def _summary(self):
"""
Print a summary of the DSE transformations
"""
if self.profile:
row = "%s [flops: %s, elapsed: %.2f]"
summary = " >>\n ".join(
row % ("".join(filter(lambda c: not c.isdigit(), k[1:])),
str(self.ops.get(k, "?")), v)
for k, v in self.timings.items())
elapsed = sum(self.timings.values())
dse("%s\n [Total elapsed: %.2f s]" % (summary, elapsed))
def run(self, cluster):
state = State(cluster, self.template)
self._pipeline(state)
self._finalize(state)
if self.profile:
# Print a summary of the applied transformations
row = "%s [flops: %s, elapsed: %.2f]"
summary = " >>\n ".join(row % ("".join(filter(lambda c: not c.isdigit(),
k[1:])),
str(state.ops.get(k, "?")), v)
for k, v in state.timings.items())
elapsed = sum(state.timings.values())
dse("%s\n [Total elapsed: %.2f s]" % (summary, elapsed))
self.run_summary.append({'ops': state.ops, 'timings': state.timings})
return state.clusters
def run(self, cluster):
state = State(cluster, self.template)
self._pipeline(state)
self._finalize(state)
if self.profile:
# Print a summary of the applied transformations
row = "%s [flops: %s, elapsed: %.2f]"
summary = " >>\n ".join(
row % ("".join(filter(lambda c: not c.isdigit(), k[1:])),
str(state.ops.get(k, "?")), v)
for k, v in state.timings.items())
elapsed = sum(state.timings.values())
dse("%s\n [Total elapsed: %.2f s]" % (summary, elapsed))
self.run_summary.append({
'ops': state.ops,
'timings': state.timings
})
return state.clusters