def add_summary_report(self, path):
summary_results = report.parse_log(path)
html_str = report.summary.make_report(self.time,
summary_results,
self.subsuite_results)
path = "report.html"
self.zip_file.writestr(path, html_str)
def add_subsuite_report(self, path):
results = report.parse_log(path)
self.subsuite_results.append(results)
if not results.is_pass:
html_str = report.subsuite.make_report(results)
path = "%s/report.html" % results.name
self.zip_file.writestr(path, html_str)
def add_subsuite_report(self, path, result_files):
results = report.parse_log(path)
# prepare embeded file data
files_map = {}
for path in result_files:
if os.path.exists(path):
file_name = os.path.split(path)[1]
with open(path, "r") as f:
files_map[file_name] = f.read()
self.zip_file.writestr("%s/%s" % (results.name, os.path.basename(path)), files_map[file_name])
results.set("files", files_map)
self.subsuite_results[results.name] = {}
self.subsuite_results[results.name]["files"] = files_map
self.subsuite_results[results.name]["results"] = results
self.subsuite_results[results.name]["html_str"] = report.subsuite.make_report(results)
path = "%s/report.html" % results.name
self.zip_file.writestr(path, self.subsuite_results[results.name]["html_str"])
if results.has_regressions:
return results.regressions
else:
return None
def add_summary_report(self, path):
summary_results = report.parse_log(path)
html_str = report.summary.make_report(self.time, summary_results,
self.subsuite_results,
[path, self.profile_path])
path = "report.html"
self.zip_file.writestr(path, html_str)
def add_subsuite_report(self, path, result_files):
results = report.parse_log(path)
# prepare embeded file data
files_map = {}
for path in result_files:
if os.path.exists(path):
file_name = os.path.split(path)[1]
with open(path, 'r') as f:
files_map[file_name] = f.read()
self.zip_file.writestr(
"%s/%s" % (results.name, os.path.basename(path)),
files_map[file_name])
results.set('files', files_map)
self.subsuite_results[results.name] = {}
self.subsuite_results[results.name]['files'] = files_map
self.subsuite_results[results.name]['results'] = results
self.subsuite_results[
results.name]['html_str'] = report.subsuite.make_report(results)
path = "%s/report.html" % results.name
self.zip_file.writestr(path,
self.subsuite_results[results.name]['html_str'])
if results.has_regressions:
return results.regressions
else:
return None
def best(path, what='valid_Error_rate'):
res = parse_log(path, [what])
return min(res[what])
if y_steps is None and y is not None:
y_steps = range(len(y))
plt.plot(x_steps, x, ls='-', c=color, lw=2, label=xlabel)
if y is not None:
plt.plot(y_steps, y, c=color, lw=2, label=ylabel)
def best(path, what='valid_Error_rate'):
res = parse_log(path, [what])
return min(res[what])
to_be_plotted = ['train_cost_total']
to_be_plotted = ['valid_approx_cost_class_clean']
yaxis = 'Cross Entropy'
titles = ['train ladder standard', 'valid ladder standard', 'train no bn', 'valid no bn']
main_title = 'no batch-norm'
log = ojoin(sys.argv[1], 'log.txt')
# print best(log)
results = parse_log(log, to_be_plotted)
plt.figure()
plot(results, titles[0], titles[1], 'b')
#pimp(yaxis=yaxis, y_lim=[5, 13], title=main_title)
pimp(yaxis=yaxis, y_lim=[.05, .5], title=main_title)
plt.savefig(sys.argv[2])
plt.show()
# pc.call('open ' + sys.argv[2], shell=True)
def best(path, what='valid_Error_rate'):
res = parse_log(path, [what])
return min(res[what])
plt.plot(x_steps, x, ls='-', c=color, lw=2, label=xlabel)
if y is not None:
plt.plot(y_steps, y, c=color, lw=2, label=ylabel)
def best(path, what='valid_Error_rate'):
res = parse_log(path, [what])
return min(res[what])
to_be_plotted = ['train_cost_total']
to_be_plotted = ['valid_approx_cost_class_clean']
yaxis = 'Cross Entropy'
titles = [
'train ladder standard', 'valid ladder standard', 'train no bn',
'valid no bn'
]
main_title = 'no batch-norm'
log = ojoin(sys.argv[1], 'log.txt')
# print best(log)
results = parse_log(log, to_be_plotted)
plt.figure()
plot(results, titles[0], titles[1], 'b')
#pimp(yaxis=yaxis, y_lim=[5, 13], title=main_title)
pimp(yaxis=yaxis, y_lim=[.05, .5], title=main_title)
plt.savefig(sys.argv[2])
plt.show()
# pc.call('open ' + sys.argv[2], shell=True)
