20| 22| 2| 2| 23|TIDL_ConvolutionLayer |245 |735 | 22| 23| 2| 3| 24|TIDL_EltWiseLayer |735 |251 | 23| 24| 3| 2| 25|TIDL_ConvolutionLayer |251 |254 | 24| 25| 2| 2| 26|TIDL_ConvolutionLayer |254 |744 | 25| 26| 2| 3| 27|TIDL_EltWiseLayer |744 |258 | 26| 27| 3| 2| 28|TIDL_ConvolutionLayer |258 |753 | 27| 28| 2| 3| 29|TIDL_ConvolutionLayer |258 |261 | 27| 29| 2| 2| 30|TIDL_ConvolutionLayer |261 |750 | 29| 30| 2| 3| 31|TIDL_EltWiseLayer |750 |267 | 30| 31| 3| 2| 32|TIDL_ConvolutionLayer |267 |270 | 31| 32| 2| 2| 33|TIDL_ConvolutionLayer |270 |759 | 32| 33| 2| 3| 34|TIDL_EltWiseLayer |759 |274 | 33| 34| 3| 2| 35|TIDL_ConvolutionLayer |274 |406 | 34| 35| 2| 3| 36|TIDL_ConvolutionLayer |274 |768 | 34| 36| 2| 3| 37|TIDL_ConvolutionLayer |274 |277 | 34| 37| 2| 2| 38|TIDL_ConvolutionLayer |277 |765 | 37| 38| 2| 3| 39|TIDL_EltWiseLayer |765 |283 | 38| 39| 3| 2| 40|TIDL_ConvolutionLayer |283 |286 | 39| 40| 2| 2| 41|TIDL_ConvolutionLayer |286 |774 | 40| 41| 2| 3| 42|TIDL_EltWiseLayer |774 |290 | 41| 42| 3| 2| 43|TIDL_ConvolutionLayer |290 |293 | 42| 43| 2| 2| 44|TIDL_ConvolutionLayer |258 |405 | 27| 44| 2| 3| 45|TIDL_EltWiseLayer |293 |304 | 43| 45| 2| 3| 46|TIDL_ConvolutionLayer |304 |327 | 45| 46| 3| 3| 47|TIDL_ConvolutionLayer |304 |314 | 45| 47| 3| 3| 48|TIDL_ConvolutionLayer |304 |305 | 45| 48| 3| 3| 49|TIDL_DataConvertLayer |327 |327_netFormatB | 46| 49| 3| 3| 50|TIDL_DataConvertLayer |314 |314_netFormatB | 47| 50| 3| 3| 51|TIDL_DataConvertLayer |305 |305_netFormatB | 48| 51| 3| 3| 52|TIDL_ReshapeLayer |327_netFormatB |334_netFormatA | 49| 52| 3| 3| 53|TIDL_ReshapeLayer |314_netFormatB |321_netFormatA | 50| 53| 3| 3| 54|TIDL_ReshapeLayer |305_netFormatB |312_netFormatA | 51| 54| 3| 3| 55|TIDL_DataConvertLayer |334_netFormatA |334 | 52| 55| 3| 3| 56|TIDL_DataConvertLayer |321_netFormatA |321 | 53| 56| 3| 3| 57|TIDL_DataConvertLayer |312_netFormatA |312 | 54| 57| 3| 3| 58|TIDL_DataConvertLayer |312 |312_2 | 57| 58| 3| 3| 59|TIDL_DataConvertLayer |312_2 |312_2_netFormatB | 58| 59| 3| 3| 60|TIDL_ReshapeLayer |312_2_netFormatB |312_2_52_netFormatA | 59| 60| 3| 3| 61|TIDL_DataConvertLayer |312_2_52_netFormatA |312_2_52 | 60| 61| 3| 3| 62|TIDL_DataConvertLayer |312_2_52 |312_2_36 | 61| 62| 3| 3| 63|TIDL_DataConvertLayer |312_2_36 |312_2_36_netFormatB | 62| 63| 3| 3| 64|TIDL_ReshapeLayer |312_2_36_netFormatB |313_3_netFormatA | 63| 64| 3| 3| 65|TIDL_DataConvertLayer |313_3_netFormatA |313_3 | 64| 65| 3| 3| 66|TIDL_DataConvertLayer |313_3 |313 | 65| 66| 3| 3| 67|TIDL_InnerProductLayer |313 |323 | 66| 67| 3| 3| 68|TIDL_DataConvertLayer |323 |323_4 | 67| 68| 3| 3| 69|TIDL_DataConvertLayer |323_4 |323_4_netFormatB | 68| 69| 3| 3| 70|TIDL_ReshapeLayer |323_4_netFormatB |323_4_53_netFormatA | 69| 70| 3| 3| 71|TIDL_DataConvertLayer |323_4_53_netFormatA |323_4_53 | 70| 71| 3| 3| 72|TIDL_DataConvertLayer |323_4_53 |323_4_37 | 71| 72| 3| 3| 73|TIDL_DataConvertLayer |323_4_37 |323_4_37_netFormatB | 72| 73| 3| 3| 74|TIDL_ReshapeLayer |323_4_37_netFormatB |323_0_5_netFormatA | 73| 74| 3| 3| 75|TIDL_DataConvertLayer |323_0_5_netFormatA |323_0_5 | 74| 75| 3| 3| 76|TIDL_DataConvertLayer |323_0_5 |323_0 | 75| 76| 3| 3| 77|TIDL_SoftMaxLayer |323_0 |324 | 76| 77| 3| 2| 78|TIDL_InnerProductLayer |334 |335 | 55| 78| 3| 3| 79|TIDL_DataConvertLayer |335 |335_netFormatB | 78| 79| 3| 3| 80|TIDL_ReshapeLayer |335_netFormatB |342_netFormatA | 79| 80| 3| 3| 81|TIDL_DataConvertLayer |342_netFormatA |342 | 80| 81| 3| 3| 82|TIDL_BatchNormLayer |342 |343 | 81| 82| 3| 3| 83|TIDL_EltWiseLayer |343 |344 | 82| 83| 3| 3| 84|TIDL_ConvolutionLayer |344 |347 | 83| 84| 3| 2| 85|TIDL_ConvolutionLayer |347 |350 | 84| 85| 2| 2| 86|TIDL_EltWiseLayer |350 |361 | 85| 86| 2| 3| 87|TIDL_ConvolutionLayer |361 |384 | 86| 87| 3| 3| 88|TIDL_ConvolutionLayer |361 |371 | 86| 88| 3| 3| 89|TIDL_ConvolutionLayer |361 |362 | 86| 89| 3| 3| 90|TIDL_DataConvertLayer |384 |384_netFormatB | 87| 90| 3| 3| 91|TIDL_DataConvertLayer |371 |371_netFormatB | 88| 91| 3| 3| 92|TIDL_DataConvertLayer |362 |362_netFormatB | 89| 92| 3| 3| 93|TIDL_ReshapeLayer |384_netFormatB |391_netFormatA | 90| 93| 3| 3| 94|TIDL_ReshapeLayer |371_netFormatB |378_netFormatA | 91| 94| 3| 3| 95|TIDL_ReshapeLayer |362_netFormatB |369_netFormatA | 92| 95| 3| 3| 96|TIDL_DataConvertLayer |391_netFormatA |391 | 93| 96| 3| 3| 97|TIDL_DataConvertLayer |378_netFormatA |378 | 94| 97| 3| 3| 98|TIDL_DataConvertLayer |369_netFormatA |369 | 95| 98| 3| 3| 99|TIDL_DataConvertLayer |369 |369_6 | 98| 99| 3| 3| 100|TIDL_DataConvertLayer |369_6 |369_6_netFormatB | 99| 100| 3| 3| 101|TIDL_ReshapeLayer |369_6_netFormatB |369_6_54_netFormatA | 100| 101| 3| 3| 102|TIDL_DataConvertLayer |369_6_54_netFormatA |369_6_54 | 101| 102| 3| 3| 103|TIDL_DataConvertLayer |369_6_54 |369_6_38 | 102| 103| 3| 3| 104|TIDL_DataConvertLayer |369_6_38 |369_6_38_netFormatB | 103| 104| 3| 3| 105|TIDL_ReshapeLayer |369_6_38_netFormatB |370_7_netFormatA | 104| 105| 3| 3| 106|TIDL_DataConvertLayer |370_7_netFormatA |370_7 | 105| 106| 3| 3| 107|TIDL_DataConvertLayer |370_7 |370 | 106| 107| 3| 3| 108|TIDL_InnerProductLayer |370 |380 | 107| 108| 3| 3| 109|TIDL_DataConvertLayer |380 |380_8 | 108| 109| 3| 3| 110|TIDL_DataConvertLayer |380_8 |380_8_netFormatB | 109| 110| 3| 3| 111|TIDL_ReshapeLayer |380_8_netFormatB |380_8_55_netFormatA | 110| 111| 3| 3| 112|TIDL_DataConvertLayer |380_8_55_netFormatA |380_8_55 | 111| 112| 3| 3| 113|TIDL_DataConvertLayer |380_8_55 |380_8_39 | 112| 113| 3| 3| 114|TIDL_DataConvertLayer |380_8_39 |380_8_39_netFormatB | 113| 114| 3| 3| 115|TIDL_ReshapeLayer |380_8_39_netFormatB |380_1_9_netFormatA | 114| 115| 3| 3| 116|TIDL_DataConvertLayer |380_1_9_netFormatA |380_1_9 | 115| 116| 3| 3| 117|TIDL_DataConvertLayer |380_1_9 |380_1 | 116| 117| 3| 3| 118|TIDL_SoftMaxLayer |380_1 |381 | 117| 118| 3| 2| 119|TIDL_InnerProductLayer |391 |392 | 96| 119| 3| 3| 120|TIDL_DataConvertLayer |392 |392_netFormatB | 119| 120| 3| 3| 121|TIDL_ReshapeLayer |392_netFormatB |399_netFormatA | 120| 121| 3| 3| 122|TIDL_DataConvertLayer |399_netFormatA |399 | 121| 122| 3| 3| 123|TIDL_BatchNormLayer |399 |400 | 122| 123| 3| 3| 124|TIDL_EltWiseLayer |400 |401 | 123| 124| 3| 3| 125|TIDL_ConvolutionLayer |401 |404 | 124| 125| 3| 2| 126|TIDL_ConvolutionLayer |404 |407 | 125| 126| 2| 3| 127|TIDL_ResizeLayer |407 |411 | 126| 127| 3| 3| 128|TIDL_EltWiseLayer |406 |412 | 35| 128| 3| 3| 129|TIDL_ConvolutionLayer |412 |419 | 128| 129| 3| 3| 130|TIDL_ConvolutionLayer |419 |427 | 129| 130| 3| 2| 131|TIDL_ConvolutionLayer |427 |473 | 130| 131| 2| 3| 132|TIDL_ConvolutionLayer |419 |424 | 129| 132| 3| 2| 133|TIDL_ConvolutionLayer |424 |425 | 132| 133| 2| 3| 134|TIDL_BatchNormLayer |425 |441 | 133| 134| 3| 2| 135|TIDL_EltWiseLayer |441 |444 | 134| 135| 2| 2| 136|TIDL_EltWiseLayer |444 |446 | 135| 136| 2| 3| 137|TIDL_EltWiseLayer |447_194 |448 | 5| 137| 3| 3| 138|TIDL_EltWiseLayer |449_195 |451 | 6| 138| 3| 2| 139|TIDL_EltWiseLayer |447_196 |453 | 7| 139| 3| 3| 140|TIDL_EltWiseLayer |449_197 |455 | 8| 140| 3| 3| 141|TIDL_PoolingLayer |455 |486 | 140| 141| 3| 3| 142|TIDL_BatchNormLayer |486 |488 | 141| 142| 3| 3| 143|TIDL_EltWiseLayer |455 |489 | 140| 143| 3| 3| 144|TIDL_BatchNormLayer |489 |494 | 143| 144| 3| 2| 145|TIDL_BatchNormLayer |494 |496 | 144| 145| 2| 3| 146|TIDL_EltWiseLayer |455 |497 | 140| 146| 3| 3| 147|TIDL_ResizeLayer |412 |416 | 128| 147| 3| 3| 148|TIDL_EltWiseLayer |405 |417 | 44| 148| 3| 3| 149|TIDL_ConvolutionLayer |417 |418 | 148| 149| 3| 3| 150|TIDL_ConvolutionLayer |418 |458 | 149| 150| 3| 2| 151|TIDL_ConvolutionLayer |458 |461 | 150| 151| 2| 2| 152|TIDL_ConvolutionLayer |461 |464 | 151| 152| 2| 2| 153|TIDL_ConcatLayer |523_198 |524 | 9| 153| 3| 3| 154|TIDL_ReshapeLayer |524 |527 | 153| 154| 3| 3| 155|TIDL_DataConvertLayer |473 |473_10 | 131| 155| 3| 3| 156|TIDL_TransposeLayer |473_10 |474_11 | 155| 156| 3| 3| 157|TIDL_DataConvertLayer |474_11 |474 | 156| 157| 3| 3| 158|TIDL_ReshapeLayer |474 |485 | 157| 158| 3| 3| 159|TIDL_ConvolutionLayer |485 |604 | 158| 159| 3| 3| 160|TIDL_ConvolutionLayer |485 |511 | 158| 160| 3| 3| 161|TIDL_DataConvertLayer |604 |604_12 | 159| 161| 3| 3| 162|TIDL_DataConvertLayer |511 |511_20 | 160| 162| 3| 3| 163|TIDL_DataConvertLayer |604_12 |604_12_40_56 | 161| 163| 3| 3| 164|TIDL_DataConvertLayer |511_20 |511_20_41_57 | 162| 164| 3| 3| 165|TIDL_ReshapeLayer |604_12_40_56 |604_12_40 | 163| 165| 3| 3| 166|TIDL_ReshapeLayer |511_20_41_57 |511_20_41 | 164| 166| 3| 3| 167|TIDL_ReshapeLayer |604_12_40 |605_13 | 165| 167| 3| 3| 168|TIDL_ReshapeLayer |511_20_41 |512_21 | 166| 168| 3| 3| 169|TIDL_DataConvertLayer |605_13 |605 | 167| 169| 3| 3| 170|TIDL_DataConvertLayer |512_21 |512 | 168| 170| 3| 3| 171|TIDL_ReshapeLayer |605 |607 | 169| 171| 3| 3| 172|TIDL_ReshapeLayer |512 |514 | 170| 172| 3| 3| 173|TIDL_DataConvertLayer |497 |497_netFormatB | 146| 173| 3| 3| 174|TIDL_ReshapeLayer |497_netFormatB |500_netFormatA | 173| 174| 3| 3| 175|TIDL_DataConvertLayer |500_netFormatA |500 | 174| 175| 3| 3| 176|TIDL_TopKLayer |500 |501 | 175| 176| 3| 3| 177|TIDL_ReshapeLayer |502 |seeds | 176| 177| 3| 3| 178|TIDL_ReshapeLayer |seeds |507 | 177| 178| 3| 3| 179|TIDL_DataLayer |seeds |seeds | 180| 0| 8| 0| 180|TIDL_DataConvertLayer |seeds |seeds | 177| 180| 3| 8| 181|TIDL_GatherLayer |607 |609 | 171| 181| 3| 3| 182|TIDL_GatherLayer |514 |516 | 172| 182| 3| 3| 183|TIDL_DataConvertLayer |609 |609_14 | 181| 183| 3| 3| 184|TIDL_DataConvertLayer |516 |516_22 | 182| 184| 3| 3| 185|TIDL_ReshapeLayer |609_14 |609_14_58 | 183| 185| 3| 3| 186|TIDL_ReshapeLayer |516_22 |516_22_59 | 184| 186| 3| 3| 187|TIDL_DataConvertLayer |609_14_58 |609_14_42 | 185| 187| 3| 3| 188|TIDL_DataConvertLayer |516_22_59 |516_22_43 | 186| 188| 3| 3| 189|TIDL_ReshapeLayer |609_14_42 |621_15 | 187| 189| 3| 3| 190|TIDL_ReshapeLayer |516_22_43 |528_23 | 188| 190| 3| 3| 191|TIDL_DataConvertLayer |621_15 |621 | 189| 191| 3| 3| 192|TIDL_DataConvertLayer |528_23 |528 | 190| 192| 3| 3| 193|TIDL_ReshapeLayer |621 |630 | 191| 193| 3| 3| 194|TIDL_ConvolutionLayer |630 |631 | 193| 194| 3| 3| 195|TIDL_ConvolutionLayer |630 |635 | 193| 195| 3| 3| 196|TIDL_ReshapeLayer |528 |537 | 192| 196| 3| 3| 197|TIDL_ConvolutionLayer |537 |538 | 196| 197| 3| 3| 198|TIDL_ConvolutionLayer |537 |542 | 196| 198| 3| 3| 199|TIDL_DataConvertLayer |631 |631_16 | 194| 199| 3| 3| 200|TIDL_DataConvertLayer |635 |635_18 | 195| 200| 3| 3| 201|TIDL_DataConvertLayer |538 |538_24 | 197| 201| 3| 3| 202|TIDL_DataConvertLayer |542 |542_26 | 198| 202| 3| 3| 203|TIDL_DataConvertLayer |631_16 |631_16_44_60 | 199| 203| 3| 3| 204|TIDL_DataConvertLayer |635_18 |635_18_45_61 | 200| 204| 3| 3| 205|TIDL_DataConvertLayer |538_24 |538_24_46_62 | 201| 205| 3| 3| 206|TIDL_DataConvertLayer |542_26 |542_26_47_63 | 202| 206| 3| 3| 207|TIDL_ReshapeLayer |631_16_44_60 |631_16_44 | 203| 207| 3| 3| 208|TIDL_ReshapeLayer |635_18_45_61 |635_18_45 | 204| 208| 3| 3| 209|TIDL_ReshapeLayer |538_24_46_62 |538_24_46 | 205| 209| 3| 3| 210|TIDL_ReshapeLayer |542_26_47_63 |542_26_47 | 206| 210| 3| 3| 211|TIDL_ReshapeLayer |631_16_44 |632_17 | 207| 211| 3| 3| 212|TIDL_ReshapeLayer |635_18_45 |636_19 | 208| 212| 3| 3| 213|TIDL_ReshapeLayer |538_24_46 |539_25 | 209| 213| 3| 3| 214|TIDL_ReshapeLayer |542_26_47 |543_27 | 210| 214| 3| 3| 215|TIDL_DataConvertLayer |632_17 |632 | 211| 215| 3| 3| 216|TIDL_DataConvertLayer |636_19 |636 | 212| 216| 3| 3| 217|TIDL_DataConvertLayer |539_25 |539 | 213| 217| 3| 3| 218|TIDL_DataConvertLayer |543_27 |543 | 214| 218| 3| 3| 219|TIDL_ReshapeLayer |632 |634 | 215| 219| 3| 3| 220|TIDL_InnerProductLayer |634 |666 | 219| 220| 3| 3| 221|TIDL_ReshapeLayer |666 |678 | 220| 221| 3| 3| 222|TIDL_ReshapeLayer |636 |638 | 216| 222| 3| 3| 223|TIDL_EltWiseLayer |638 |647 | 222| 223| 3| 3| 224|TIDL_ReshapeLayer |647 |663 | 223| 224| 3| 3| 225|TIDL_ReshapeLayer |663 |687 | 224| 225| 3| 3| 226|TIDL_EltWiseLayer |678 |regs | 221| 226| 3| 3| 227|TIDL_ReshapeLayer |539 |541 | 217| 227| 3| 3| 228|TIDL_InnerProductLayer |541 |573 | 227| 228| 3| 3| 229|TIDL_ReshapeLayer |573 |585 | 228| 229| 3| 3| 230|TIDL_ReshapeLayer |543 |545 | 218| 230| 3| 3| 231|TIDL_EltWiseLayer |545 |554 | 230| 231| 3| 3| 232|TIDL_ReshapeLayer |554 |570 | 231| 232| 3| 3| 233|TIDL_ReshapeLayer |570 |594 | 232| 233| 3| 3| 234|TIDL_EltWiseLayer |585 |masks | 229| 234| 3| 3| 235|TIDL_DataLayer |masks |masks | 237| 0| 6| 0| 236|TIDL_DataLayer |regs |regs | 238| 0| 6| 0| 237|TIDL_DataConvertLayer |masks |masks | 234| 237| 3| 6| 238|TIDL_DataConvertLayer |regs |regs | 226| 238| 3| 6| 239|TIDL_DataConvertLayer |masks |masks_28 | 234| 239| 3| 3| 240|TIDL_ReshapeLayer |masks_28 |masks_28_64 | 239| 240| 3| 3| 241|TIDL_DataConvertLayer |masks_28_64 |masks_28_48 | 240| 241| 3| 3| 242|TIDL_DataConvertLayer |masks_28_48 |rout_tensor_1 | 241| 242| 3| 3| 243|TIDL_ConvolutionLayer |rout_tensor_1 |711 | 242| 243| 3| 2| 244|TIDL_ConvolutionLayer |rout_tensor_1 |rout_tensor_3 | 242| 244| 3| 2| 245|TIDL_ConvolutionLayer |rout_tensor_3 |v_c2_4_ | 244| 245| 2| 3| 246|TIDL_DataConvertLayer |711 |711_30 | 243| 246| 2| 2| 247|TIDL_DataConvertLayer |v_c2_4_ |v_c2_4__34 | 245| 247| 3| 3| 248|TIDL_DataConvertLayer |v_c2_4__34 |v_c2_4__34_50_66 | 247| 248| 3| 3| 249|TIDL_ReshapeLayer |711_30 |711_30_65 | 246| 249| 2| 2| 250|TIDL_ReshapeLayer |v_c2_4__34_50_66 |v_c2_4__34_50 | 248| 250| 3| 3| 251|TIDL_DataConvertLayer |711_30_65 |711_30_49 | 249| 251| 2| 2| 252|TIDL_DataConvertLayer |711_30_49 |712 | 251| 252| 2| 2| 253|TIDL_DataConvertLayer |v_c2_4__34_50 |feat_range | 250| 253| 3| 3| 254|TIDL_ConvolutionLayer |712 |713 | 252| 254| 2| 3| 255|TIDL_DataLayer |feat_range |feat_range | 256| 0| 6| 0| 256|TIDL_DataConvertLayer |feat_range |feat_range | 253| 256| 3| 6| 257|TIDL_DataConvertLayer |713 |713_32 | 254| 257| 3| 3| 258|TIDL_DataConvertLayer |713_32 |713_32_51_67 | 257| 258| 3| 3| 259|TIDL_ReshapeLayer |713_32_51_67 |713_32_51 | 258| 259| 3| 3| 260|TIDL_DataConvertLayer |713_32_51 |cls_logits | 259| 260| 3| 3| 261|TIDL_DataLayer |cls_logits |cls_logits | 262| 0| 6| 0| 262|TIDL_DataConvertLayer |cls_logits |cls_logits | 260| 262| 3| 6| debug_tidl_optimizeNetLast: numLayers-263 ************** Frame index 1 : Running float import ************* In TIDL_runtimesPostProcessNet In TIDL_runtimesPostProcessNet 1 In TIDL_runtimesPostProcessNet 2 In TIDL_runtimesPostProcessNet 3 0 image : 1x3x320x800 1 : 1x64x10x25 2 : 1x64x10x25 3 : 1x1x20x50 4 : 1x1x20x50 5 : 1x1x20x50 6 : 1x1x20x50 7 : 1x1x20x50 8 : 1x1x20x50 9 : 1x2x40x100 10 : 1x1x6x1 11 : 1x1x6x1 12 : 1x3x320x800 13 Conv_0 : 1x64x160x400 14 MaxPool_2 : 1x64x80x200 15 Conv_3 : 1x64x80x200 16 Conv_5 : 1x64x80x200 17 Add_6 : 1x64x80x200 18 Conv_8 : 1x64x80x200 19 Conv_10 : 1x64x80x200 20 Add_11 : 1x64x80x200 21 Conv_16 : 1x128x40x100 22 Conv_13 : 1x128x40x100 23 Conv_15 : 1x128x40x100 24 Add_17 : 1x128x40x100 25 Conv_19 : 1x128x40x100 26 Conv_21 : 1x128x40x100 27 Add_22 : 1x128x40x100 