提交 28e1bd43 authored 作者: Frederic Bastien's avatar Frederic Bastien

print more column in the profiler. Added the number of apply in the op-wise…

print more column in the profiler. Added the number of apply in the op-wise summary. Added the number of op in the single op-wise summary
上级 f227b82b
...@@ -206,11 +206,14 @@ class ProfileMode(Mode): ...@@ -206,11 +206,14 @@ class ProfileMode(Mode):
op_time = {} op_time = {}
op_call = {} op_call = {}
op_apply = {}
for (i,a),t in apply_time.items(): for (i,a),t in apply_time.items():
op_time.setdefault(a,0) op_time.setdefault(a,0)
op_call.setdefault(a,0) op_call.setdefault(a,0)
op_apply.setdefault(a,0)
op_time[a]+=t op_time[a]+=t
op_call[a]+=apply_call[(i,a)] op_call[a]+=apply_call[(i,a)]
op_apply[a]+=1
op_flops = {} op_flops = {}
for a,t in op_time.items(): for a,t in op_time.items():
...@@ -221,14 +224,14 @@ class ProfileMode(Mode): ...@@ -221,14 +224,14 @@ class ProfileMode(Mode):
if op_flops: if op_flops:
flops_msg=' <MFlops/s>' flops_msg=' <MFlops/s>'
print '\nHACK WARNING: we print the flops for some OP, but the logic don\' always work. You need to know the internal of Theano to make it work correctly. Otherwise don\'t use!' print '\nHACK WARNING: we print the flops for some OP, but the logic don\' always work. You need to know the internal of Theano to make it work correctly. Otherwise don\'t use!'
print '\nOp-wise summary: <%% of local_time spent on this kind of Op> <cumulative seconds> <self seconds> <time per call> %s <nb_call> <Op name>'%(flops_msg) print '\nOp-wise summary: <%% of local_time spent on this kind of Op> <cumulative seconds> <self seconds> <time per call> %s <nb_call> <nb apply> <Op name>'%(flops_msg)
otimes = [(t/local_time, t, a, op_cimpl.get(a, 0), op_call.get(a, 0)) otimes = [(t/local_time, t, a, op_cimpl.get(a, 0), op_call.get(a, 0), op_apply.get(a,0))
for a, t in op_time.items()] for a, t in op_time.items()]
otimes.sort() otimes.sort()
otimes.reverse() otimes.reverse()
tot=0 tot=0
for f,t,a,ci,nb_call in otimes[:n_ops_to_print]: for f,t,a,ci,nb_call,nb_apply in otimes[:n_ops_to_print]:
if nb_call == 0: if nb_call == 0:
assert t == 0 assert t == 0
continue continue
...@@ -238,31 +241,34 @@ class ProfileMode(Mode): ...@@ -238,31 +241,34 @@ class ProfileMode(Mode):
else: else:
msg = ' ' msg = ' '
if op_flops: if op_flops:
print ' %4.1f%% %.3fs %.3fs %.2es %s %7.1f %d %s' % (f*100, tot, t, t/nb_call, msg, op_flops.get(a,-1), nb_call, a) print ' %4.1f%% %.3fs %.3fs %.2es %s %7.1f %d %d %s' % (f*100, tot, t, t/nb_call, msg, op_flops.get(a,-1), nb_call, nb_apply, a)
else: else:
print ' %4.1f%% %.3fs %.3fs %.2es %s %d %s' % (f*100, tot, t, t/nb_call, msg, nb_call, a) print ' %4.1f%% %.3fs %.3fs %.2es %s %d %d %s' % (f*100, tot, t, t/nb_call, msg, nb_call, nb_apply, a)
print ' ... (remaining %i Ops account for %6.2f%%(%.2fs) of the runtime)'\ print ' ... (remaining %i Ops account for %6.2f%%(%.2fs) of the runtime)'\
%(max(0, len(otimes)-n_ops_to_print), %(max(0, len(otimes)-n_ops_to_print),
sum(f for f, t, a, ci, nb_call in otimes[n_ops_to_print:])*100, sum(f for f, t, a, ci, nb_call, nb_op in otimes[n_ops_to_print:])*100,
sum(t for f, t, a, ci, nb_call in otimes[n_ops_to_print:])) sum(t for f, t, a, ci, nb_call, nb_op in otimes[n_ops_to_print:]))
print '(*) Op is running a c implementation' print '(*) Op is running a c implementation'
sop_time={} sop_time={}
sop_call={} sop_call={}
sop_op = {}
sop_c={} #map each op class to Bool. True iff all applies were done in c. sop_c={} #map each op class to Bool. True iff all applies were done in c.
for a,t in op_time.items(): for a,t in op_time.items():
sop_time.setdefault(type(a),0) sop_time.setdefault(type(a),0)
sop_time[type(a)]+=t sop_time[type(a)]+=t
sop_op.setdefault(type(a),0)
sop_op[type(a)]+=1
sop_c.setdefault(type(a),True) sop_c.setdefault(type(a),True)
sop_c[type(a)]=sop_c[type(a)] and op_cimpl.get(a, False) sop_c[type(a)]=sop_c[type(a)] and op_cimpl.get(a, False)
sop_call[type(a)]=sop_call.get(type(a),0)+op_call[a] sop_call[type(a)]=sop_call.get(type(a),0)+op_call[a]
print '\nSingle Op-wise summary: <% of local_time spent on this kind of Op> <cumulative seconds> <self seconds> <time per call> <nb_call> <Op name>' print '\nSingle Op-wise summary: <% of local_time spent on this kind of Op> <cumulative seconds> <self seconds> <time per call> <nb_call> <nb_op> <nb_op> <Op name>'
sotimes = [(t/local_time, t, a, sop_c[a], sop_call[a]) for a, t in sop_time.items()] sotimes = [(t/local_time, t, a, sop_c[a], sop_call[a], sop_op[a]) for a, t in sop_time.items()]
sotimes.sort() sotimes.sort()
sotimes.reverse() sotimes.reverse()
tot=0 tot=0
for f,t,a,ci, nb_call in sotimes[:n_ops_to_print]: for f,t,a,ci, nb_call, nb_op in sotimes[:n_ops_to_print]:
if nb_call == 0: if nb_call == 0:
assert t == 0 assert t == 0
continue continue
...@@ -271,11 +277,11 @@ class ProfileMode(Mode): ...@@ -271,11 +277,11 @@ class ProfileMode(Mode):
msg = '*' msg = '*'
else: else:
msg = ' ' msg = ' '
print ' %4.1f%% %.3fs %.3fs %.2es %s %d %s' % (f*100, tot, t, t/nb_call, msg, nb_call, a) print ' %4.1f%% %.3fs %.3fs %.2es %s %d %d %s' % (f*100, tot, t, t/nb_call, msg, nb_call, nb_op, a)
print ' ... (remaining %i Ops account for %.2f%%(%.2fs) of the runtime)'\ print ' ... (remaining %i Ops account for %.2f%%(%.2fs) of the runtime)'\
%(max(0, len(sotimes)-n_ops_to_print), %(max(0, len(sotimes)-n_ops_to_print),
sum(f for f, t, a, ci, nb_call in sotimes[n_ops_to_print:])*100, sum(f for f, t, a, ci, nb_call, nb_op in sotimes[n_ops_to_print:])*100,
sum(t for f, t, a, ci, nb_call in sotimes[n_ops_to_print:])) sum(t for f, t, a, ci, nb_call, nb_op in sotimes[n_ops_to_print:]))
print '(*) Op is running a c implementation' print '(*) Op is running a c implementation'
......
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