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[FAQ] AM243x: How to plot graph for OSPI Phy Tuning Algorithm?

Vaibhav Kumar
Guru 57975 points

Part Number: PROCESSOR-SDK-AM62A

Tool/software:

Explanation:

While running the OSPI Phy Tuning algorithm we tend to compute the Optimal Tuning Point(OTP).

Under the file ospi_phy.c, we come across the API: OSPI_phyTuneGrapher

The API OSPI_phyTuneGrapher scans through all possible combinations of rdDelay(0 till 4), txDLL(0 till 127) and rxDLL(0 till 127).

A value of 1 is recorded if a particular combination is successful in reading the 128 bytes of pre flashed data else a value of 0 is recorded.

This value is recorded in an array named phyTuningArray(a 3D array [rdDelay][txDLL][rxDLL] having dimensions [5][128][128]).

To represent this array in a graph, we can perform the following steps:

  1. Run the following piece of attached code, which saves the graph in a binary format to a custom local directory.
  2. Once the graph is saved as "graph_data_temperature_testing.bin", run the attached python script as follows: "python graph.py graph_data_temperature_testing.bin".

The graph plots can be used to see the variation across different temperatures.

  • +1
    TI__Guru 57975 points

    Code that can be run on TI EVM AM243x directly on the MCU R5F core: ospi_flash_io.zip

    Python Script to plot the graph: 

    Fullscreen 0181.graph.py Download 
    import os
import sys
import matplotlib.pyplot as plt

col0 = "red"
col1 = "blue"
col2 = "green"
col3 = "pink"

f_name = sys.argv[1]
f_size = os.path.getsize(f_name)

f = open(f_name, "rb")

data0 = f.read(int(f_size/5))
data1 = f.read(int(f_size/5))
data2 = f.read(int(f_size/5))
data3 = f.read(int(f_size/5))
data4 = f.read(int(f_size/5))

x0 = []
y0 = []


for tx in range(0, 128):
	for rx in range(0, 128):
		idx = 128*tx + rx
		if(int(data0[idx]) == 1):
			x0.append(tx)
			y0.append(rx)

x1 = []
y1 = []

for tx in range(0, 128):
	for rx in range(0, 128):
		idx = 128*tx + rx
		if(int(data1[idx]) == 1):
			x1.append(tx)
			y1.append(rx)


x2 = []
y2 = []

for tx in range(0, 128):
	for rx in range(0, 128):
		idx = 128*tx + rx
		if(int(data2[idx]) == 1):
			x2.append(tx)
			y2.append(rx)


x3 = []
y3 = []

for tx in range(0, 128):
	for rx in range(0, 128):
		idx = 128*tx + rx
		if(int(data3[idx]) == 1):
			x3.append(tx)
			y3.append(rx)
			
x4 = []
y4 = []

for tx in range(0, 128):
	for rx in range(0, 128):
		idx = 128*tx + rx
		if(int(data4[idx]) == 1):
			x4.append(tx)
			y4.append(rx)

plt.xlim(0,128)
plt.ylim(0,128)

plt.scatter(x0,y0,c=col0,linewidths=2)
plt.scatter(x1,y1,c=col1,linewidths=2)


plt.xlabel("TX")
plt.ylabel("RX")

plt.show()