28 Conv_27 : 1x256x20x50 29 Conv_24 : 1x256x20x50 30 Conv_26 : 1x256x20x50 31 Add_28 : 1x256x20x50 32 Conv_30 : 1x256x20x50 33 Conv_32 : 1x256x20x50 34 Add_33 : 1x256x20x50 35 Conv_141 : 1x64x20x50 36 Conv_38 : 1x512x10x25 37 Conv_35 : 1x512x10x25 38 Conv_37 : 1x512x10x25 39 Add_39 : 1x512x10x25 40 Conv_41 : 1x512x10x25 41 Conv_43 : 1x512x10x25 42 Add_44 : 1x512x10x25 43 Conv_46 : 1x64x10x25 44 Conv_140 : 1x64x40x100 45 Add_58 : 1x64x10x25 46 Conv_77 : 1x64x10x25 47 Conv_66 : 1x16x10x25 48 Conv_59 : 1x16x10x25 49 : 1x64x10x25 50 : 1x16x10x25 51 : 1x16x10x25 52 Reshape_82 : 1x1x64x250 53 Reshape_71 : 1x1x16x250 54 Reshape_64 : 1x1x16x250 55 : 1x1x64x250 56 : 1x1x16x250 57 : 1x1x16x250 58 : 1x1x16x250 59 : 1x1x16x250 60 : 1x250x1x16 61 : 1x250x1x16 62 : 1x250x1x16 63 : 1x250x1x16 64 Transpose_65 : 1x1x250x16 65 : 1x1x250x16 66 : 1x1x250x16 67 MatMul_72 : 1x1x250x250 68 : 1x1x250x250 69 : 1x1x250x250 70 : 1x250x1x250 71 : 1x250x1x250 72 : 1x250x1x250 73 : 1x250x1x250 74 : 1x1x250x250 75 : 1x1x250x250 76 : 1x1x250x250 77 Softmax_74 : 1x1x250x250 78 MatMul_83 : 1x1x64x250 79 : 1x1x64x250 80 Reshape_88 : 1x64x10x25 81 : 1x64x10x25 82 Mul_89 : 1x64x10x25 83 Add_90 : 1x64x10x25 84 Conv_91 : 1x64x10x25 85 Conv_93 : 1x64x10x25 86 Add_105 : 1x64x10x25 87 Conv_124 : 1x64x10x25 88 Conv_113 : 1x16x10x25 89 Conv_106 : 1x16x10x25 90 : 1x64x10x25 91 : 1x16x10x25 92 : 1x16x10x25 93 Reshape_129 : 1x1x64x250 94 Reshape_118 : 1x1x16x250 95 Reshape_111 : 1x1x16x250 96 : 1x1x64x250 97 : 1x1x16x250 98 : 1x1x16x250 99 : 1x1x16x250 100 : 1x1x16x250 101 : 1x250x1x16 102 : 1x250x1x16 103 : 1x250x1x16 104 : 1x250x1x16 105 Transpose_112 : 1x1x250x16 106 : 1x1x250x16 107 : 1x1x250x16 108 MatMul_119 : 1x1x250x250 109 : 1x1x250x250 110 : 1x1x250x250 111 : 1x250x1x250 112 : 1x250x1x250 113 : 1x250x1x250 114 : 1x250x1x250 115 : 1x1x250x250 116 : 1x1x250x250 117 : 1x1x250x250 118 Softmax_121 : 1x1x250x250 119 MatMul_130 : 1x1x64x250 120 : 1x1x64x250 121 Reshape_135 : 1x64x10x25 122 : 1x64x10x25 123 Mul_136 : 1x64x10x25 124 Add_137 : 1x64x10x25 125 Conv_138 : 1x64x10x25 126 Conv_142 : 1x64x10x25 127 Upsample_143 : 1x64x20x50 128 Add_144 : 1x64x20x50 129 Conv_148 : 1x64x20x50 130 Conv_155 : 1x64x20x50 131 Conv_157 : 1x134x20x50 132 Conv_152 : 1x64x20x50 133 Conv_154 : 1x1x20x50 134 Sigmoid_170 : 1x1x20x50 135 Add_172 : 1x1x20x50 136 Add_175 : 1x1x20x50 137 Mul_177 : 1x1x20x50 138 Add_179 : 1x1x20x50 139 Mul_182 : 1x1x20x50 140 Add_184 : 1x1x20x50 141 MaxPool_204 : 1x1x20x50 142 Mul_206 : 1x1x20x50 143 Add_207 : 1x1x20x50 144 Add_211 : 1x1x20x50 145 Mul_214 : 1x1x20x50 146 Mul_215 : 1x1x20x50 147 Upsample_145 : 1x64x40x100 148 Add_146 : 1x64x40x100 149 Conv_147 : 1x64x40x100 150 Conv_185 : 1x64x40x100 151 Conv_187 : 1x64x40x100 152 Conv_189 : 1x64x40x100 153 Concat_241 : 1x66x40x100 154 Reshape_rc_0 : 1x1x66x4000 155 : 1x134x20x50 156 Transpose_196 : 1x1x20x50 157 : 1x1x20x50 158 Reshape_203 : 1x134x1x1000 159 Conv_289 : 1x67x1x1000 160 Conv_228 : 1x67x1x1000 161 : 1x67x1x1000 162 : 1x67x1x1000 163 : 1x67x1x1000 164 : 1x67x1x1000 165 : 1x1x1000x67 166 : 1x1x1000x67 167 Transpose_290 : 1x1000x1x67 168 Transpose_229 : 1x1000x1x67 169 : 1x1000x1x67 170 : 1x1000x1x67 171 Reshape_292 : 1x1x1000x67 172 Reshape_231 : 1x1x1000x67 173 : 1x1x20x50 174 Reshape_218 : 1x1x1x1000 175 : 1x1x1x1000 176 TopK_219 : 1x1x1x6 176 TopK_219 : 1x1x1x6 177 Reshape_221 : 1x1x6x1 178 Squeeze_224 : 1x1x1x6 180 : 1x1x6x1 181 Gather_294 : 1x1x6x67 182 Gather_233 : 1x1x6x67 183 : 1x1x6x67 184 : 1x1x6x67 185 : 1x67x1x6 186 : 1x67x1x6 187 : 1x67x1x6 188 : 1x67x1x6 189 Transpose_306 : 1x1x67x6 190 Transpose_245 : 1x1x67x6 191 : 1x1x67x6 192 : 1x1x67x6 193 Reshape_309 : 1x67x1x6 194 Conv_310 : 1x66x1x6 195 Conv_314 : 1x1x1x6 196 Reshape_248 : 1x67x1x6 197 Conv_249 : 1x66x1x6 198 Conv_253 : 1x1x1x6 199 : 1x66x1x6 200 : 1x1x1x6 201 : 1x66x1x6 202 : 1x1x1x6 203 : 1x66x1x6 204 : 1x1x1x6 205 : 1x66x1x6 206 : 1x1x1x6 207 : 1x1x6x66 208 : 1x1x6x1 209 : 1x1x6x66 210 : 1x1x6x1 211 Transpose_311 : 1x6x1x66 212 Transpose_315 : 1x6x1x1 213 Transpose_250 : 1x6x1x66 214 Transpose_254 : 1x6x1x1 215 : 1x6x1x66 216 : 1x6x1x1 217 : 1x6x1x66 218 : 1x6x1x1 219 Reshape_313 : 1x1x6x66 220 MatMul_rc_1 : 1x1x6x4000 221 Reshape_rc_2 : 1x6x40x100 222 Reshape_317 : 1x1x6x1 223 Add_324 : 1x1x6x1 224 Reshape_334 : 1x1x1x6 225 Reshape_344 : 1x6x1x1 226 Add_345 : 1x6x40x100 227 Reshape_252 : 1x1x6x66 228 MatMul_rc_0 : 1x1x6x4000 229 Reshape_rc_1 : 1x6x40x100 230 Reshape_256 : 1x1x6x1 231 Add_263 : 1x1x6x1 232 Reshape_273 : 1x1x1x6 233 Reshape_283 : 1x6x1x1 234 Add_284 : 1x6x40x100 237 : 1x6x40x100 238 : 1x6x40x100 239 : 1x6x40x100 240 : 1x100x6x40 241 : 1x100x6x40 242 : 1x100x6x40 243 Conv_363 : 1x1x6x40 244 Conv3_2 : 1x64x6x40 245 Conv3_4 : 1x2x6x40 246 : 1x1x6x40 247 : 1x2x6x40 248 : 1x2x6x40 249 : 1x40x1x6 250 : 1x6x40x2 251 : 1x40x1x6 252 : 1x40x1x6 253 : 1x6x40x2 254 Conv_366 : 1x8x1x6 256 : 1x6x40x2 257 : 1x8x1x6 258 : 1x8x1x6 259 : 1x1x6x8 260 : 1x1x6x8 262 : 1x1x6x8 INFORMATION: [TIDL_ResizeLayer] Upsample_143 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. INFORMATION: [TIDL_ResizeLayer] Upsample_145 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. **************************************************** ** 2 WARNINGS 0 ERRORS ** **************************************************** In TIDL_runtimesPostProcessNet 4 ************ in TIDL_subgraphRtCreate ************ The soft limit is 2048 The hard limit is 2048 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INIT:Enabled 0.9s: VX_ZONE_ERROR:Enabled 0.10s: VX_ZONE_WARNING:Enabled 0.2002s: VX_ZONE_INIT:[tivxInit:190] Initialization Done !!! debug_TIDL_alloc: inside TIDL_alloc debug_TIDL_alloc0: status-0, ok-0 fail--1 debug_TIDL_alloc0: lIdx-1 mem-0 64128 0 lT-39 debug_TIDL_alloc0: lIdx-2 mem-0 64128 0 lT-39 debug_TIDL_alloc0: lIdx-3 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-4 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-5 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-6 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-7 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-8 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-9 mem-0 32128 0 lT-39 debug_TIDL_alloc0: lIdx-10 mem-0 152 0 lT-39 debug_TIDL_alloc0: lIdx-11 mem-0 152 0 lT-39 debug_TIDL_alloc0: lIdx-12 mem-128 128 3151100 lT-29 debug_TIDL_alloc0: lIdx-13 mem-25099520 768 16733056 lT-1 debug_TIDL_alloc0: lIdx-14 mem-6406400 128 4270976 lT-2 debug_TIDL_alloc0: lIdx-15 mem-6406400 768 4270976 lT-1 debug_TIDL_alloc0: lIdx-16 mem-6144128 768 4096128 lT-1 debug_TIDL_alloc0: lIdx-17 mem-6406400 128 128 lT-5 debug_TIDL_alloc0: lIdx-18 mem-6406400 768 128 lT-1 debug_TIDL_alloc0: lIdx-19 mem-6144128 768 128 lT-1 debug_TIDL_alloc0: lIdx-20 mem-6406400 128 128 lT-5 debug_TIDL_alloc0: lIdx-21 mem-3072128 1280 2048128 lT-1 debug_TIDL_alloc0: lIdx-22 mem-3335552 1280 2223744 lT-1 debug_TIDL_alloc0: lIdx-23 mem-3072128 1280 2048128 lT-1 debug_TIDL_alloc0: lIdx-24 mem-3335552 128 128 lT-5 debug_TIDL_alloc0: lIdx-25 mem-3335552 1280 2223744 lT-1 debug_TIDL_alloc0: lIdx-26 mem-3072128 1280 128 lT-1 debug_TIDL_alloc0: lIdx-27 mem-3335552 128 128 lT-5 debug_TIDL_alloc0: lIdx-28 mem-1536128 2304 1024128 lT-1 debug_TIDL_alloc0: lIdx-29 mem-1801856 2304 1201280 lT-1 debug_TIDL_alloc0: lIdx-30 mem-1536128 2304 1024128 lT-1 debug_TIDL_alloc0: lIdx-31 mem-1801856 128 128 lT-5 debug_TIDL_alloc0: lIdx-32 mem-1801856 2304 1201280 lT-1 debug_TIDL_alloc0: lIdx-33 mem-1536128 2304 128 lT-1 debug_TIDL_alloc0: lIdx-34 mem-1801856 128 128 lT-5 debug_TIDL_alloc0: lIdx-35 mem-384128 768 128 lT-1 debug_TIDL_alloc0: lIdx-36 mem-768128 4352 512128 lT-1 debug_TIDL_alloc0: lIdx-37 mem-1038464 4352 692352 lT-1 debug_TIDL_alloc0: lIdx-38 mem-768128 4352 512128 lT-1 debug_TIDL_alloc0: lIdx-39 mem-1038464 128 128 lT-5 debug_TIDL_alloc0: lIdx-40 mem-1038464 4352 692352 lT-1 debug_TIDL_alloc0: lIdx-41 mem-768128 4352 128 lT-1 debug_TIDL_alloc0: lIdx-42 mem-1038464 128 128 lT-5 debug_TIDL_alloc0: lIdx-43 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-44 mem-1536128 768 128 lT-1 debug_TIDL_alloc0: lIdx-45 mem-96128 128 128 lT-5 debug_TIDL_alloc0: lIdx-46 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-47 mem-24128 384 16128 lT-1 debug_TIDL_alloc0: lIdx-48 mem-24128 384 16128 lT-1 debug_TIDL_alloc0: lIdx-49 mem-128 128 64128 lT-29 debug_TIDL_alloc0: lIdx-50 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-51 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-52 mem-128 128 64128 lT-38 debug_TIDL_alloc0: lIdx-53 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-54 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-55 mem-128 128 64128 lT-29 debug_TIDL_alloc0: lIdx-56 mem-128 128 16128 lT-29 debug_TIDL_alloc0: lIdx-57 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-58 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-59 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-60 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-61 mem-128 128 16128 lT-29 debug_TIDL_alloc0: lIdx-62 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-63 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-64 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-65 mem-128 128 16128 lT-29 debug_TIDL_alloc0: lIdx-66 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-67 mem-375128 256 250128 lT-6 debug_TIDL_alloc0: lIdx-68 mem-128 128 250128 lT-29 debug_TIDL_alloc0: lIdx-69 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-70 mem-128 128 250128 lT-38 debug_TIDL_alloc0: lIdx-71 mem-128 128 250128 lT-29 debug_TIDL_alloc0: lIdx-72 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-73 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-74 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-75 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-76 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-77 mem-128 128 128 lT-7 debug_TIDL_alloc0: lIdx-78 mem-96128 256 128 lT-6 debug_TIDL_alloc0: lIdx-79 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-80 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-81 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-82 mem-96128 1280 128 lT-8 debug_TIDL_alloc0: lIdx-83 mem-129920 128 128 lT-5 debug_TIDL_alloc0: lIdx-84 mem-129920 768 128 lT-1 debug_TIDL_alloc0: lIdx-85 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-86 mem-96128 128 128 lT-5 debug_TIDL_alloc0: lIdx-87 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-88 mem-24128 384 128 lT-1 debug_TIDL_alloc0: lIdx-89 mem-24128 384 128 lT-1 debug_TIDL_alloc0: lIdx-90 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-91 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-92 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-93 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-94 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-95 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-96 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-97 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-98 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-99 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-100 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-101 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-102 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-103 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-104 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-105 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-106 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-107 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-108 mem-375128 256 128 lT-6 debug_TIDL_alloc0: lIdx-109 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-110 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-111 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-112 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-113 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-114 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-115 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-116 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-117 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-118 mem-128 128 128 lT-7 debug_TIDL_alloc0: lIdx-119 mem-96128 256 128 lT-6 debug_TIDL_alloc0: lIdx-120 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-121 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-122 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-123 mem-96128 1280 128 lT-8 debug_TIDL_alloc0: lIdx-124 mem-129920 128 128 lT-5 debug_TIDL_alloc0: lIdx-125 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-126 mem-129920 768 128 lT-1 debug_TIDL_alloc0: lIdx-127 mem-128 128 128 lT-21 debug_TIDL_alloc0: lIdx-128 mem-450560 128 128 lT-5 debug_TIDL_alloc0: lIdx-129 mem-450560 768 128 lT-1 debug_TIDL_alloc0: lIdx-130 mem-384128 768 128 lT-1 debug_TIDL_alloc0: lIdx-131 mem-804128 1328 128 lT-1 debug_TIDL_alloc0: lIdx-132 mem-384128 768 128 lT-1 debug_TIDL_alloc0: lIdx-133 mem-6128 264 4128 lT-1 debug_TIDL_alloc0: lIdx-134 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-135 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-136 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-137 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-138 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-139 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-140 mem-7166 128 128 lT-5 debug_TIDL_alloc0: lIdx-141 mem-6128 128 128 lT-2 debug_TIDL_alloc0: lIdx-142 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-143 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-144 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-145 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-146 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-147 mem-128 128 128 lT-21 debug_TIDL_alloc0: lIdx-148 mem-1667840 128 128 lT-5 debug_TIDL_alloc0: lIdx-149 mem-1667840 768 128 lT-1 debug_TIDL_alloc0: lIdx-150 mem-1667840 768 128 lT-1 debug_TIDL_alloc0: lIdx-151 mem-1667840 768 128 lT-1 debug_TIDL_alloc0: lIdx-152 mem-1536128 768 128 lT-1 debug_TIDL_alloc0: lIdx-153 mem-4224128 128 128 lT-12 debug_TIDL_alloc0: lIdx-154 mem-128 128 1056128 lT-38 debug_TIDL_alloc0: lIdx-155 mem-128 128 536128 lT-29 debug_TIDL_alloc0: lIdx-156 mem-128 128 128 lT-41 debug_TIDL_alloc0: lIdx-157 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-158 mem-128 128 536128 lT-38 debug_TIDL_alloc0: lIdx-159 mem-402128 792 268128 lT-1 debug_TIDL_alloc0: lIdx-160 mem-402128 792 268128 lT-1 debug_TIDL_alloc0: lIdx-161 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-162 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-163 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-164 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-165 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-166 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-167 