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added combined process regression line

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Madeleine Masser-Frye 2022-06-03 22:53:03 +00:00
parent b1571f7ee9
commit 92d9687ded
1 changed files with 20 additions and 11 deletions
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31
synthDC/ppaAnalyze.py
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@ -169,8 +169,8 @@ def genLegend(fits, coefs, r2, spec):
eq = eq[3:] eq = eq[3:]
legend_elements = [lines.Line2D([0], [0], color=spec.color, label=eq), legend_elements = [lines.Line2D([0], [0], color=spec.color, label=eq)]
lines.Line2D([0], [0], color=spec.color, ls='', marker=spec.shape, label=spec.tech +' $R^2$='+ str(round(r2, 4)))] if spec.shape: legend_elements += [lines.Line2D([0], [0], color=spec.color, ls='', marker=spec.shape, label=spec.tech +' $R^2$='+ str(round(r2, 4)))]
return legend_elements return legend_elements
def oneMetricPlot(module, var, freq=None, ax=None, fits='clsgn', norm=True, color=None): def oneMetricPlot(module, var, freq=None, ax=None, fits='clsgn', norm=True, color=None):
@ -193,6 +193,9 @@ def oneMetricPlot(module, var, freq=None, ax=None, fits='clsgn', norm=True, colo
global norms global norms
allWidths = []
allMetrics = []
for spec in techSpecs: for spec in techSpecs:
metric = getVals(spec.tech, module, var, freq=freq) metric = getVals(spec.tech, module, var, freq=freq)
@ -202,12 +205,19 @@ def oneMetricPlot(module, var, freq=None, ax=None, fits='clsgn', norm=True, colo
metric = [m/norm for m in metric] # comment out to not normalize metric = [m/norm for m in metric] # comment out to not normalize
if len(metric) == 5: if len(metric) == 5:
allWidths += widths
allMetrics += metric
xp, pred, leg = regress(widths, metric, spec, fits) xp, pred, leg = regress(widths, metric, spec, fits)
fullLeg += leg fullLeg += leg
c = color if color else spec.color c = color if color else spec.color
ax.scatter(widths, metric, color=c, marker=spec.shape) ax.scatter(widths, metric, color=c, marker=spec.shape)
ax.plot(xp, pred, color=c) ax.plot(xp, pred, color=c)
combined = TechSpec('combined', 'red', 0, 0, 0, 0, 0)
xp, pred, leg = regress(allWidths, allMetrics, combined, fits)
fullLeg += leg
ax.plot(xp, pred, color='red')
ax.legend(handles=fullLeg) ax.legend(handles=fullLeg)
ax.set_xticks(widths) ax.set_xticks(widths)
@ -508,24 +518,23 @@ if __name__ == '__main__':
# cleanup() # cleanup()
synthsintocsv() # slow, run only when new synth runs to add to csv # synthsintocsv() # slow, run only when new synth runs to add to csv
allSynths = synthsfromcsv('ppaData.csv') # your csv here! allSynths = synthsfromcsv('ppaData.csv') # your csv here!
# # ### examples # # ### examples
# # squareAreaDelay('sky90', 'add', 32) # squareAreaDelay('sky90', 'add', 32)
# # plotBestAreas('add') # plotBestAreas('add')
# oneMetricPlot('mux2', 'delay', norm=False) # oneMetricPlot('add', 'delay')
# print(len(freqsL[0]))
# freqPlot('sky90', 'mux4', 16) # freqPlot('sky90', 'mux4', 16)
for mod in modules: for mod in modules:
plotPPA(mod, norm=False) plotPPA(mod, norm=False)
plotPPA(mod) plotPPA(mod)
for w in [8, 16, 32, 64, 128]: # for w in [8, 16, 32, 64, 128]:
freqPlot('sky90', mod, w) # freqPlot('sky90', mod, w)
freqPlot('tsmc28', mod, w) # freqPlot('tsmc28', mod, w)
plt.close('all') plt.close('all')
csvOfBest() # csvOfBest()