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-168 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-169 mem-128 128 268128 lT-29 debug_TIDL_alloc0: lIdx-170 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-171 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-172 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-173 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-174 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-175 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-176 mem-128 65920 152 lT-43 debug_TIDL_alloc0: lIdx-177 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-178 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-180 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-181 mem-128 128 1736 lT-40 debug_TIDL_alloc0: lIdx-182 mem-128 128 1736 lT-40 debug_TIDL_alloc0: lIdx-183 mem-128 128 1736 lT-29 debug_TIDL_alloc0: lIdx-184 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-185 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-186 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-187 mem-128 128 1736 lT-29 debug_TIDL_alloc0: lIdx-188 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-189 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-190 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-191 mem-128 128 1736 lT-29 debug_TIDL_alloc0: lIdx-192 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-193 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-194 mem-2504 784 128 lT-1 debug_TIDL_alloc0: lIdx-195 mem-164 264 128 lT-1 debug_TIDL_alloc0: lIdx-196 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-197 mem-2504 784 1712 lT-1 debug_TIDL_alloc0: lIdx-198 mem-164 264 128 lT-1 debug_TIDL_alloc0: lIdx-199 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-200 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-201 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-202 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-203 mem-128 128 1712 lT-29 debug_TIDL_alloc0: lIdx-204 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-205 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-206 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-207 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-208 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-209 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-210 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-211 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-212 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-213 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-214 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-215 mem-128 128 1712 lT-29 debug_TIDL_alloc0: lIdx-216 mem-128 128 152 lT-29 debug_TIDL_alloc0: lIdx-217 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-218 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-219 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-220 mem-144128 256 96128 lT-6 debug_TIDL_alloc0: lIdx-221 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-222 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-223 mem-164 128 128 lT-5 debug_TIDL_alloc0: lIdx-224 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-225 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-226 mem-144128 128 128 lT-5 debug_TIDL_alloc0: lIdx-227 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-228 mem-144128 256 128 lT-6 debug_TIDL_alloc0: lIdx-229 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-230 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-231 mem-164 128 128 lT-5 debug_TIDL_alloc0: lIdx-232 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-233 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-234 mem-144128 128 96128 lT-5 debug_TIDL_alloc0: lIdx-237 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-238 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-239 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-240 mem-128 128 96128 lT-38 debug_TIDL_alloc0: lIdx-241 mem-128 128 96128 lT-29 debug_TIDL_alloc0: lIdx-242 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-243 mem-1568 264 128 lT-1 debug_TIDL_alloc0: lIdx-244 mem-92288 768 61568 lT-1 debug_TIDL_alloc0: lIdx-245 mem-3008 272 128 lT-1 debug_TIDL_alloc0: lIdx-246 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-247 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-248 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-249 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-250 mem-128 128 2048 lT-38 debug_TIDL_alloc0: lIdx-251 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-252 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-253 mem-128 128 2048 lT-29 debug_TIDL_alloc0: lIdx-254 mem-416 320 128 lT-1 debug_TIDL_alloc0: lIdx-256 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-257 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-258 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-259 mem-128 128 320 lT-38 debug_TIDL_alloc0: lIdx-260 mem-128 128 320 lT-29 debug_TIDL_alloc0: lIdx-262 mem-128 128 128 lT-29 debug_TIDL_init0: lIdx-1 0 64128 0 debug_TIDL_init0: lIdx-2 0 64128 0 debug_TIDL_init0: lIdx-3 0 4128 0 debug_TIDL_init0: lIdx-4 0 4128 0 debug_TIDL_init0: lIdx-5 0 4128 0 debug_TIDL_init0: lIdx-6 0 4128 0 debug_TIDL_init0: lIdx-7 0 4128 0 debug_TIDL_init0: lIdx-8 0 4128 0 debug_TIDL_init0: lIdx-9 0 32128 0 debug_TIDL_init0: lIdx-10 0 152 0 debug_TIDL_init0: lIdx-11 0 152 0 debug_TIDL_init0: lIdx-12 128 128 3151100 debug_TIDL_init0: lIdx-13 25099520 768 16733056 debug_TIDL_init0: lIdx-14 6406400 128 4270976 debug_TIDL_init0: lIdx-15 6406400 768 4270976 debug_TIDL_init0: lIdx-16 6144128 768 4096128 debug_TIDL_init0: lIdx-17 6406400 128 128 debug_TIDL_init0: lIdx-18 6406400 768 128 debug_TIDL_init0: lIdx-19 6144128 768 128 debug_TIDL_init0: lIdx-20 6406400 128 128 debug_TIDL_init0: lIdx-21 3072128 1280 2048128 debug_TIDL_init0: lIdx-22 3335552 1280 2223744 debug_TIDL_init0: lIdx-23 3072128 1280 2048128 debug_TIDL_init0: lIdx-24 3335552 128 128 debug_TIDL_init0: lIdx-25 3335552 1280 2223744 debug_TIDL_init0: lIdx-26 3072128 1280 128 debug_TIDL_init0: lIdx-27 3335552 128 128 debug_TIDL_init0: lIdx-28 1536128 2304 1024128 debug_TIDL_init0: lIdx-29 1801856 2304 1201280 debug_TIDL_init0: lIdx-30 1536128 2304 1024128 debug_TIDL_init0: lIdx-31 1801856 128 128 debug_TIDL_init0: lIdx-32 1801856 2304 1201280 debug_TIDL_init0: lIdx-33 1536128 2304 128 debug_TIDL_init0: lIdx-34 1801856 128 128 debug_TIDL_init0: lIdx-35 384128 768 128 debug_TIDL_init0: lIdx-36 768128 4352 512128 debug_TIDL_init0: lIdx-37 1038464 4352 692352 debug_TIDL_init0: lIdx-38 768128 4352 512128 debug_TIDL_init0: lIdx-39 1038464 128 128 debug_TIDL_init0: lIdx-40 1038464 4352 692352 debug_TIDL_init0: lIdx-41 768128 4352 128 debug_TIDL_init0: lIdx-42 1038464 128 128 debug_TIDL_init0: lIdx-43 96128 768 128 debug_TIDL_init0: lIdx-44 1536128 768 128 debug_TIDL_init0: lIdx-45 96128 128 128 debug_TIDL_init0: lIdx-46 96128 768 128 debug_TIDL_init0: lIdx-47 24128 384 16128 debug_TIDL_init0: lIdx-48 24128 384 16128 debug_TIDL_init0: lIdx-49 128 128 64128 debug_TIDL_init0: lIdx-50 128 128 128 debug_TIDL_init0: lIdx-51 128 128 128 debug_TIDL_init0: lIdx-52 128 128 64128 debug_TIDL_init0: lIdx-53 128 128 16128 debug_TIDL_init0: lIdx-54 128 128 16128 debug_TIDL_init0: lIdx-55 128 128 64128 debug_TIDL_init0: lIdx-56 128 128 16128 debug_TIDL_init0: lIdx-57 128 128 128 debug_TIDL_init0: lIdx-58 128 128 128 debug_TIDL_init0: lIdx-59 128 128 128 debug_TIDL_init0: lIdx-60 128 128 16128 debug_TIDL_init0: lIdx-61 128 128 16128 debug_TIDL_init0: lIdx-62 128 128 128 debug_TIDL_init0: lIdx-63 128 128 128 debug_TIDL_init0: lIdx-64 128 128 16128 debug_TIDL_init0: lIdx-65 128 128 16128 debug_TIDL_init0: lIdx-66 128 128 128 debug_TIDL_init0: lIdx-67 375128 128 250128 debug_TIDL_init0: lIdx-68 128 128 250128 debug_TIDL_init0: lIdx-69 128 128 128 debug_TIDL_init0: lIdx-70 128 128 250128 debug_TIDL_init0: lIdx-71 128 128 250128 debug_TIDL_init0: lIdx-72 128 128 128 debug_TIDL_init0: lIdx-73 128 128 128 debug_TIDL_init0: lIdx-74 128 128 128 debug_TIDL_init0: lIdx-75 128 128 128 debug_TIDL_init0: lIdx-76 128 128 128 debug_TIDL_init0: lIdx-77 128 128 128 debug_TIDL_init0: lIdx-78 96128 128 128 debug_TIDL_init0: lIdx-79 128 128 128 debug_TIDL_init0: lIdx-80 128 128 128 debug_TIDL_init0: lIdx-81 128 128 128 debug_TIDL_init0: lIdx-82 96128 896 128 debug_TIDL_init0: lIdx-83 129920 128 128 debug_TIDL_init0: lIdx-84 129920 768 128 debug_TIDL_init0: lIdx-85 96128 768 128 debug_TIDL_init0: lIdx-86 96128 128 128 debug_TIDL_init0: lIdx-87 96128 768 128 debug_TIDL_init0: lIdx-88 24128 384 128 debug_TIDL_init0: lIdx-89 24128 384 128 debug_TIDL_init0: lIdx-90 128 128 128 debug_TIDL_init0: lIdx-91 128 128 128 debug_TIDL_init0: lIdx-92 128 128 128 debug_TIDL_init0: lIdx-93 128 128 128 debug_TIDL_init0: lIdx-94 128 128 128 debug_TIDL_init0: lIdx-95 128 128 128 debug_TIDL_init0: lIdx-96 128 128 128 debug_TIDL_init0: lIdx-97 128 128 128 debug_TIDL_init0: lIdx-98 128 128 128 debug_TIDL_init0: lIdx-99 128 128 128 debug_TIDL_init0: lIdx-100 128 128 128 debug_TIDL_init0: lIdx-101 128 128 128 debug_TIDL_init0: lIdx-102 128 128 128 debug_TIDL_init0: lIdx-103 128 128 128 debug_TIDL_init0: lIdx-104 128 128 128 debug_TIDL_init0: lIdx-105 128 128 128 debug_TIDL_init0: lIdx-106 128 128 128 debug_TIDL_init0: lIdx-107 128 128 128 debug_TIDL_init0: lIdx-108 375128 128 128 debug_TIDL_init0: lIdx-109 128 128 128 debug_TIDL_init0: lIdx-110 128 128 128 debug_TIDL_init0: lIdx-111 128 128 128 debug_TIDL_init0: lIdx-112 128 128 128 debug_TIDL_init0: lIdx-113 128 128 128 debug_TIDL_init0: lIdx-114 128 128 128 debug_TIDL_init0: lIdx-115 128 128 128 debug_TIDL_init0: lIdx-116 128 128 128 debug_TIDL_init0: lIdx-117 128 128 128 debug_TIDL_init0: lIdx-118 128 128 128 debug_TIDL_init0: lIdx-119 96128 128 128 debug_TIDL_init0: lIdx-120 128 128 128 debug_TIDL_init0: lIdx-121 128 128 128 debug_TIDL_init0: lIdx-122 128 128 128 debug_TIDL_init0: lIdx-123 96128 896 128 debug_TIDL_init0: lIdx-124 129920 128 128 debug_TIDL_init0: lIdx-125 96128 768 128 debug_TIDL_init0: lIdx-126 129920 768 128 debug_TIDL_init0: lIdx-127 128 128 128 debug_TIDL_init0: lIdx-128 450560 128 128 debug_TIDL_init0: lIdx-129 450560 768 128 debug_TIDL_init0: lIdx-130 384128 768 128 debug_TIDL_init0: lIdx-131 804128 1328 128 debug_TIDL_init0: lIdx-132 384128 768 128 debug_TIDL_init0: lIdx-133 6128 264 4128 debug_TIDL_init0: lIdx-134 6128 512 128 debug_TIDL_init0: lIdx-135 6128 128 128 debug_TIDL_init0: lIdx-136 6128 128 128 debug_TIDL_init0: lIdx-137 6128 128 128 debug_TIDL_init0: lIdx-138 6128 128 128 debug_TIDL_init0: lIdx-139 6128 128 128 debug_TIDL_init0: lIdx-140 7166 128 128 debug_TIDL_init0: lIdx-141 6128 128 128 debug_TIDL_init0: lIdx-142 6128 512 128 debug_TIDL_init0: lIdx-143 6128 128 128 debug_TIDL_init0: lIdx-144 6128 512 128 debug_TIDL_init0: lIdx-145 6128 512 128 debug_TIDL_init0: lIdx-146 6128 128 128 debug_TIDL_init0: lIdx-147 128 128 128 debug_TIDL_init0: lIdx-148 1667840 128 128 debug_TIDL_init0: lIdx-149 1667840 768 128 debug_TIDL_init0: lIdx-150 1667840 768 128 debug_TIDL_init0: lIdx-151 1667840 768 128 debug_TIDL_init0: lIdx-152 1536128 768 128 debug_TIDL_init0: lIdx-153 4224128 128 128 debug_TIDL_init0: lIdx-154 128 128 1056128 debug_TIDL_init0: lIdx-155 128 128 536128 debug_TIDL_init0: lIdx-156 128 128 128 debug_TIDL_init0: lIdx-157 128 128 128 debug_TIDL_init0: lIdx-158 128 128 536128 debug_TIDL_init0: lIdx-159 402128 792 268128 debug_TIDL_init0: lIdx-160 402128 792 268128 debug_TIDL_init0: lIdx-161 128 128 128 debug_TIDL_init0: lIdx-162 128 128 128 debug_TIDL_init0: lIdx-163 128 128 128 debug_TIDL_init0: lIdx-164 128 128 128 debug_TIDL_init0: lIdx-165 128 128 268128 debug_TIDL_init0: lIdx-166 128 128 268128 debug_TIDL_init0: lIdx-167 128 128 268128 debug_TIDL_init0: lIdx-168 128 128 268128 debug_TIDL_init0: lIdx-169 128 128 268128 debug_TIDL_init0: lIdx-170 128 128 128 debug_TIDL_init0: lIdx-171 128 128 128 debug_TIDL_init0: lIdx-172 128 128 128 debug_TIDL_init0: lIdx-173 128 128 128 debug_TIDL_init0: lIdx-174 128 128 128 debug_TIDL_init0: lIdx-175 128 128 128 debug_TIDL_init0: lIdx-176 128 65792 152 debug_TIDL_init0: lIdx-177 128 128 152 debug_TIDL_init0: lIdx-178 128 128 128 debug_TIDL_init0: lIdx-180 128 128 128 debug_TIDL_init0: lIdx-181 128 128 1736 debug_TIDL_init0: lIdx-182 128 128 1736 debug_TIDL_init0: lIdx-183 128 128 1736 debug_TIDL_init0: lIdx-184 128 128 128 debug_TIDL_init0: lIdx-185 128 128 1736 debug_TIDL_init0: lIdx-186 128 128 1736 debug_TIDL_init0: lIdx-187 128 128 1736 debug_TIDL_init0: lIdx-188 128 128 128 debug_TIDL_init0: lIdx-189 128 128 1736 debug_TIDL_init0: lIdx-190 128 128 1736 debug_TIDL_init0: lIdx-191 128 128 1736 debug_TIDL_init0: lIdx-192 128 128 128 debug_TIDL_init0: lIdx-193 128 128 128 debug_TIDL_init0: lIdx-194 2504 784 128 debug_TIDL_init0: lIdx-195 164 264 128 debug_TIDL_init0: lIdx-196 128 128 128 debug_TIDL_init0: lIdx-197 2504 784 1712 debug_TIDL_init0: lIdx-198 164 264 128 debug_TIDL_init0: lIdx-199 128 128 128 debug_TIDL_init0: lIdx-200 128 128 128 debug_TIDL_init0: lIdx-201 128 128 128 debug_TIDL_init0: lIdx-202 128 128 128 debug_TIDL_init0: lIdx-203 128 128 1712 debug_TIDL_init0: lIdx-204 128 128 128 debug_TIDL_init0: lIdx-205 128 128 128 debug_TIDL_init0: lIdx-206 128 128 128 debug_TIDL_init0: lIdx-207 128 128 1712 debug_TIDL_init0: lIdx-208 128 128 128 debug_TIDL_init0: lIdx-209 128 128 1712 debug_TIDL_init0: lIdx-210 128 128 152 debug_TIDL_init0: lIdx-211 128 128 1712 debug_TIDL_init0: lIdx-212 128 128 152 debug_TIDL_init0: lIdx-213 128 128 1712 debug_TIDL_init0: lIdx-214 128 128 152 debug_TIDL_init0: lIdx-215 128 128 1712 debug_TIDL_init0: lIdx-216 128 128 152 debug_TIDL_init0: lIdx-217 128 128 128 debug_TIDL_init0: lIdx-218 128 128 128 debug_TIDL_init0: lIdx-219 128 128 128 debug_TIDL_init0: lIdx-220 144128 128 96128 debug_TIDL_init0: lIdx-221 128 128 128 debug_TIDL_init0: lIdx-222 128 128 128 debug_TIDL_init0: lIdx-223 164 128 128 debug_TIDL_init0: lIdx-224 128 128 128 debug_TIDL_init0: lIdx-225 128 128 128 debug_TIDL_init0: lIdx-226 144128 128 128 debug_TIDL_init0: lIdx-227 128 128 128 debug_TIDL_init0: lIdx-228 144128 128 128 debug_TIDL_init0: lIdx-229 128 128 128 debug_TIDL_init0: lIdx-230 128 128 128 debug_TIDL_init0: lIdx-231 164 128 128 debug_TIDL_init0: lIdx-232 128 128 128 debug_TIDL_init0: lIdx-233 128 128 128 debug_TIDL_init0: lIdx-234 144128 128 96128 debug_TIDL_init0: lIdx-237 128 128 128 debug_TIDL_init0: lIdx-238 128 128 128 debug_TIDL_init0: lIdx-239 128 128 128 debug_TIDL_init0: lIdx-240 128 128 96128 debug_TIDL_init0: lIdx-241 128 128 96128 debug_TIDL_init0: lIdx-242 128 128 128 debug_TIDL_init0: lIdx-243 1568 264 128 debug_TIDL_init0: lIdx-244 92288 768 61568 debug_TIDL_init0: lIdx-245 3008 272 128 debug_TIDL_init0: lIdx-246 128 128 128 debug_TIDL_init0: lIdx-247 128 128 128 debug_TIDL_init0: lIdx-248 128 128 128 debug_TIDL_init0: lIdx-249 128 128 128 debug_TIDL_init0: lIdx-250 128 128 2048 debug_TIDL_init0: lIdx-251 128 128 128 debug_TIDL_init0: lIdx-252 128 128 128 debug_TIDL_init0: lIdx-253 128 128 2048 debug_TIDL_init0: lIdx-254 416 320 128 debug_TIDL_init0: lIdx-256 128 128 128 debug_TIDL_init0: lIdx-257 128 128 128 debug_TIDL_init0: lIdx-258 128 128 128 debug_TIDL_init0: lIdx-259 128 128 320 debug_TIDL_init0: lIdx-260 128 128 320 debug_TIDL_init0: lIdx-262 128 128 128 ************ TIDL_subgraphRtCreate done ************ ******* In TIDL_subgraphRtInvoke ******** 0 1.00000 0.00000 1.00000 6 12 1.00000 0.00000 1.00000 6 13 1.00000 0.00000 0.93819 6 14 1.00000 0.00000 0.93819 6 15 1.00000 0.00000 0.67219 6 16 1.00000 -1.61719 1.96721 6 17 1.00000 0.00000 2.42432 6 18 1.00000 0.00000 1.22122 6 19 1.00000 -1.78311 2.00622 6 20 1.00000 0.00000 3.07801 6 21 1.00000 -1.83924 1.41457 6 22 1.00000 0.00000 1.73494 6 23 1.00000 -6.37549 3.42187 6 24 1.00000 0.00000 3.73146 6 25 1.00000 0.00000 2.54082 6 26 1.00000 -6.50051 5.31858 6 27 1.00000 0.00000 6.24390 6 28 1.00000 -2.07672 1.56626 6 29 1.00000 0.00000 3.87898 6 30 1.00000 -11.20481 5.76467 6 31 1.00000 0.00000 6.04468 6 32 1.00000 0.00000 5.43123 6 33 1.00000 -12.11593 9.83501 6 34 1.00000 0.00000 10.24289 6 35 1.00000 -2.35908 2.18817 6 36 1.00000 -9.77310 8.93708 6 37 1.00000 0.00000 7.95309 6 38 1.00000 -74.65942 31.18906 6 39 1.00000 0.00000 31.93826 6 40 1.00000 0.00000 62.41200 6 41 1.00000 -1328.83594 946.17719 6 42 1.00000 0.00000 946.17719 6 43 1.00000 0.00000 5.81276 6 44 1.00000 -3.19425 3.24052 6 1 1.00000 -0.99999 1.00000 6 45 1.00000 -0.99996 5.83927 6 46 1.00000 -3.29916 7.31220 6 47 1.00000 -4.78091 6.76474 6 48 1.00000 -4.35799 3.23186 6 49 1.00000 -3.29916 7.31220 6 50 1.00000 -4.78091 6.76474 6 51 1.00000 -4.35799 3.23186 6 52 1.00000 -3.29916 7.31220 6 53 1.00000 -4.78091 6.76474 6 54 1.00000 -4.35799 3.23186 6 55 1.00000 -3.29916 7.31220 6 56 1.00000 -4.78091 6.76474 6 57 1.00000 -4.35799 3.23186 6 58 1.00000 -4.35799 3.23186 6 59 1.00000 -4.35799 3.23186 6 60 1.00000 -4.35799 3.23186 6 61 1.00000 -4.35799 3.23186 6 62 1.00000 -4.35799 3.23186 6 63 1.00000 -4.35799 3.23186 6 64 1.00000 -4.35799 3.23186 6 65 1.00000 -4.35799 3.23186 6 66 1.00000 -4.35799 3.23186 6 67 1.00000 -38.93083 7.39591 6 68 1.00000 -38.93083 7.39591 6 69 1.00000 -38.93083 7.39591 6 70 1.00000 -38.93083 7.39591 6 71 1.00000 -38.93083 7.39591 6 72 1.00000 -38.93083 7.39591 6 73 1.00000 -38.93083 7.39591 6 74 1.00000 -38.93083 7.39591 6 75 1.00000 -38.93083 7.39591 6 76 1.00000 -38.93083 7.39591 6 77 1.00000 0.00000 0.82678 6 78 1.00000 -2.11647 4.05829 6 79 1.00000 -2.11647 4.05829 6 80 1.00000 -2.11647 4.05829 6 81 1.00000 -2.11647 4.05829 6 82 1.00000 -1.63037 0.85026 6 83 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6 141 1.00000 0.00010 0.98335 6 142 1.00000 -0.98335 -0.00010 6 143 1.00000 -0.98042 0.00000 6 144 1.00000 0.00000 0.10000 6 145 1.00000 0.00000 1.00000 6 146 1.00000 0.00000 0.98335 6 147 1.00000 -3.87164 3.42716 6 148 1.00000 -6.47238 4.85163 6 149 1.00000 -12.21945 11.04519 6 150 1.00000 0.00000 4.71314 6 151 1.00000 0.00000 4.42627 6 152 1.00000 0.00000 4.53446 6 9 1.00000 0.00000 0.99000 6 153 1.00000 0.00000 4.53446 6 154 1.00000 0.00000 4.53446 6 155 1.00000 -4.33975 4.30877 6 In Transpose: perm - 0 1 3 2 4 5, pp - 1 In Transpose: indata width-50 height-20 #ch-134 dim2-1 dim1-1 batch-1 In Transpose: outdata width-50 height-20 #ch-1 dim2-134 dim1-1 batch-1 156 1.00000 -4.33975 4.30877 6 157 1.00000 -4.33975 4.30877 6 158 1.00000 -4.33975 4.30877 6 159 1.00000 -3.97490 4.16372 6 160 1.00000 -4.33975 4.30877 6 161 1.00000 -3.97490 4.16372 6 162 1.00000 -4.33975 4.30877 6 163 1.00000 -3.97490 4.16372 6 164 1.00000 -4.33975 4.30877 6 165 1.00000 -3.97490 4.16372 6 166 1.00000 -4.33975 4.30877 6 167 1.00000 -3.97490 4.16372 6 168 1.00000 -4.33975 4.30877 6 169 1.00000 -3.97490 4.16372 6 170 1.00000 -4.33975 4.30877 6 171 1.00000 -3.97490 4.16372 6 172 1.00000 -4.33975 4.30877 6 173 1.00000 0.00000 0.98335 6 174 1.00000 0.00000 0.98335 6 175 1.00000 0.00000 0.98335 6 ****** in TOPK *********** Inside TopK: index-0, value-0.000780582 Inside TopK: index-1, value-0 Inside TopK: index-2, value-0.000100017 Inside TopK: index-3, value-0.000100017 Inside TopK: index-4, value-0.000100017 Inside TopK: index-5, value-0.000100017 Inside TopK: index-12, value-0.000537395 Inside TopK: index-20, value-0.00699091 Inside TopK: index-49, value-0.00222981 Inside TopK: index-149, value-0.0103909 Inside TopK: index-162, value-0.00292653 Inside TopK: index-225, value-0.00093168 Inside TopK: index-249, value-0.0143731 Inside TopK: index-250, value-0.00128621 Inside TopK: index-259, value-0.00204778 Inside TopK: index-500, value-0.983345 Inside TopK: index-659, value-0.00717902 Inside TopK: index-749, value-0.00603288 Inside TopK: index-953, value-0.981534 Inside TopK: index-984, value-0.925356 debug_TopK_output: k-6, eltType-6 indexes - 500.000000 953.000000 984.000000 249.000000 149.000000 659.000000 values - 0.983345 0.981534 0.925356 0.014373 0.010391 0.007179 176 1.00000 149.00000 984.00000 6 177 1.00000 149.00000 984.00000 6 178 1.00000 149.00000 984.00000 6 180 1.00000 149.00000 984.00000 6 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.031892 0.047860 1.439004 0.107201 0.113230 -0.639439 -1.390929 1.144865 0.153617 0.355060 1.239488 -0.406840 -0.144433 0.029594 0.442160 -0.592280 -1.162784 -0.144998 -0.593081 -0.060581 indices - 500.000000 953.000000 984.000000 249.000000 149.000000 659.000000 0.983345 0.981534 0.925356 0.014373 0.010391 0.007179 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.004475 0.005917 -0.106735 0.260917 0.144994 -0.789256 -1.247814 1.356351 0.075643 -0.546324 0.936169 0.182075 -0.112331 0.098590 0.011408 -0.132649 -0.648244 -0.174250 -0.545457 -0.059796 181 1.00000 -3.81673 3.99173 6 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.011607 0.091742 -0.919051 -2.056625 -0.569802 2.137959 -0.043544 0.224416 -0.303755 -0.335190 1.602327 0.877187 0.261145 1.058929 -0.244173 -0.816514 0.175729 0.037902 1.097016 -0.956107 indices - 500.000000 953.000000 984.000000 249.000000 149.000000 659.000000 0.983345 0.981534 0.925356 0.014373 0.010391 0.007179 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.016898 -0.014653 -0.800541 -2.907652 -1.013877 1.267319 -0.290624 -0.112007 -0.198480 -0.981391 1.979619 -0.010244 0.396062 1.763264 -0.250316 0.068363 0.030317 0.128801 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../../../lucid/model_onnx/6_FNC_SafetyNoEdge_NewForkV1_HwaData_epoch80_PC_opset9_simpified.conv.fixed.IR8_1.onnx ***************Running_Inference Section ********** This is Lucid Model for image ../../../lucid/data_onnx/test_images/img0221.png Type of onnx_op: Value of onnx_op: [array([[[[[[500], [953], [984], [249], [149], [659]]]]]], dtype=int64), array([[[[[[-16.546276 , -9.564495 , -15.682493 , ..., -11.602171 , -7.72858 , -12.496092 ], [-19.819536 , -5.91086 , -10.762236 , ..., -8.457693 , -4.2297087 , -14.12565 ], [-18.017693 , -3.5662131 , -7.269418 , ..., -5.534746 , -3.3857646 , -15.599764 ], ..., [-24.69328 , -3.408468 , -5.162051 , ..., -7.5079966 , -7.8124633 , -17.66439 ], [-21.703787 , -3.1832912 , -4.9581532 , ..., -7.537391 , -6.906645 , -16.791191 ], [-14.61599 , -2.065688 , -3.3794336 , ..., -5.1520247 , -4.423338 , -13.682148 ]], [[-14.924784 , -6.214272 , -7.9029903 , ..., -10.667618 , -8.057724 , -12.208831 ], [-20.102053 , -7.4390635 , -11.41827 , ..., -11.814679 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array([[[[[[ 1.10022 , -5.0525694 , 9.619391 , 9.2986965 , -4.7067266 , -2.3463175 , -5.745944 , -3.9285927 ], [ 1.9154253 , -0.84297675, 3.833423 , 4.623927 , 4.3851748 , 6.3607855 , 5.1369686 , 14.251877 ], [ 2.3279507 , -9.397404 , 17.40426 , 2.0792568 , -3.450791 , -5.062165 , -6.923436 , -7.423526 ], [ 8.426012 , -4.9922013 , 8.885689 , -0.1889121 , -2.385744 , -5.836507 , -5.8796206 , -11.68119 ], [ 6.707611 , -5.463355 , 7.848958 , -0.77960527, -0.82468903, -3.8756964 , -4.7642317 , -9.210419 ], [ 3.3171344 , -4.15709 , 6.844892 , 4.4729238 , 1.7509171 , 1.8430302 , 2.3935213 , 5.8059254 ]]]]]], dtype=float32)] 0, 0, 253, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 254, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 257, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 258, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 259, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 262, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, Sum of Layer Cycles 0 Sub Graph Stats 617.000000 10049317.000000 1238.000000 ******* TIDL_subgraphRtInvoke done ******** ********** Frame Index 1 : Running float inference ********** Graph Domain TO version : 9******* In TIDL_subgraphRtInvoke ******** 0 1.00000 0.00000 1.00000 6 12 1.00000 0.00000 1.00000 6 13 1.00000 0.00000 1.08594 6 14 1.00000 0.00000 1.08594 6 15 1.00000 0.00000 0.67964 6 16 1.00000 -1.70915 2.02182 6 17 1.00000 0.00000 2.47414 6 18 1.00000 0.00000 1.23282 6 19 1.00000 -1.91853 2.15057 6 20 1.00000 0.00000 3.19284 6 21 1.00000 -1.92042 1.67323 6 22 1.00000 0.00000 2.22063 6 23 1.00000 -6.91496 3.52516 6 24 1.00000 0.00000 3.99788 6 25 1.00000 0.00000 3.54521 6 26 1.00000 -6.67245 5.28764 6 27 1.00000 0.00000 5.79163 6 28 1.00000 -2.12311 1.57813 6 29 1.00000 0.00000 4.80337 6 30 1.00000 -13.99006 6.41007 6 31 1.00000 0.00000 6.78098 6 32 1.00000 0.00000 7.37690 6 33 1.00000 -13.86282 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3.55382 6 98 1.00000 -3.42732 4.23100 6 99 1.00000 -3.42732 4.23100 6 100 1.00000 -3.42732 4.23100 6 101 1.00000 -3.42732 4.23100 6 102 1.00000 -3.42732 4.23100 6 103 1.00000 -3.42732 4.23100 6 104 1.00000 -3.42732 4.23100 6 105 1.00000 -3.42732 4.23100 6 106 1.00000 -3.42732 4.23100 6 107 1.00000 -3.42732 4.23100 6 108 1.00000 -27.50623 12.02152 6 109 1.00000 -27.50623 12.02152 6 110 1.00000 -27.50623 12.02152 6 111 1.00000 -27.50623 12.02152 6 112 1.00000 -27.50623 12.02152 6 113 1.00000 -27.50623 12.02152 6 114 1.00000 -27.50623 12.02152 6 115 1.00000 -27.50623 12.02152 6 116 1.00000 -27.50623 12.02152 6 117 1.00000 -27.50623 12.02152 6 118 1.00000 0.00000 0.77902 6 119 1.00000 -3.35688 5.67781 6 120 1.00000 -3.35688 5.67781 6 121 1.00000 -3.35688 5.67781 6 122 1.00000 -3.35688 5.67781 6 123 1.00000 -1.45405 0.85967 6 124 1.00000 -1.91086 5.75523 6 125 1.00000 0.00000 3.57153 6 126 1.00000 -2.68470 2.68152 6 127 1.00000 -2.68470 2.68152 6 128 1.00000 -4.59629 3.98501 6 129 1.00000 -5.35005 4.82424 6 130 1.00000 0.00000 8.24390 6 131 1.00000 -4.58772 4.65713 6 132 1.00000 0.00000 16.90320 6 133 1.00000 -12.42661 3.47063 6 134 1.00000 0.00000 0.96984 6 3 1.00000 -0.00010 -0.00010 6 135 1.00000 0.00000 0.96974 6 4 1.00000 0.00010 0.00010 6 136 1.00000 0.00010 0.96984 6 5 1.00000 -1.00000 -1.00000 6 137 1.00000 -0.96984 -0.00010 6 6 1.00000 0.99990 0.99990 6 138 1.00000 0.03006 0.99980 6 7 1.00000 -1.00000 -1.00000 6 139 1.00000 -0.99980 -0.03006 6 8 1.00000 0.99990 0.99990 6 140 1.00000 0.00010 0.96984 6 141 1.00000 0.00010 0.96984 6 142 1.00000 -0.96984 -0.00010 6 143 1.00000 -0.96631 0.00000 6 144 1.00000 0.00000 0.10000 6 145 1.00000 0.00000 1.00000 6 146 1.00000 0.00000 0.96984 6 147 1.00000 -4.59629 3.98501 6 148 1.00000 -6.87889 4.53765 6 149 1.00000 -12.51527 10.49797 6 150 1.00000 0.00000 4.77872 6 151 1.00000 0.00000 4.64514 6 152 1.00000 0.00000 4.31413 6 9 1.00000 0.00000 0.99000 6 153 1.00000 0.00000 4.31413 6 154 1.00000 0.00000 4.31413 6 155 1.00000 -4.58772 4.65713 6 In Transpose: perm - 0 1 3 2 4 5, pp - 1 In Transpose: indata width-50 height-20 #ch-134 dim2-1 dim1-1 batch-1 In Transpose: outdata width-50 height-20 #ch-1 dim2-134 dim1-1 batch-1 156 1.00000 -4.58772 4.65713 6 157 1.00000 -4.58772 4.65713 6 158 1.00000 -4.58772 4.65713 6 159 1.00000 -4.22531 4.19750 6 160 1.00000 -4.58772 4.65713 6 161 1.00000 -4.22531 4.19750 6 162 1.00000 -4.58772 4.65713 6 163 1.00000 -4.22531 4.19750 6 164 1.00000 -4.58772 4.65713 6 165 1.00000 -4.22531 4.19750 6 166 1.00000 -4.58772 4.65713 6 167 1.00000 -4.22531 4.19750 6 168 1.00000 -4.58772 4.65713 6 169 1.00000 -4.22531 4.19750 6 170 1.00000 -4.58772 4.65713 6 171 1.00000 -4.22531 4.19750 6 172 1.00000 -4.58772 4.65713 6 173 1.00000 0.00000 0.96984 6 174 1.00000 0.00000 0.96984 6 175 1.00000 0.00000 0.96984 6 ****** in TOPK *********** Inside TopK: index-0, value-0 Inside TopK: index-1, value-0 Inside TopK: index-2, value-0 Inside TopK: index-3, value-0 Inside TopK: index-4, value-0 Inside TopK: index-5, value-3.97472e-05 Inside TopK: index-6, value-8.63052e-05 Inside TopK: index-7, value-0.000100017 Inside TopK: index-8, value-0.000100017 Inside TopK: index-9, value-0.000100017 Inside TopK: index-10, value-0.000100017 Inside TopK: index-11, value-0.000100017 Inside TopK: index-12, value-0.000100017 Inside TopK: index-31, value-0.000605762 Inside TopK: index-43, value-0.00941783 Inside TopK: index-49, value-0.00148731 Inside TopK: index-50, value-0.00305021 Inside TopK: index-88, value-0.00357342 Inside TopK: index-129, value-0.00136298 Inside TopK: index-133, value-0.000960767 Inside TopK: index-177, value-0.00273073 Inside TopK: index-222, value-0.00223464 Inside TopK: index-269, value-0.00184536 Inside TopK: index-373, value-0.00252593 Inside TopK: index-402, value-0.00618088 Inside TopK: index-550, value-0.909768 Inside TopK: index-699, value-0.00313967 Inside TopK: index-764, value-0.00785643 Inside TopK: index-961, value-0.969841 Inside TopK: index-993, value-0.957735 debug_TopK_output: k-6, eltType-6 indexes - 961.000000 993.000000 550.000000 43.000000 764.000000 402.000000 values - 0.969841 0.957735 0.909768 0.009418 0.007856 0.006181 176 1.00000 43.00000 993.00000 6 177 1.00000 43.00000 993.00000 6 178 1.00000 43.00000 993.00000 6 180 1.00000 43.00000 993.00000 6 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.027388 0.035941 1.477748 0.056869 0.041943 -0.629220 -1.370167 1.174638 0.111972 0.394343 1.152039 -0.346135 0.000172 0.068605 0.325455 -0.500738 -1.322221 -0.149721 -0.557493 -0.037833 indices - 961.000000 993.000000 550.000000 43.000000 764.000000 402.000000 0.969841 0.957735 0.909768 0.009418 0.007856 0.006181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.011233 -0.001330 -0.375003 0.001432 -0.095116 -0.135073 -0.853865 -0.290453 0.341173 -4.065132 0.760045 -0.271475 0.351812 0.126377 0.266243 1.113472 -0.033535 -1.402595 0.207871 0.993441 181 1.00000 -4.06513 3.18850 6 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.017601 0.073323 -0.882585 -1.857277 -0.486085 2.081720 0.017732 0.105038 -0.297786 -0.402076 1.466407 0.971647 0.424586 1.046139 -0.266407 -0.687857 0.248569 -0.069291 0.998318 -0.938833 indices - 961.000000 993.000000 550.000000 43.000000 764.000000 402.000000 0.969841 0.957735 0.909768 0.009418 0.007856 0.006181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.003952 0.000473 -0.946537 -1.870803 1.409617 1.314132 -0.378024 1.026646 1.501372 0.341163 0.202231 -1.058563 0.545407 2.260476 -0.475036 0.350879 0.075166 -0.520651 -0.904100 -0.154583 182 1.00000 -3.10667 2.46662 6 183 1.00000 -4.06513 3.18850 6 184 1.00000 -3.10667 2.46662 6 185 1.00000 -4.06513 3.18850 6 186 1.00000 -3.10667 2.46662 6 187 1.00000 -4.06513 3.18850 6 188 1.00000 -3.10667 2.46662 6 189 1.00000 -4.06513 3.18850 6 190 1.00000 -3.10667 2.46662 6 191 1.00000 -4.06513 3.18850 6 192 1.00000 -3.10667 2.46662 6 193 1.00000 -4.06513 3.18850 6 194 1.00000 -4.06513 3.18850 6 195 1.00000 0.13438 1.28667 6 196 1.00000 -3.10667 2.46662 6 197 1.00000 -3.10667 2.46662 6 198 1.00000 -1.16587 0.22078 6 199 1.00000 -4.06513 3.18850 6 200 1.00000 0.13438 1.28667 6 201 1.00000 -3.10667 2.46662 6 202 1.00000 -1.16587 0.22078 6 203 1.00000 -4.06513 3.18850 6 204 1.00000 0.13438 1.28667 6 205 1.00000 -3.10667 2.46662 6 206 1.00000 -1.16587 0.22078 6 207 1.00000 -4.06513 3.18850 6 208 1.00000 0.13438 1.28667 6 209 1.00000 -3.10667 2.46662 6 210 1.00000 -1.16587 0.22078 6 211 1.00000 -4.06513 3.18850 6 212 1.00000 0.13438 1.28667 6 213 1.00000 -3.10667 2.46662 6 214 1.00000 -1.16587 0.22078 6 215 1.00000 -4.06513 3.18850 6 216 1.00000 0.13438 1.28667 6 217 1.00000 -3.10667 2.46662 6 218 1.00000 -1.16587 0.22078 6 219 1.00000 -4.06513 3.18850 6 220 1.00000 -16.63919 16.09846 6 221 1.00000 -16.63919 16.09846 6 222 1.00000 0.13438 1.28667 6 10 1.00000 -2.19000 -2.19000 6 223 1.00000 -2.05562 -0.90333 6 224 1.00000 -2.05562 -0.90333 6 225 1.00000 -2.05562 -0.90333 6 226 1.00000 -17.75565 14.84675 6 227 1.00000 -3.10667 2.46662 6 228 1.00000 -29.27946 19.36732 6 229 1.00000 -29.27946 19.36732 6 230 1.00000 -1.16587 0.22078 6 11 1.00000 -2.19000 -2.19000 6 231 1.00000 -3.35587 -1.96922 6 232 1.00000 -3.35587 -1.96922 6 233 1.00000 -3.35587 -1.96922 6 234 1.00000 -32.63533 17.37921 6 237 1.00000 -32.63533 17.37921 6 238 1.00000 -17.75565 14.84675 6 239 1.00000 -32.63533 17.37921 6 240 1.00000 -32.63533 17.37921 6 241 1.00000 -32.63533 17.37921 6 242 1.00000 -32.63533 17.37921 6 243 1.00000 0.00000 57.56242 6 244 1.00000 0.00000 43.57503 6 245 1.00000 -8.62408 10.57079 6 246 1.00000 0.00000 57.56242 6 247 1.00000 -8.62408 10.57079 6 248 1.00000 -8.62408 10.57079 6 249 1.00000 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[-2.72064805e+00, 4.46130466e+00], [-2.73719192e+00, 4.35109472e+00], [-2.19359994e+00, 4.95053053e+00], [-2.15355730e+00, 5.11962938e+00], [-2.57720208e+00, 5.45777130e+00], [-2.64290261e+00, 6.05384779e+00], [-1.40683985e+00, 6.58001614e+00], [ 1.00853093e-01, 7.81391907e+00], [ 1.82601333e+00, 8.89214516e+00], [ 2.33450675e+00, 8.69091225e+00], [ 9.81082678e-01, 7.76750231e+00], [-2.44256467e-01, 6.31158924e+00], [-9.94214654e-01, 5.47677135e+00], [-7.34398305e-01, 5.31922388e+00], [-1.49914548e-02, 4.88335371e+00], [ 4.63231039e+00, 2.48705924e-01], [ 7.76315928e+00, -2.37506938e+00], [ 7.75602150e+00, -2.27102566e+00], [ 7.66209650e+00, -2.52743220e+00], [ 7.64755344e+00, -2.82288694e+00], [ 7.68303299e+00, -3.02090335e+00], [ 7.87821627e+00, -3.05979538e+00], [ 7.91652203e+00, -3.12191939e+00], [ 8.13031864e+00, -3.45479321e+00], [ 7.91309881e+00, -3.43739080e+00], [ 7.90798092e+00, -3.40116310e+00], [ 7.94541979e+00, -3.28145742e+00], [ 8.31413555e+00, -3.67560148e+00], [ 8.80862617e+00, -3.86326146e+00], [ 8.17121506e+00, -3.27689528e+00], [ 1.03390741e+01, -1.57670259e+00], [ 8.92097092e+00, -1.97310007e+00]], [[ 8.18439198e+00, 3.24758679e-01], [ 5.60140276e+00, -7.74654150e-01], [ 5.69020319e+00, 2.24221155e-01], [ 3.43298888e+00, -4.66357917e-01], [ 3.14352798e+00, -6.79465413e-01], [ 2.37423086e+00, -1.27270377e+00], [ 2.56681490e+00, -1.44646859e+00], [ 2.71656275e+00, -1.18387949e+00], [ 2.76897526e+00, -1.00266063e+00], [ 2.73612475e+00, -9.57928598e-01], [ 3.07643676e+00, -1.38327503e+00], [ 3.27464747e+00, -1.20681512e+00], [ 3.82323742e+00, -8.65405798e-01], [ 4.82773829e+00, -1.32198358e+00], [ 5.78038216e+00, -1.41836226e+00], [ 5.93485975e+00, -1.87892020e+00], [ 5.59594059e+00, -2.16176772e+00], [ 5.57963657e+00, -2.32880783e+00], [ 6.08655214e+00, -2.29224133e+00], [ 6.35945940e+00, -2.41499162e+00], [ 6.16807318e+00, -2.28239989e+00], [ 6.26675177e+00, -2.42331123e+00], [ 6.55309248e+00, -2.61164474e+00], [ 6.87868309e+00, -2.81066537e+00], [ 6.86453724e+00, -3.00933361e+00], [ 7.07625008e+00, -3.18026972e+00], [ 6.99673605e+00, -3.26465845e+00], [ 6.96097231e+00, -3.44774652e+00], [ 7.21508312e+00, -3.40425682e+00], [ 7.14862728e+00, -3.39189291e+00], [ 7.13707876e+00, -3.27315283e+00], [ 7.06951666e+00, -3.25957751e+00], [ 6.94226646e+00, -3.10614920e+00], [ 6.95116043e+00, -3.08267045e+00], [ 6.58359241e+00, -3.00794935e+00], [ 6.88793945e+00, -3.12609386e+00], [ 7.77383423e+00, -3.31644011e+00], [ 6.41555929e+00, -2.93291950e+00], [ 7.00610161e+00, -3.02119088e+00], [ 6.68767643e+00, -3.16367602e+00]], [[ 7.28552580e+00, 1.28070962e+00], [ 5.58691359e+00, 1.54098058e+00], [ 2.09408069e+00, -8.27980787e-02], [ 5.42661667e-01, 1.26684323e-01], [ 1.19225490e+00, 1.09301901e+00], [ 9.27988470e-01, 1.99554420e+00], [ 3.48854721e-01, 1.85640764e+00], [-8.28085601e-01, 1.17070508e+00], [-1.86572814e+00, 3.88070047e-02], [-2.43662763e+00, -4.11426842e-01], [-2.40048218e+00, -3.38098407e-03], [-1.89582920e+00, -1.01689935e-01], [-7.61572182e-01, -1.09826833e-01], [-4.29025531e-01, 7.65352070e-01], [ 2.08922416e-01, 1.37731957e+00], [ 1.29348159e+00, 2.02870727e+00], [ 1.80880046e+00, 2.28435135e+00], [ 1.30501497e+00, 2.04192543e+00], [ 7.22714365e-01, 1.91812015e+00], [ 4.28095669e-01, 1.84852767e+00], [ 1.91972256e-01, 1.76447582e+00], [ 2.74921060e-01, 2.23491168e+00], [ 7.64695406e-01, 2.35688162e+00], [ 1.13760936e+00, 2.19928718e+00], [ 1.01391768e+00, 1.90675271e+00], [ 6.80675745e-01, 1.90080535e+00], [ 8.46607983e-01, 1.59353030e+00], [ 1.16212034e+00, 1.55527949e+00], [ 1.22646701e+00, 1.38552392e+00], [ 1.35098028e+00, 1.34976268e+00], [ 1.37701285e+00, 1.46734023e+00], [ 1.48159742e+00, 1.28237033e+00], [ 1.76731026e+00, 1.76886022e+00], [ 1.89557886e+00, 2.28398204e+00], [ 2.17870712e+00, 2.52038670e+00], [ 2.33063436e+00, 2.61663747e+00], [ 2.41874146e+00, 2.44669747e+00], [ 3.04108167e+00, 2.13288784e+00], [ 3.68463206e+00, 1.52356791e+00], [ 3.93789363e+00, 2.53988218e+00]], [[ 6.29785061e+00, 2.53645420e+00], [ 2.97363758e+00, 6.80694938e-01], [ 1.39240885e+00, 8.66967797e-01], [ 6.03837490e-01, 1.36633253e+00], [ 1.32176292e+00, 1.78487039e+00], [-3.42249990e-01, 1.91538751e+00], [-3.76539516e+00, 9.41672921e-01], [-3.38608289e+00, 2.68174005e+00], [-2.35947418e+00, 3.77996969e+00], [-2.18117094e+00, 3.50462389e+00], [-1.42390800e+00, 4.10625935e+00], [-1.29177225e+00, 4.23428249e+00], [-1.69394219e+00, 4.54062986e+00], [-1.67073560e+00, 5.07975769e+00], [-3.30586314e-01, 5.70199680e+00], [ 1.21195173e+00, 6.73839426e+00], [ 3.03788185e+00, 7.58182955e+00], [ 3.37411451e+00, 7.28678226e+00], [ 1.78394651e+00, 6.19839334e+00], [ 6.50379539e-01, 4.67447186e+00], [ 3.75952385e-02, 3.79953432e+00], [ 3.37497830e-01, 4.13796329e+00], [ 1.26655471e+00, 3.52093029e+00], [ 6.21395302e+00, -1.27972889e+00], [ 8.09216499e+00, -2.87956262e+00], [ 8.06899166e+00, -2.69299841e+00], [ 7.98499680e+00, -2.95295835e+00], [ 8.02001190e+00, -3.27571774e+00], [ 8.14152527e+00, -3.49588990e+00], [ 8.29693317e+00, -3.55848742e+00], [ 8.36382866e+00, -3.55517507e+00], [ 8.43970108e+00, -3.80784893e+00], [ 8.34252071e+00, -3.82429075e+00], [ 8.42599201e+00, -3.79707289e+00], [ 8.62005043e+00, -3.75085926e+00], [ 8.84756756e+00, -3.92203307e+00], [ 9.39880085e+00, -4.09325027e+00], [ 8.45835590e+00, -3.38790202e+00], [ 1.05707941e+01, -1.77657354e+00], [ 8.77018642e+00, -2.22719908e+00]]]]]], dtype=float32), array([[[[[[ -0.94246405, -2.9871316 , -2.9577236 , 5.174295 , 4.4781256 , 16.011696 , -10.182389 , 5.6983156 ], [ 0.6752398 , -10.410225 , 14.0679455 , 3.1997004 , -2.1699665 , 1.1427886 , -12.642204 , -6.7128778 ], [ 2.9638362 , -7.6437607 , 11.934345 , 4.610185 , -6.070358 , -2.6494622 , -9.011738 , -9.296354 ], [ 4.975004 , -9.944915 , 12.052798 , -0.93413204, -5.1060767 , -5.896641 , -9.335001 , -14.65393 ], [ -0.3173302 , -7.7494493 , 2.397294 , 2.9029033 , 3.5577352 , 12.063794 , -10.144499 , -0.14774573], [ 3.9354053 , -6.4078474 , 11.841366 , 4.930297 , -7.9188232 , -3.0665843 , -9.854942 , -9.380392 ]]]]]], dtype=float32)] 0, 0, 253, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 254, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 257, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 258, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 259, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 262, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, Sum of Layer Cycles 0 Sub Graph Stats 237.000000 10050686.000000 1286.000000 ******* TIDL_subgraphRtInvoke done ******** ********** Frame Index 2 : Running float inference ********** Graph Domain TO version : 9******* In TIDL_subgraphRtInvoke ******** 0 1.00000 0.00000 1.00000 6 12 1.00000 0.00000 1.00000 6 13 1.00000 0.00000 0.92256 6 14 1.00000 0.00000 0.92256 6 15 1.00000 0.00000 0.68258 6 16 1.00000 -1.61600 2.02735 6 17 1.00000 0.00000 2.47907 6 18 1.00000 0.00000 1.21477 6 19 1.00000 -1.99066 2.15828 6 20 1.00000 0.00000 2.93869 6 21 1.00000 -1.61467 1.35443 6 22 1.00000 0.00000 1.88040 6 23 1.00000 -6.38037 3.98819 6 24 1.00000 0.00000 4.11070 6 25 1.00000 0.00000 3.28966 6 26 1.00000 -7.13017 6.50971 6 27 1.00000 0.00000 6.84784 6 28 1.00000 -2.74268 1.56674 6 29 1.00000 0.00000 5.81895 6 30 1.00000 -14.70219 7.08142 6 31 1.00000 0.00000 7.10297 6 32 1.00000 0.00000 6.99753 6 33 1.00000 -16.44808 8.89491 6 34 1.00000 0.00000 8.89491 6 35 1.00000 -2.76994 2.69272 6 36 1.00000 -13.83402 8.03743 6 37 1.00000 0.00000 9.77327 6 38 1.00000 -88.05355 40.92447 6 39 1.00000 0.00000 41.54440 6 40 1.00000 0.00000 53.69049 6 41 1.00000 -1369.93921 866.18268 6 42 1.00000 0.00000 866.18268 6 43 1.00000 0.00000 5.90778 6 44 1.00000 -3.34509 3.14964 6 1 1.00000 -0.99999 1.00000 6 45 1.00000 -0.99996 6.65796 6 46 1.00000 -3.48607 5.97608 6 47 1.00000 -4.28894 5.35295 6 48 1.00000 -3.78774 2.98917 6 49 1.00000 -3.48607 5.97608 6 50 1.00000 -4.28894 5.35295 6 51 1.00000 -3.78774 2.98917 6 52 1.00000 -3.48607 5.97608 6 53 1.00000 -4.28894 5.35295 6 54 1.00000 -3.78774 2.98917 6 55 1.00000 -3.48607 5.97608 6 56 1.00000 -4.28894 5.35295 6 57 1.00000 -3.78774 2.98917 6 58 1.00000 -3.78774 2.98917 6 59 1.00000 -3.78774 2.98917 6 60 1.00000 -3.78774 2.98917 6 61 1.00000 -3.78774 2.98917 6 62 1.00000 -3.78774 2.98917 6 63 1.00000 -3.78774 2.98917 6 64 1.00000 -3.78774 2.98917 6 65 1.00000 -3.78774 2.98917 6 66 1.00000 -3.78774 2.98917 6 67 1.00000 -26.08175 5.52560 6 68 1.00000 -26.08175 5.52560 6 69 1.00000 -26.08175 5.52560 6 70 1.00000 -26.08175 5.52560 6 71 1.00000 -26.08175 5.52560 6 72 1.00000 -26.08175 5.52560 6 73 1.00000 -26.08175 5.52560 6 74 1.00000 -26.08175 5.52560 6 75 1.00000 -26.08175 5.52560 6 76 1.00000 -26.08175 5.52560 6 77 1.00000 0.00000 0.60908 6 78 1.00000 -2.52968 4.96633 6 79 1.00000 -2.52968 4.96633 6 80 1.00000 -2.52968 4.96633 6 81 1.00000 -2.52968 4.96633 6 82 1.00000 -1.99516 1.01627 6 83 1.00000 -2.06541 6.28216 6 84 1.00000 0.00000 6.07698 6 85 1.00000 0.00000 5.13654 6 2 1.00000 -0.99999 1.00000 6 86 1.00000 -0.99999 6.13653 6 87 1.00000 -5.46613 7.34550 6 88 1.00000 -5.26040 3.72011 6 89 1.00000 -3.41839 4.71655 6 90 1.00000 -5.46613 7.34550 6 91 1.00000 -5.26040 3.72011 6 92 1.00000 -3.41839 4.71655 6 93 1.00000 -5.46613 7.34550 6 94 1.00000 -5.26040 3.72011 6 95 1.00000 -3.41839 4.71655 6 96 1.00000 -5.46613 7.34550 6 97 1.00000 -5.26040 3.72011 6 98 1.00000 -3.41839 4.71655 6 99 1.00000 -3.41839 4.71655 6 100 1.00000 -3.41839 4.71655 6 101 1.00000 -3.41839 4.71655 6 102 1.00000 -3.41839 4.71655 6 103 1.00000 -3.41839 4.71655 6 104 1.00000 -3.41839 4.71655 6 105 1.00000 -3.41839 4.71655 6 106 1.00000 -3.41839 4.71655 6 107 1.00000 -3.41839 4.71655 6 108 1.00000 -33.51022 15.77821 6 109 1.00000 -33.51022 15.77821 6 110 1.00000 -33.51022 15.77821 6 111 1.00000 -33.51022 15.77821 6 112 1.00000 -33.51022 15.77821 6 113 1.00000 -33.51022 15.77821 6 114 1.00000 -33.51022 15.77821 6 115 1.00000 -33.51022 15.77821 6 116 1.00000 -33.51022 15.77821 6 117 1.00000 -33.51022 15.77821 6 118 1.00000 0.00000 0.91256 6 119 1.00000 -3.56255 7.00344 6 120 1.00000 -3.56255 7.00344 6 121 1.00000 -3.56255 7.00344 6 122 1.00000 -3.56255 7.00344 6 123 1.00000 -1.79353 0.91234 6 124 1.00000 -2.21732 5.48413 6 125 1.00000 0.00000 4.66173 6 126 1.00000 -2.87255 3.36746 6 127 1.00000 -2.87255 3.36746 6 128 1.00000 -4.24654 4.30048 6 129 1.00000 -5.39507 4.72790 6 130 1.00000 0.00000 9.20933 6 131 1.00000 -4.68395 4.88042 6 132 1.00000 0.00000 19.10133 6 133 1.00000 -15.47406 5.03881 6 134 1.00000 0.00000 0.99356 6 3 1.00000 -0.00010 -0.00010 6 135 1.00000 0.00000 0.99346 6 4 1.00000 0.00010 0.00010 6 136 1.00000 0.00010 0.99356 6 5 1.00000 -1.00000 -1.00000 6 137 1.00000 -0.99356 -0.00010 6 6 1.00000 0.99990 0.99990 6 138 1.00000 0.00634 0.99980 6 7 1.00000 -1.00000 -1.00000 6 139 1.00000 -0.99980 -0.00634 6 8 1.00000 0.99990 0.99990 6 140 1.00000 0.00010 0.99356 6 141 1.00000 0.00010 0.99356 6 142 1.00000 -0.99356 -0.00010 6 143 1.00000 -0.98092 0.00000 6 144 1.00000 0.00000 0.10000 6 145 1.00000 0.00000 1.00000 6 146 1.00000 0.00000 0.99356 6 147 1.00000 -4.24654 4.30048 6 148 1.00000 -5.82096 5.56081 6 149 1.00000 -14.12290 12.05998 6 150 1.00000 0.00000 4.66805 6 151 1.00000 0.00000 4.93386 6 152 1.00000 0.00000 5.15351 6 9 1.00000 0.00000 0.99000 6 153 1.00000 0.00000 5.15351 6 154 1.00000 0.00000 5.15351 6 155 1.00000 -4.68395 4.88042 6 In Transpose: perm - 0 1 3 2 4 5, pp - 1 In Transpose: indata width-50 height-20 #ch-134 dim2-1 dim1-1 batch-1 In Transpose: outdata width-50 height-20 #ch-1 dim2-134 dim1-1 batch-1 156 1.00000 -4.68395 4.88042 6 157 1.00000 -4.68395 4.88042 6 158 1.00000 -4.68395 4.88042 6 159 1.00000 -4.02118 4.60765 6 160 1.00000 -4.68395 4.88042 6 161 1.00000 -4.02118 4.60765 6 162 1.00000 -4.68395 4.88042 6 163 1.00000 -4.02118 4.60765 6 164 1.00000 -4.68395 4.88042 6 165 1.00000 -4.02118 4.60765 6 166 1.00000 -4.68395 4.88042 6 167 1.00000 -4.02118 4.60765 6 168 1.00000 -4.68395 4.88042 6 169 1.00000 -4.02118 4.60765 6 170 1.00000 -4.68395 4.88042 6 171 1.00000 -4.02118 4.60765 6 172 1.00000 -4.68395 4.88042 6 173 1.00000 0.00000 0.99356 6 174 1.00000 0.00000 0.99356 6 175 1.00000 0.00000 0.99356 6 ****** in TOPK *********** Inside TopK: index-0, value-0.00195462 Inside TopK: index-1, value-0 Inside TopK: index-2, value-0 Inside TopK: index-3, value-0 Inside TopK: index-4, value-0 Inside TopK: index-5, value-0 Inside TopK: index-16, value-0.00864631 Inside TopK: index-18, value-0.0094437 Inside TopK: index-24, value-0.018661 Inside TopK: index-34, value-0.000100017 Inside TopK: index-35, value-0.000100017 Inside TopK: index-49, value-0.000478446 Inside TopK: index-100, value-0.00232929 Inside TopK: index-126, value-0.00187123 Inside TopK: index-178, value-0.00236243 Inside TopK: index-549, value-0.00389844 Inside TopK: index-550, value-0.99356 Inside TopK: index-649, value-0.00307077 Inside TopK: index-664, value-0.00649941 Inside TopK: index-960, value-0.979808 Inside TopK: index-992, value-0.967558 debug_TopK_output: k-6, eltType-6 indexes - 550.000000 960.000000 992.000000 24.000000 18.000000 16.000000 values - 0.993560 0.979808 0.967558 0.018661 0.009444 0.008646 176 1.00000 16.00000 992.00000 6 177 1.00000 16.00000 992.00000 6 178 1.00000 16.00000 992.00000 6 180 1.00000 16.00000 992.00000 6 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.031948 0.037815 1.308619 0.125670 -0.000647 -0.654075 -1.283150 1.130231 0.136488 0.296449 1.097982 -0.383424 -0.118117 0.067631 0.317338 -0.527184 -1.019342 -0.193135 -0.640185 0.000517 indices - 550.000000 960.000000 992.000000 24.000000 18.000000 16.000000 0.993560 0.979808 0.967558 0.018661 0.009444 0.008646 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.010811 0.013416 -0.176871 0.240909 0.151008 -0.756532 -1.231691 1.326687 0.075975 -0.502604 0.965775 0.210028 -0.109082 0.069606 -0.006121 -0.083822 -0.622038 -0.190782 -0.566617 -0.057483 181 1.00000 -3.88547 3.55505 6 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.030646 0.082026 -0.911185 -1.998352 -0.422472 1.827432 0.007884 0.178706 -0.187662 -0.483310 1.632383 0.736748 0.202515 1.090452 -0.311785 -0.676272 0.133058 0.008367 1.118364 -0.788235 indices - 550.000000 960.000000 992.000000 24.000000 18.000000 16.000000 0.993560 0.979808 0.967558 0.018661 0.009444 0.008646 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.011290 -0.029020 -0.781092 -3.062045 -1.073351 1.339958 -0.296826 -0.056019 -0.224685 -1.041634 1.986507 -0.023493 0.386649 1.765773 -0.221075 0.077379 -0.007610 0.174908 1.078032 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 262, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, Sum of Layer Cycles 0 Sub Graph Stats 349.000000 10121735.000000 1706.000000 ******* TIDL_subgraphRtInvoke done ******** ********** Frame Index 3 : Running fixed point mode for calibration ********** In TIDL_runtimesPostProcessNet In TIDL_runtimesPostProcessNet 1 In TIDL_runtimesPostProcessNet 2 In TIDL_runtimesPostProcessNet 3 Empty prototxt path, running calibration ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ tidl_import_core.cpp 654 cd /home/deepanshu/EdgeAI/edgeai-tidl-tools/tidl_tools && ./PC_dsp_test_dl_algo.out s:/home/deepanshu/EdgeAI/edgeai-tidl-tools/model-artifacts/fnc_safety_fp32/tempDir/501regscls_logitsfeat_range_tidl_io_.qunat_stats_config.txt Processing config file #0 : /home/deepanshu/EdgeAI/edgeai-tidl-tools/model-artifacts/fnc_safety_fp32/tempDir/501regscls_logitsfeat_range_tidl_io_.qunat_stats_config.txt debug_TIDL_alloc: inside TIDL_alloc debug_TIDL_alloc0: status-0, ok-0 fail--1 debug_TIDL_alloc0: lIdx-1 mem-0 64128 0 lT-39 debug_TIDL_alloc0: lIdx-2 mem-0 64128 0 lT-39 debug_TIDL_alloc0: lIdx-3 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-4 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-5 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-6 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-7 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-8 mem-0 4128 0 lT-39 debug_TIDL_alloc0: lIdx-9 mem-0 32128 0 lT-39 debug_TIDL_alloc0: lIdx-10 mem-0 152 0 lT-39 debug_TIDL_alloc0: lIdx-11 mem-0 152 0 lT-39 debug_TIDL_alloc0: lIdx-12 mem-128 128 3151100 lT-29 debug_TIDL_alloc0: lIdx-13 mem-25099520 768 16733056 lT-1 debug_TIDL_alloc0: lIdx-14 mem-6406400 128 4270976 lT-2 debug_TIDL_alloc0: lIdx-15 mem-6406400 768 4270976 lT-1 debug_TIDL_alloc0: lIdx-16 mem-6144128 768 4096128 lT-1 debug_TIDL_alloc0: lIdx-17 mem-6406400 128 128 lT-5 debug_TIDL_alloc0: lIdx-18 mem-6406400 768 128 lT-1 debug_TIDL_alloc0: lIdx-19 mem-6144128 768 128 lT-1 debug_TIDL_alloc0: lIdx-20 mem-6406400 128 128 lT-5 debug_TIDL_alloc0: lIdx-21 mem-3072128 1280 2048128 lT-1 debug_TIDL_alloc0: lIdx-22 mem-3335552 1280 2223744 lT-1 debug_TIDL_alloc0: lIdx-23 mem-3072128 1280 2048128 lT-1 debug_TIDL_alloc0: lIdx-24 mem-3335552 128 128 lT-5 debug_TIDL_alloc0: lIdx-25 mem-3335552 1280 2223744 lT-1 debug_TIDL_alloc0: lIdx-26 mem-3072128 1280 128 lT-1 debug_TIDL_alloc0: lIdx-27 mem-3335552 128 128 lT-5 debug_TIDL_alloc0: lIdx-28 mem-1536128 2304 1024128 lT-1 debug_TIDL_alloc0: lIdx-29 mem-1801856 2304 1201280 lT-1 debug_TIDL_alloc0: lIdx-30 mem-1536128 2304 1024128 lT-1 debug_TIDL_alloc0: lIdx-31 mem-1801856 128 128 lT-5 debug_TIDL_alloc0: lIdx-32 mem-1801856 2304 1201280 lT-1 debug_TIDL_alloc0: lIdx-33 mem-1536128 2304 128 lT-1 debug_TIDL_alloc0: lIdx-34 mem-1801856 128 128 lT-5 debug_TIDL_alloc0: lIdx-35 mem-384128 768 128 lT-1 debug_TIDL_alloc0: lIdx-36 mem-768128 4352 512128 lT-1 debug_TIDL_alloc0: lIdx-37 mem-1038464 4352 692352 lT-1 debug_TIDL_alloc0: lIdx-38 mem-768128 4352 512128 lT-1 debug_TIDL_alloc0: lIdx-39 mem-1038464 128 128 lT-5 debug_TIDL_alloc0: lIdx-40 mem-1038464 4352 692352 lT-1 debug_TIDL_alloc0: lIdx-41 mem-768128 4352 128 lT-1 debug_TIDL_alloc0: lIdx-42 mem-1038464 128 128 lT-5 debug_TIDL_alloc0: lIdx-43 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-44 mem-1536128 768 128 lT-1 debug_TIDL_alloc0: lIdx-45 mem-96128 128 128 lT-5 debug_TIDL_alloc0: lIdx-46 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-47 mem-24128 384 16128 lT-1 debug_TIDL_alloc0: lIdx-48 mem-24128 384 16128 lT-1 debug_TIDL_alloc0: lIdx-49 mem-128 128 64128 lT-29 debug_TIDL_alloc0: lIdx-50 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-51 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-52 mem-128 128 64128 lT-38 debug_TIDL_alloc0: lIdx-53 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-54 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-55 mem-128 128 64128 lT-29 debug_TIDL_alloc0: lIdx-56 mem-128 128 16128 lT-29 debug_TIDL_alloc0: lIdx-57 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-58 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-59 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-60 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-61 mem-128 128 16128 lT-29 debug_TIDL_alloc0: lIdx-62 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-63 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-64 mem-128 128 16128 lT-38 debug_TIDL_alloc0: lIdx-65 mem-128 128 16128 lT-29 debug_TIDL_alloc0: lIdx-66 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-67 mem-375128 256 250128 lT-6 debug_TIDL_alloc0: lIdx-68 mem-128 128 250128 lT-29 debug_TIDL_alloc0: lIdx-69 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-70 mem-128 128 250128 lT-38 debug_TIDL_alloc0: lIdx-71 mem-128 128 250128 lT-29 debug_TIDL_alloc0: lIdx-72 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-73 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-74 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-75 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-76 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-77 mem-128 128 128 lT-7 debug_TIDL_alloc0: lIdx-78 mem-96128 256 128 lT-6 debug_TIDL_alloc0: lIdx-79 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-80 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-81 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-82 mem-96128 1280 128 lT-8 debug_TIDL_alloc0: lIdx-83 mem-129920 128 128 lT-5 debug_TIDL_alloc0: lIdx-84 mem-129920 768 128 lT-1 debug_TIDL_alloc0: lIdx-85 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-86 mem-96128 128 128 lT-5 debug_TIDL_alloc0: lIdx-87 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-88 mem-24128 384 128 lT-1 debug_TIDL_alloc0: lIdx-89 mem-24128 384 128 lT-1 debug_TIDL_alloc0: lIdx-90 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-91 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-92 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-93 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-94 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-95 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-96 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-97 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-98 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-99 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-100 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-101 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-102 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-103 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-104 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-105 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-106 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-107 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-108 mem-375128 256 128 lT-6 debug_TIDL_alloc0: lIdx-109 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-110 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-111 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-112 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-113 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-114 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-115 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-116 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-117 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-118 mem-128 128 128 lT-7 debug_TIDL_alloc0: lIdx-119 mem-96128 256 128 lT-6 debug_TIDL_alloc0: lIdx-120 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-121 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-122 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-123 mem-96128 1280 128 lT-8 debug_TIDL_alloc0: lIdx-124 mem-129920 128 128 lT-5 debug_TIDL_alloc0: lIdx-125 mem-96128 768 128 lT-1 debug_TIDL_alloc0: lIdx-126 mem-129920 768 128 lT-1 debug_TIDL_alloc0: lIdx-127 mem-128 128 128 lT-21 debug_TIDL_alloc0: lIdx-128 mem-450560 128 128 lT-5 debug_TIDL_alloc0: lIdx-129 mem-450560 768 128 lT-1 debug_TIDL_alloc0: lIdx-130 mem-384128 768 128 lT-1 debug_TIDL_alloc0: lIdx-131 mem-804128 1328 128 lT-1 debug_TIDL_alloc0: lIdx-132 mem-384128 768 128 lT-1 debug_TIDL_alloc0: lIdx-133 mem-6128 264 4128 lT-1 debug_TIDL_alloc0: lIdx-134 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-135 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-136 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-137 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-138 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-139 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-140 mem-7166 128 128 lT-5 debug_TIDL_alloc0: lIdx-141 mem-6128 128 128 lT-2 debug_TIDL_alloc0: lIdx-142 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-143 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-144 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-145 mem-6128 524 128 lT-8 debug_TIDL_alloc0: lIdx-146 mem-6128 128 128 lT-5 debug_TIDL_alloc0: lIdx-147 mem-128 128 128 lT-21 debug_TIDL_alloc0: lIdx-148 mem-1667840 128 128 lT-5 debug_TIDL_alloc0: lIdx-149 mem-1667840 768 128 lT-1 debug_TIDL_alloc0: lIdx-150 mem-1667840 768 128 lT-1 debug_TIDL_alloc0: lIdx-151 mem-1667840 768 128 lT-1 debug_TIDL_alloc0: lIdx-152 mem-1536128 768 128 lT-1 debug_TIDL_alloc0: lIdx-153 mem-4224128 128 128 lT-12 debug_TIDL_alloc0: lIdx-154 mem-128 128 1056128 lT-38 debug_TIDL_alloc0: lIdx-155 mem-128 128 536128 lT-29 debug_TIDL_alloc0: lIdx-156 mem-128 128 128 lT-41 debug_TIDL_alloc0: lIdx-157 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-158 mem-128 128 536128 lT-38 debug_TIDL_alloc0: lIdx-159 mem-402128 792 268128 lT-1 debug_TIDL_alloc0: lIdx-160 mem-402128 792 268128 lT-1 debug_TIDL_alloc0: lIdx-161 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-162 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-163 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-164 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-165 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-166 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-167 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-168 mem-128 128 268128 lT-38 debug_TIDL_alloc0: lIdx-169 mem-128 128 268128 lT-29 debug_TIDL_alloc0: lIdx-170 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-171 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-172 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-173 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-174 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-175 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-176 mem-128 65920 152 lT-43 debug_TIDL_alloc0: lIdx-177 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-178 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-180 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-181 mem-128 128 1736 lT-40 debug_TIDL_alloc0: lIdx-182 mem-128 128 1736 lT-40 debug_TIDL_alloc0: lIdx-183 mem-128 128 1736 lT-29 debug_TIDL_alloc0: lIdx-184 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-185 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-186 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-187 mem-128 128 1736 lT-29 debug_TIDL_alloc0: lIdx-188 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-189 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-190 mem-128 128 1736 lT-38 debug_TIDL_alloc0: lIdx-191 mem-128 128 1736 lT-29 debug_TIDL_alloc0: lIdx-192 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-193 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-194 mem-2504 784 128 lT-1 debug_TIDL_alloc0: lIdx-195 mem-164 264 128 lT-1 debug_TIDL_alloc0: lIdx-196 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-197 mem-2504 784 1712 lT-1 debug_TIDL_alloc0: lIdx-198 mem-164 264 128 lT-1 debug_TIDL_alloc0: lIdx-199 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-200 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-201 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-202 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-203 mem-128 128 1712 lT-29 debug_TIDL_alloc0: lIdx-204 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-205 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-206 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-207 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-208 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-209 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-210 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-211 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-212 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-213 mem-128 128 1712 lT-38 debug_TIDL_alloc0: lIdx-214 mem-128 128 152 lT-38 debug_TIDL_alloc0: lIdx-215 mem-128 128 1712 lT-29 debug_TIDL_alloc0: lIdx-216 mem-128 128 152 lT-29 debug_TIDL_alloc0: lIdx-217 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-218 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-219 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-220 mem-144128 256 96128 lT-6 debug_TIDL_alloc0: lIdx-221 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-222 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-223 mem-164 128 128 lT-5 debug_TIDL_alloc0: lIdx-224 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-225 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-226 mem-144128 128 128 lT-5 debug_TIDL_alloc0: lIdx-227 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-228 mem-144128 256 128 lT-6 debug_TIDL_alloc0: lIdx-229 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-230 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-231 mem-164 128 128 lT-5 debug_TIDL_alloc0: lIdx-232 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-233 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-234 mem-144128 128 96128 lT-5 debug_TIDL_alloc0: lIdx-237 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-238 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-239 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-240 mem-128 128 96128 lT-38 debug_TIDL_alloc0: lIdx-241 mem-128 128 96128 lT-29 debug_TIDL_alloc0: lIdx-242 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-243 mem-1568 264 128 lT-1 debug_TIDL_alloc0: lIdx-244 mem-92288 768 61568 lT-1 debug_TIDL_alloc0: lIdx-245 mem-3008 272 128 lT-1 debug_TIDL_alloc0: lIdx-246 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-247 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-248 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-249 mem-128 128 128 lT-38 debug_TIDL_alloc0: lIdx-250 mem-128 128 2048 lT-38 debug_TIDL_alloc0: lIdx-251 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-252 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-253 mem-128 128 2048 lT-29 debug_TIDL_alloc0: lIdx-254 mem-416 320 128 lT-1 debug_TIDL_alloc0: lIdx-256 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-257 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-258 mem-128 128 128 lT-29 debug_TIDL_alloc0: lIdx-259 mem-128 128 320 lT-38 debug_TIDL_alloc0: lIdx-260 mem-128 128 320 lT-29 debug_TIDL_alloc0: lIdx-262 mem-128 128 128 lT-29 debug_TIDL_init0: lIdx-1 0 64128 0 debug_TIDL_init0: lIdx-2 0 64128 0 debug_TIDL_init0: lIdx-3 0 4128 0 debug_TIDL_init0: lIdx-4 0 4128 0 debug_TIDL_init0: lIdx-5 0 4128 0 debug_TIDL_init0: lIdx-6 0 4128 0 debug_TIDL_init0: lIdx-7 0 4128 0 debug_TIDL_init0: lIdx-8 0 4128 0 debug_TIDL_init0: lIdx-9 0 32128 0 debug_TIDL_init0: lIdx-10 0 152 0 debug_TIDL_init0: lIdx-11 0 152 0 debug_TIDL_init0: lIdx-12 128 128 3151100 debug_TIDL_init0: lIdx-13 25099520 768 16733056 debug_TIDL_init0: lIdx-14 6406400 128 4270976 debug_TIDL_init0: lIdx-15 6406400 768 4270976 debug_TIDL_init0: lIdx-16 6144128 768 4096128 debug_TIDL_init0: lIdx-17 6406400 128 128 debug_TIDL_init0: lIdx-18 6406400 768 128 debug_TIDL_init0: lIdx-19 6144128 768 128 debug_TIDL_init0: lIdx-20 6406400 128 128 debug_TIDL_init0: lIdx-21 3072128 1280 2048128 debug_TIDL_init0: lIdx-22 3335552 1280 2223744 debug_TIDL_init0: lIdx-23 3072128 1280 2048128 debug_TIDL_init0: lIdx-24 3335552 128 128 debug_TIDL_init0: lIdx-25 3335552 1280 2223744 debug_TIDL_init0: lIdx-26 3072128 1280 128 debug_TIDL_init0: lIdx-27 3335552 128 128 debug_TIDL_init0: lIdx-28 1536128 2304 1024128 debug_TIDL_init0: lIdx-29 1801856 2304 1201280 debug_TIDL_init0: lIdx-30 1536128 2304 1024128 debug_TIDL_init0: lIdx-31 1801856 128 128 debug_TIDL_init0: lIdx-32 1801856 2304 1201280 debug_TIDL_init0: lIdx-33 1536128 2304 128 debug_TIDL_init0: lIdx-34 1801856 128 128 debug_TIDL_init0: lIdx-35 384128 768 128 debug_TIDL_init0: lIdx-36 768128 4352 512128 debug_TIDL_init0: lIdx-37 1038464 4352 692352 debug_TIDL_init0: lIdx-38 768128 4352 512128 debug_TIDL_init0: lIdx-39 1038464 128 128 debug_TIDL_init0: lIdx-40 1038464 4352 692352 debug_TIDL_init0: lIdx-41 768128 4352 128 debug_TIDL_init0: lIdx-42 1038464 128 128 debug_TIDL_init0: lIdx-43 96128 768 128 debug_TIDL_init0: lIdx-44 1536128 768 128 debug_TIDL_init0: lIdx-45 96128 128 128 debug_TIDL_init0: lIdx-46 96128 768 128 debug_TIDL_init0: lIdx-47 24128 384 16128 debug_TIDL_init0: lIdx-48 24128 384 16128 debug_TIDL_init0: lIdx-49 128 128 64128 debug_TIDL_init0: lIdx-50 128 128 128 debug_TIDL_init0: lIdx-51 128 128 128 debug_TIDL_init0: lIdx-52 128 128 64128 debug_TIDL_init0: lIdx-53 128 128 16128 debug_TIDL_init0: lIdx-54 128 128 16128 debug_TIDL_init0: lIdx-55 128 128 64128 debug_TIDL_init0: lIdx-56 128 128 16128 debug_TIDL_init0: lIdx-57 128 128 128 debug_TIDL_init0: lIdx-58 128 128 128 debug_TIDL_init0: lIdx-59 128 128 128 debug_TIDL_init0: lIdx-60 128 128 16128 debug_TIDL_init0: lIdx-61 128 128 16128 debug_TIDL_init0: lIdx-62 128 128 128 debug_TIDL_init0: lIdx-63 128 128 128 debug_TIDL_init0: lIdx-64 128 128 16128 debug_TIDL_init0: lIdx-65 128 128 16128 debug_TIDL_init0: lIdx-66 128 128 128 debug_TIDL_init0: lIdx-67 375128 128 250128 debug_TIDL_init0: lIdx-68 128 128 250128 debug_TIDL_init0: lIdx-69 128 128 128 debug_TIDL_init0: lIdx-70 128 128 250128 debug_TIDL_init0: lIdx-71 128 128 250128 debug_TIDL_init0: lIdx-72 128 128 128 debug_TIDL_init0: lIdx-73 128 128 128 debug_TIDL_init0: lIdx-74 128 128 128 debug_TIDL_init0: lIdx-75 128 128 128 debug_TIDL_init0: lIdx-76 128 128 128 debug_TIDL_init0: lIdx-77 128 128 128 debug_TIDL_init0: lIdx-78 96128 128 128 debug_TIDL_init0: lIdx-79 128 128 128 debug_TIDL_init0: lIdx-80 128 128 128 debug_TIDL_init0: lIdx-81 128 128 128 debug_TIDL_init0: lIdx-82 96128 896 128 debug_TIDL_init0: lIdx-83 129920 128 128 debug_TIDL_init0: lIdx-84 129920 768 128 debug_TIDL_init0: lIdx-85 96128 768 128 debug_TIDL_init0: lIdx-86 96128 128 128 debug_TIDL_init0: lIdx-87 96128 768 128 debug_TIDL_init0: lIdx-88 24128 384 128 debug_TIDL_init0: lIdx-89 24128 384 128 debug_TIDL_init0: lIdx-90 128 128 128 debug_TIDL_init0: lIdx-91 128 128 128 debug_TIDL_init0: lIdx-92 128 128 128 debug_TIDL_init0: lIdx-93 128 128 128 debug_TIDL_init0: lIdx-94 128 128 128 debug_TIDL_init0: lIdx-95 128 128 128 debug_TIDL_init0: lIdx-96 128 128 128 debug_TIDL_init0: lIdx-97 128 128 128 debug_TIDL_init0: lIdx-98 128 128 128 debug_TIDL_init0: lIdx-99 128 128 128 debug_TIDL_init0: lIdx-100 128 128 128 debug_TIDL_init0: lIdx-101 128 128 128 debug_TIDL_init0: lIdx-102 128 128 128 debug_TIDL_init0: lIdx-103 128 128 128 debug_TIDL_init0: lIdx-104 128 128 128 debug_TIDL_init0: lIdx-105 128 128 128 debug_TIDL_init0: lIdx-106 128 128 128 debug_TIDL_init0: lIdx-107 128 128 128 debug_TIDL_init0: lIdx-108 375128 128 128 debug_TIDL_init0: lIdx-109 128 128 128 debug_TIDL_init0: lIdx-110 128 128 128 debug_TIDL_init0: lIdx-111 128 128 128 debug_TIDL_init0: lIdx-112 128 128 128 debug_TIDL_init0: lIdx-113 128 128 128 debug_TIDL_init0: lIdx-114 128 128 128 debug_TIDL_init0: lIdx-115 128 128 128 debug_TIDL_init0: lIdx-116 128 128 128 debug_TIDL_init0: lIdx-117 128 128 128 debug_TIDL_init0: lIdx-118 128 128 128 debug_TIDL_init0: lIdx-119 96128 128 128 debug_TIDL_init0: lIdx-120 128 128 128 debug_TIDL_init0: lIdx-121 128 128 128 debug_TIDL_init0: lIdx-122 128 128 128 debug_TIDL_init0: lIdx-123 96128 896 128 debug_TIDL_init0: lIdx-124 129920 128 128 debug_TIDL_init0: lIdx-125 96128 768 128 debug_TIDL_init0: lIdx-126 129920 768 128 debug_TIDL_init0: lIdx-127 128 128 128 debug_TIDL_init0: lIdx-128 450560 128 128 debug_TIDL_init0: lIdx-129 450560 768 128 debug_TIDL_init0: lIdx-130 384128 768 128 debug_TIDL_init0: lIdx-131 804128 1328 128 debug_TIDL_init0: lIdx-132 384128 768 128 debug_TIDL_init0: lIdx-133 6128 264 4128 debug_TIDL_init0: lIdx-134 6128 512 128 debug_TIDL_init0: lIdx-135 6128 128 128 debug_TIDL_init0: lIdx-136 6128 128 128 debug_TIDL_init0: lIdx-137 6128 128 128 debug_TIDL_init0: lIdx-138 6128 128 128 debug_TIDL_init0: lIdx-139 6128 128 128 debug_TIDL_init0: lIdx-140 7166 128 128 debug_TIDL_init0: lIdx-141 6128 128 128 debug_TIDL_init0: lIdx-142 6128 512 128 debug_TIDL_init0: lIdx-143 6128 128 128 debug_TIDL_init0: lIdx-144 6128 512 128 debug_TIDL_init0: lIdx-145 6128 512 128 debug_TIDL_init0: lIdx-146 6128 128 128 debug_TIDL_init0: lIdx-147 128 128 128 debug_TIDL_init0: lIdx-148 1667840 128 128 debug_TIDL_init0: lIdx-149 1667840 768 128 debug_TIDL_init0: lIdx-150 1667840 768 128 debug_TIDL_init0: lIdx-151 1667840 768 128 debug_TIDL_init0: lIdx-152 1536128 768 128 debug_TIDL_init0: lIdx-153 4224128 128 128 debug_TIDL_init0: lIdx-154 128 128 1056128 debug_TIDL_init0: lIdx-155 128 128 536128 debug_TIDL_init0: lIdx-156 128 128 128 debug_TIDL_init0: lIdx-157 128 128 128 debug_TIDL_init0: lIdx-158 128 128 536128 debug_TIDL_init0: lIdx-159 402128 792 268128 debug_TIDL_init0: lIdx-160 402128 792 268128 debug_TIDL_init0: lIdx-161 128 128 128 debug_TIDL_init0: lIdx-162 128 128 128 debug_TIDL_init0: lIdx-163 128 128 128 debug_TIDL_init0: lIdx-164 128 128 128 debug_TIDL_init0: lIdx-165 128 128 268128 debug_TIDL_init0: lIdx-166 128 128 268128 debug_TIDL_init0: lIdx-167 128 128 268128 debug_TIDL_init0: lIdx-168 128 128 268128 debug_TIDL_init0: lIdx-169 128 128 268128 debug_TIDL_init0: lIdx-170 128 128 128 debug_TIDL_init0: lIdx-171 128 128 128 debug_TIDL_init0: lIdx-172 128 128 128 debug_TIDL_init0: lIdx-173 128 128 128 debug_TIDL_init0: lIdx-174 128 128 128 debug_TIDL_init0: lIdx-175 128 128 128 debug_TIDL_init0: lIdx-176 128 65792 152 debug_TIDL_init0: lIdx-177 128 128 152 debug_TIDL_init0: lIdx-178 128 128 128 debug_TIDL_init0: lIdx-180 128 128 128 debug_TIDL_init0: lIdx-181 128 128 1736 debug_TIDL_init0: lIdx-182 128 128 1736 debug_TIDL_init0: lIdx-183 128 128 1736 debug_TIDL_init0: lIdx-184 128 128 128 debug_TIDL_init0: lIdx-185 128 128 1736 debug_TIDL_init0: lIdx-186 128 128 1736 debug_TIDL_init0: lIdx-187 128 128 1736 debug_TIDL_init0: lIdx-188 128 128 128 debug_TIDL_init0: lIdx-189 128 128 1736 debug_TIDL_init0: lIdx-190 128 128 1736 debug_TIDL_init0: lIdx-191 128 128 1736 debug_TIDL_init0: lIdx-192 128 128 128 debug_TIDL_init0: lIdx-193 128 128 128 debug_TIDL_init0: lIdx-194 2504 784 128 debug_TIDL_init0: lIdx-195 164 264 128 debug_TIDL_init0: lIdx-196 128 128 128 debug_TIDL_init0: lIdx-197 2504 784 1712 debug_TIDL_init0: lIdx-198 164 264 128 debug_TIDL_init0: lIdx-199 128 128 128 debug_TIDL_init0: lIdx-200 128 128 128 debug_TIDL_init0: lIdx-201 128 128 128 debug_TIDL_init0: lIdx-202 128 128 128 debug_TIDL_init0: lIdx-203 128 128 1712 debug_TIDL_init0: lIdx-204 128 128 128 debug_TIDL_init0: lIdx-205 128 128 128 debug_TIDL_init0: lIdx-206 128 128 128 debug_TIDL_init0: lIdx-207 128 128 1712 debug_TIDL_init0: lIdx-208 128 128 128 debug_TIDL_init0: lIdx-209 128 128 1712 debug_TIDL_init0: lIdx-210 128 128 152 debug_TIDL_init0: lIdx-211 128 128 1712 debug_TIDL_init0: lIdx-212 128 128 152 debug_TIDL_init0: lIdx-213 128 128 1712 debug_TIDL_init0: lIdx-214 128 128 152 debug_TIDL_init0: lIdx-215 128 128 1712 debug_TIDL_init0: lIdx-216 128 128 152 debug_TIDL_init0: lIdx-217 128 128 128 debug_TIDL_init0: lIdx-218 128 128 128 debug_TIDL_init0: lIdx-219 128 128 128 debug_TIDL_init0: lIdx-220 144128 128 96128 debug_TIDL_init0: lIdx-221 128 128 128 debug_TIDL_init0: lIdx-222 128 128 128 debug_TIDL_init0: lIdx-223 164 128 128 debug_TIDL_init0: lIdx-224 128 128 128 debug_TIDL_init0: lIdx-225 128 128 128 debug_TIDL_init0: lIdx-226 144128 128 128 debug_TIDL_init0: lIdx-227 128 128 128 debug_TIDL_init0: lIdx-228 144128 128 128 debug_TIDL_init0: lIdx-229 128 128 128 debug_TIDL_init0: lIdx-230 128 128 128 debug_TIDL_init0: lIdx-231 164 128 128 debug_TIDL_init0: lIdx-232 128 128 128 debug_TIDL_init0: lIdx-233 128 128 128 debug_TIDL_init0: lIdx-234 144128 128 96128 debug_TIDL_init0: lIdx-237 128 128 128 debug_TIDL_init0: lIdx-238 128 128 128 debug_TIDL_init0: lIdx-239 128 128 128 debug_TIDL_init0: lIdx-240 128 128 96128 debug_TIDL_init0: lIdx-241 128 128 96128 debug_TIDL_init0: lIdx-242 128 128 128 debug_TIDL_init0: lIdx-243 1568 264 128 debug_TIDL_init0: lIdx-244 92288 768 61568 debug_TIDL_init0: lIdx-245 3008 272 128 debug_TIDL_init0: lIdx-246 128 128 128 debug_TIDL_init0: lIdx-247 128 128 128 debug_TIDL_init0: lIdx-248 128 128 128 debug_TIDL_init0: lIdx-249 128 128 128 debug_TIDL_init0: lIdx-250 128 128 2048 debug_TIDL_init0: lIdx-251 128 128 128 debug_TIDL_init0: lIdx-252 128 128 128 debug_TIDL_init0: lIdx-253 128 128 2048 debug_TIDL_init0: lIdx-254 416 320 128 debug_TIDL_init0: lIdx-256 128 128 128 debug_TIDL_init0: lIdx-257 128 128 128 debug_TIDL_init0: lIdx-258 128 128 128 debug_TIDL_init0: lIdx-259 128 128 320 debug_TIDL_init0: lIdx-260 128 128 320 debug_TIDL_init0: lIdx-262 128 128 128 Freeing memory for user provided Net ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . ..In Transpose: perm - 0 1 3 2 4 5, pp - 1 In Transpose: indata width-50 height-20 #ch-134 dim2-1 dim1-1 batch-1 In Transpose: outdata width-50 height-20 #ch-1 dim2-134 dim1-1 batch-1 ****** in TOPK *********** Inside TopK: index-0, value-0.000780582 Inside TopK: index-1, value-0 Inside TopK: index-2, value-0.000100017 Inside TopK: index-3, value-0.000100017 Inside TopK: index-4, value-0.000100017 Inside TopK: index-5, value-0.000100017 Inside TopK: index-12, value-0.000537395 Inside TopK: index-20, value-0.00699091 Inside TopK: index-49, value-0.00222981 Inside TopK: index-149, value-0.0103909 Inside TopK: index-162, value-0.00292653 Inside TopK: index-225, value-0.00093168 Inside TopK: index-249, value-0.0143731 Inside TopK: index-250, value-0.00128621 Inside TopK: index-259, value-0.00204778 Inside TopK: index-500, value-0.983345 Inside TopK: index-659, value-0.00717902 Inside TopK: index-749, value-0.00603288 Inside TopK: index-953, value-0.981534 Inside TopK: index-984, value-0.925356 debug_TopK_output: k-6, eltType-6 indexes - 500.000000 953.000000 984.000000 249.000000 149.000000 659.000000 values - 0.983345 0.981534 0.925356 0.014373 0.010391 0.007179 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.031892 0.047860 1.439004 0.107201 0.113230 -0.639439 -1.390929 1.144865 0.153617 0.355060 1.239488 -0.406840 -0.144433 0.029594 0.442160 -0.592280 -1.162784 -0.144998 -0.593081 -0.060581 indices - 500.000000 953.000000 984.000000 249.000000 149.000000 659.000000 0.983345 0.981534 0.925356 0.014373 0.010391 0.007179 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.004475 0.005917 -0.106735 0.260917 0.144994 -0.789256 -1.247814 1.356351 0.075643 -0.546324 0.936169 0.182075 -0.112331 0.098590 0.011408 -0.132649 -0.648244 -0.174250 -0.545457 -0.059796 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.011607 0.091742 -0.919051 -2.056625 -0.569802 2.137959 -0.043544 0.224416 -0.303755 -0.335190 1.602327 0.877187 0.261145 1.058929 -0.244173 -0.816514 0.175729 0.037902 1.097016 -0.956107 indices - 500.000000 953.000000 984.000000 249.000000 149.000000 659.000000 0.983345 0.981534 0.925356 0.014373 0.010391 0.007179 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.016898 -0.014653 -0.800541 -2.907652 -1.013877 1.267319 -0.290624 -0.112007 -0.198480 -0.981391 1.979619 -0.010244 0.396062 1.763264 -0.250316 0.068363 0.030317 0.128801 1.059041 0.141603 T 9916.92 .... ..... ... dumping outputs seeds 1x1x6x1 ele_size_in_bytes 4 masks 1x6x40x100 ele_size_in_bytes 4 regs 1x6x40x100 ele_size_in_bytes 4 feat_range 1x6x40x2 ele_size_in_bytes 4 cls_logits 1x1x6x8 ele_size_in_bytes 4 .... ..... # 1 . ..In Transpose: perm - 0 1 3 2 4 5, pp - 1 In Transpose: indata width-50 height-20 #ch-134 dim2-1 dim1-1 batch-1 In Transpose: outdata width-50 height-20 #ch-1 dim2-134 dim1-1 batch-1 ****** in TOPK *********** Inside TopK: index-0, value-0 Inside TopK: index-1, value-0 Inside TopK: index-2, value-0 Inside TopK: index-3, value-0 Inside TopK: index-4, value-0 Inside TopK: index-5, value-3.97472e-05 Inside TopK: index-6, value-8.63052e-05 Inside TopK: index-7, value-0.000100017 Inside TopK: index-8, value-0.000100017 Inside TopK: index-9, value-0.000100017 Inside TopK: index-10, value-0.000100017 Inside TopK: index-11, value-0.000100017 Inside TopK: index-12, value-0.000100017 Inside TopK: index-31, value-0.000605762 Inside TopK: index-43, value-0.00941783 Inside TopK: index-49, value-0.00148731 Inside TopK: index-50, value-0.00305021 Inside TopK: index-88, value-0.00357342 Inside TopK: index-129, value-0.00136298 Inside TopK: index-133, value-0.000960767 Inside TopK: index-177, value-0.00273073 Inside TopK: index-222, value-0.00223464 Inside TopK: index-269, value-0.00184536 Inside TopK: index-373, value-0.00252593 Inside TopK: index-402, value-0.00618088 Inside TopK: index-550, value-0.909768 Inside TopK: index-699, value-0.00313967 Inside TopK: index-764, value-0.00785643 Inside TopK: index-961, value-0.969841 Inside TopK: index-993, value-0.957735 debug_TopK_output: k-6, eltType-6 indexes - 961.000000 993.000000 550.000000 43.000000 764.000000 402.000000 values - 0.969841 0.957735 0.909768 0.009418 0.007856 0.006181 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.027388 0.035941 1.477748 0.056869 0.041943 -0.629220 -1.370167 1.174638 0.111972 0.394343 1.152039 -0.346135 0.000172 0.068605 0.325455 -0.500738 -1.322221 -0.149721 -0.557493 -0.037833 indices - 961.000000 993.000000 550.000000 43.000000 764.000000 402.000000 0.969841 0.957735 0.909768 0.009418 0.007856 0.006181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.011233 -0.001330 -0.375003 0.001432 -0.095116 -0.135073 -0.853865 -0.290453 0.341173 -4.065132 0.760045 -0.271475 0.351812 0.126377 0.266243 1.113472 -0.033535 -1.402595 0.207871 0.993441 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.017601 0.073323 -0.882585 -1.857277 -0.486085 2.081720 0.017732 0.105038 -0.297786 -0.402076 1.466407 0.971647 0.424586 1.046139 -0.266407 -0.687857 0.248569 -0.069291 0.998318 -0.938833 indices - 961.000000 993.000000 550.000000 43.000000 764.000000 402.000000 0.969841 0.957735 0.909768 0.009418 0.007856 0.006181 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.003952 0.000473 -0.946537 -1.870803 1.409617 1.314132 -0.378024 1.026646 1.501372 0.341163 0.202231 -1.058563 0.545407 2.260476 -0.475036 0.350879 0.075166 -0.520651 -0.904100 -0.154583 T 9967.24 .... ..... ... dumping outputs seeds 1x1x6x1 ele_size_in_bytes 4 masks 1x6x40x100 ele_size_in_bytes 4 regs 1x6x40x100 ele_size_in_bytes 4 feat_range 1x6x40x2 ele_size_in_bytes 4 cls_logits 1x1x6x8 ele_size_in_bytes 4 .... ..... # 2 . ..In Transpose: perm - 0 1 3 2 4 5, pp - 1 In Transpose: indata width-50 height-20 #ch-134 dim2-1 dim1-1 batch-1 In Transpose: outdata width-50 height-20 #ch-1 dim2-134 dim1-1 batch-1 ****** in TOPK *********** Inside TopK: index-0, value-0.00195462 Inside TopK: index-1, value-0 Inside TopK: index-2, value-0 Inside TopK: index-3, value-0 Inside TopK: index-4, value-0 Inside TopK: index-5, value-0 Inside TopK: index-16, value-0.00864631 Inside TopK: index-18, value-0.0094437 Inside TopK: index-24, value-0.018661 Inside TopK: index-34, value-0.000100017 Inside TopK: index-35, value-0.000100017 Inside TopK: index-49, value-0.000478446 Inside TopK: index-100, value-0.00232929 Inside TopK: index-126, value-0.00187123 Inside TopK: index-178, value-0.00236243 Inside TopK: index-549, value-0.00389844 Inside TopK: index-550, value-0.99356 Inside TopK: index-649, value-0.00307077 Inside TopK: index-664, value-0.00649941 Inside TopK: index-960, value-0.979808 Inside TopK: index-992, value-0.967558 debug_TopK_output: k-6, eltType-6 indexes - 550.000000 960.000000 992.000000 24.000000 18.000000 16.000000 values - 0.993560 0.979808 0.967558 0.018661 0.009444 0.008646 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.031948 0.037815 1.308619 0.125670 -0.000647 -0.654075 -1.283150 1.130231 0.136488 0.296449 1.097982 -0.383424 -0.118117 0.067631 0.317338 -0.527184 -1.019342 -0.193135 -0.640185 0.000517 indices - 550.000000 960.000000 992.000000 24.000000 18.000000 16.000000 0.993560 0.979808 0.967558 0.018661 0.009444 0.008646 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.010811 0.013416 -0.176871 0.240909 0.151008 -0.756532 -1.231691 1.326687 0.075975 -0.502604 0.965775 0.210028 -0.109082 0.069606 -0.006121 -0.083822 -0.622038 -0.190782 -0.566617 -0.057483 ****** in Gather *********** debug_TIDL_refGatherProcess: indicesType-6 In Gather: outdata width-67 height-6 #ch-1 dim2-1 dim1-1 batch-1 debug_Gather_input: data - -0.030646 0.082026 -0.911185 -1.998352 -0.422472 1.827432 0.007884 0.178706 -0.187662 -0.483310 1.632383 0.736748 0.202515 1.090452 -0.311785 -0.676272 0.133058 0.008367 1.118364 -0.788235 indices - 550.000000 960.000000 992.000000 24.000000 18.000000 16.000000 0.993560 0.979808 0.967558 0.018661 0.009444 0.008646 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 debug_Gather_output: -0.011290 -0.029020 -0.781092 -3.062045 -1.073351 1.339958 -0.296826 -0.056019 -0.224685 -1.041634 1.986507 -0.023493 0.386649 1.765773 -0.221075 0.077379 -0.007610 0.174908 1.078032 0.121453 T 9942.49 .... ..... ... dumping outputs seeds 1x1x6x1 ele_size_in_bytes 4 masks 1x6x40x100 ele_size_in_bytes 4 regs 1x6x40x100 ele_size_in_bytes 4 feat_range 1x6x40x2 ele_size_in_bytes 4 cls_logits 1x1x6x8 ele_size_in_bytes 4 .... .....Empty prototxt path, running calibration 0 image : 1x3x320x800 1 : 1x64x10x25 2 : 1x64x10x25 3 : 1x1x20x50 4 : 1x1x20x50 5 : 1x1x20x50 6 : 1x1x20x50 7 : 1x1x20x50 8 : 1x1x20x50 9 : 1x2x40x100 10 : 1x1x6x1 11 : 1x1x6x1 12 : 1x3x320x800 13 Conv_0 : 1x64x160x400 14 MaxPool_2 : 1x64x80x200 15 Conv_3 : 1x64x80x200 16 Conv_5 : 1x64x80x200 17 Add_6 : 1x64x80x200 18 Conv_8 : 1x64x80x200 19 Conv_10 : 1x64x80x200 20 Add_11 : 1x64x80x200 21 Conv_16 : 1x128x40x100 22 Conv_13 : 1x128x40x100 23 Conv_15 : 1x128x40x100 24 Add_17 : 1x128x40x100 25 Conv_19 : 1x128x40x100 26 Conv_21 : 1x128x40x100 27 Add_22 : 1x128x40x100 28 Conv_27 : 1x256x20x50 29 Conv_24 : 1x256x20x50 30 Conv_26 : 1x256x20x50 31 Add_28 : 1x256x20x50 32 Conv_30 : 1x256x20x50 33 Conv_32 : 1x256x20x50 34 Add_33 : 1x256x20x50 35 Conv_141 : 1x64x20x50 36 Conv_38 : 1x512x10x25 37 Conv_35 : 1x512x10x25 38 Conv_37 : 1x512x10x25 39 Add_39 : 1x512x10x25 40 Conv_41 : 1x512x10x25 41 Conv_43 : 1x512x10x25 42 Add_44 : 1x512x10x25 43 Conv_46 : 1x64x10x25 44 Conv_140 : 1x64x40x100 45 Add_58 : 1x64x10x25 46 Conv_77 : 1x64x10x25 47 Conv_66 : 1x16x10x25 48 Conv_59 : 1x16x10x25 49 : 1x64x10x25 50 : 1x16x10x25 51 : 1x16x10x25 52 Reshape_82 : 1x1x64x250 53 Reshape_71 : 1x1x16x250 54 Reshape_64 : 1x1x16x250 55 : 1x1x64x250 56 : 1x1x16x250 57 : 1x1x16x250 58 : 1x1x16x250 59 : 1x1x16x250 60 : 1x250x1x16 61 : 1x250x1x16 62 : 1x250x1x16 63 : 1x250x1x16 64 Transpose_65 : 1x1x250x16 65 : 1x1x250x16 66 : 1x1x250x16 67 MatMul_72 : 1x1x250x250 68 : 1x1x250x250 69 : 1x1x250x250 70 : 1x250x1x250 71 : 1x250x1x250 72 : 1x250x1x250 73 : 1x250x1x250 74 : 1x1x250x250 75 : 1x1x250x250 76 : 1x1x250x250 77 Softmax_74 : 1x1x250x250 78 MatMul_83 : 1x1x64x250 79 : 1x1x64x250 80 Reshape_88 : 1x64x10x25 81 : 1x64x10x25 82 Mul_89 : 1x64x10x25 83 Add_90 : 1x64x10x25 84 Conv_91 : 1x64x10x25 85 Conv_93 : 1x64x10x25 86 Add_105 : 1x64x10x25 87 Conv_124 : 1x64x10x25 88 Conv_113 : 1x16x10x25 89 Conv_106 : 1x16x10x25 90 : 1x64x10x25 91 : 1x16x10x25 92 : 1x16x10x25 93 Reshape_129 : 1x1x64x250 94 Reshape_118 : 1x1x16x250 95 Reshape_111 : 1x1x16x250 96 : 1x1x64x250 97 : 1x1x16x250 98 : 1x1x16x250 99 : 1x1x16x250 100 : 1x1x16x250 101 : 1x250x1x16 102 : 1x250x1x16 103 : 1x250x1x16 104 : 1x250x1x16 105 Transpose_112 : 1x1x250x16 106 : 1x1x250x16 107 : 1x1x250x16 108 MatMul_119 : 1x1x250x250 109 : 1x1x250x250 110 : 1x1x250x250 111 : 1x250x1x250 112 : 1x250x1x250 113 : 1x250x1x250 114 : 1x250x1x250 115 : 1x1x250x250 116 : 1x1x250x250 117 : 1x1x250x250 118 Softmax_121 : 1x1x250x250 119 MatMul_130 : 1x1x64x250 120 : 1x1x64x250 121 Reshape_135 : 1x64x10x25 122 : 1x64x10x25 123 Mul_136 : 1x64x10x25 124 Add_137 : 1x64x10x25 125 Conv_138 : 1x64x10x25 126 Conv_142 : 1x64x10x25 127 Upsample_143 : 1x64x20x50 128 Add_144 : 1x64x20x50 129 Conv_148 : 1x64x20x50 130 Conv_155 : 1x64x20x50 131 Conv_157 : 1x134x20x50 132 Conv_152 : 1x64x20x50 133 Conv_154 : 1x1x20x50 134 Sigmoid_170 : 1x1x20x50 135 Add_172 : 1x1x20x50 136 Add_175 : 1x1x20x50 137 Mul_177 : 1x1x20x50 138 Add_179 : 1x1x20x50 139 Mul_182 : 1x1x20x50 140 Add_184 : 1x1x20x50 141 MaxPool_204 : 1x1x20x50 142 Mul_206 : 1x1x20x50 143 Add_207 : 1x1x20x50 144 Add_211 : 1x1x20x50 145 Mul_214 : 1x1x20x50 146 Mul_215 : 1x1x20x50 147 Upsample_145 : 1x64x40x100 148 Add_146 : 1x64x40x100 149 Conv_147 : 1x64x40x100 150 Conv_185 : 1x64x40x100 151 Conv_187 : 1x64x40x100 152 Conv_189 : 1x64x40x100 153 Concat_241 : 1x66x40x100 154 Reshape_rc_0 : 1x1x66x4000 155 : 1x134x20x50 156 Transpose_196 : 1x1x20x50 157 : 1x1x20x50 158 Reshape_203 : 1x134x1x1000 159 Conv_289 : 1x67x1x1000 160 Conv_228 : 1x67x1x1000 161 : 1x67x1x1000 162 : 1x67x1x1000 163 : 1x67x1x1000 164 : 1x67x1x1000 165 : 1x1x1000x67 166 : 1x1x1000x67 167 Transpose_290 : 1x1000x1x67 168 Transpose_229 : 1x1000x1x67 169 : 1x1000x1x67 170 : 1x1000x1x67 171 Reshape_292 : 1x1x1000x67 172 Reshape_231 : 1x1x1000x6 ------------------ Network Compiler Traces ----------------------------- successful Memory allocation successful Workload Creation Rerunning network compiler ------------------ Network Compiler Traces ----------------------------- Invalid layer parameters for layer 135, 29 Error : Error Code = Segmentation fault (core dumped) ***************Running_Benchmark_Section ********** ***************Running_Inference Section ********** This is Lucid Model for image ../../../lucid/data_onnx/test_images/img0278.png Type of onnx_op: Value of onnx_op: [array([[[[[[550], [960], [992], [ 24], [ 18], [ 16]]]]]], dtype=int64), array([[[[[[-1.81678181e+01, -1.14333076e+01, -1.91210861e+01, ..., -1.96654015e+01, -1.45126553e+01, -1.44739285e+01], [-2.06280499e+01, -4.57722950e+00, -9.55772591e+00, ..., -1.35700703e+01, -9.56562996e+00, -1.49393082e+01], [-1.93224564e+01, -3.60329700e+00, -8.73045731e+00, ..., -1.06936064e+01, -8.19530869e+00, -1.76084938e+01], ..., [-2.12048149e+01, -2.18945861e+00, -5.03363180e+00, ..., -7.88388777e+00, -6.52230167e+00, -1.67470875e+01], [-1.94439030e+01, -2.50360250e+00, -6.04185200e+00, ..., -8.82348061e+00, -7.63327503e+00, -1.73135223e+01], [-1.48852787e+01, -1.97444189e+00, -4.25180387e+00, ..., 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, 1.0377421 , -6.7409396 , -9.27198 , -8.640037 , -15.752806 ], [ 11.09444 , -6.8388696 , 10.720894 , 1.8965284 , -7.585268 , -8.314001 , -7.7882166 , -14.204308 ]]]]]], dtype=float32)] ***************Running_Benchmark_Section ********** Completed_Model : 1, Name : fnc_safety_fp32 , Total time : 21180.44, Offload Time : 10073.91 , DDR RW MBs : 0, Output File : py_out_fnc_safety_fp32_img0278.png 7 173 : 1x1x20x50 174 Reshape_218 : 1x1x1x1000 175 : 1x1x1x1000 176 TopK_219 : 1x1x1x6 176 TopK_219 : 1x1x1x6 177 Reshape_221 : 1x1x6x1 178 Squeeze_224 : 1x1x1x6 180 : 1x1x6x1 181 Gather_294 : 1x1x6x67 182 Gather_233 : 1x1x6x67 183 : 1x1x6x67 184 : 1x1x6x67 185 : 1x67x1x6 186 : 1x67x1x6 187 : 1x67x1x6 188 : 1x67x1x6 189 Transpose_306 : 1x1x67x6 190 Transpose_245 : 1x1x67x6 191 : 1x1x67x6 192 : 1x1x67x6 193 Reshape_309 : 1x67x1x6 194 Conv_310 : 1x66x1x6 195 Conv_314 : 1x1x1x6 196 Reshape_248 : 1x67x1x6 197 Conv_249 : 1x66x1x6 198 Conv_253 : 1x1x1x6 199 : 1x66x1x6 200 : 1x1x1x6 201 : 1x66x1x6 202 : 1x1x1x6 203 : 1x66x1x6 204 : 1x1x1x6 205 : 1x66x1x6 206 : 1x1x1x6 207 : 1x1x6x66 208 : 1x1x6x1 209 : 1x1x6x66 210 : 1x1x6x1 211 Transpose_311 : 1x6x1x66 212 Transpose_315 : 1x6x1x1 213 Transpose_250 : 1x6x1x66 214 Transpose_254 : 1x6x1x1 215 : 1x6x1x66 216 : 1x6x1x1 217 : 1x6x1x66 218 : 1x6x1x1 219 Reshape_313 : 1x1x6x66 220 MatMul_rc_1 : 1x1x6x4000 221 Reshape_rc_2 : 1x6x40x100 222 Reshape_317 : 1x1x6x1 223 Add_324 : 1x1x6x1 224 Reshape_334 : 1x1x1x6 225 Reshape_344 : 1x6x1x1 226 Add_345 : 1x6x40x100 227 Reshape_252 : 1x1x6x66 228 MatMul_rc_0 : 1x1x6x4000 229 Reshape_rc_1 : 1x6x40x100 230 Reshape_256 : 1x1x6x1 231 Add_263 : 1x1x6x1 232 Reshape_273 : 1x1x1x6 233 Reshape_283 : 1x6x1x1 234 Add_284 : 1x6x40x100 237 : 1x6x40x100 238 : 1x6x40x100 239 : 1x6x40x100 240 : 1x100x6x40 241 : 1x100x6x40 242 : 1x100x6x40 243 Conv_363 : 1x1x6x40 244 Conv3_2 : 1x64x6x40 245 Conv3_4 : 1x2x6x40 246 : 1x1x6x40 247 : 1x2x6x40 248 : 1x2x6x40 249 : 1x40x1x6 250 : 1x6x40x2 251 : 1x40x1x6 252 : 1x40x1x6 253 : 1x6x40x2 254 Conv_366 : 1x8x1x6 256 : 1x6x40x2 257 : 1x8x1x6 258 : 1x8x1x6 259 : 1x1x6x8 260 : 1x1x6x8 262 : 1x1x6x8 SUGGESTION: [TIDL_BatchNormLayer] Mul_89 16 bits is not optimal in this release. SUGGESTION: [TIDL_BatchNormLayer] Mul_136 16 bits is not optimal in this release. INFORMATION: [TIDL_ResizeLayer] Upsample_143 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. SUGGESTION: [TIDL_BatchNormLayer] Mul_206 16 bits is not optimal in this release. SUGGESTION: [TIDL_BatchNormLayer] Add_211 16 bits is not optimal in this release. SUGGESTION: [TIDL_BatchNormLayer] Mul_214 16 bits is not optimal in this release. INFORMATION: [TIDL_ResizeLayer] Upsample_145 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize. **************************************************** ** 7 WARNINGS 0 ERRORS ** **************************************************** In TIDL_runtimesPostProcessNet 4 ************ in TIDL_subgraphRtDelete ************ MEM: Deinit ... !!! MEM: Alloc's: 30 alloc's of 346889625 bytes MEM: Free's : 30 free's of 346889625 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!