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add print_log to memory_optimize #8831

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20 changes: 13 additions & 7 deletions python/paddle/fluid/memory_optimization_transpiler.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,8 @@

sub_block_ops = ["while", "while_grad", "parallel_do", "parallel_do_grad"]

PRINT_LOG = False


class ControlFlowGraph(object):
def __init__(self, Program, ops, forward_num, skip_opt):
Expand Down Expand Up @@ -171,12 +173,14 @@ def check_var_validity(block_desc, x, is_forward):
# TODO(qijun): actually, we should compare dtype_to_size[x_dtype]
# and dtype_to_size[cache_dtype]
if x_dtype == cache_dtype:
print(("Hit Cache !!!! cache pool index "
"is %d, var name is %s, "
"cached var name is %s, "
"var shape is %s ") %
(index, x, cache_var,
str(cache_shape)))
if PRINT_LOG:
print(
("Hit Cache !!!! cache pool index "
"is %d, var name is %s, "
"cached var name is %s, "
"var shape is %s ") %
(index, x, cache_var,
str(cache_shape)))
self.pool.pop(index)
if x == cache_var:
break
Expand Down Expand Up @@ -277,7 +281,9 @@ def _get_cfgs(input_program):
return cfgs


def memory_optimize(input_program):
def memory_optimize(input_program, print_log=False):
global PRINT_LOG
PRINT_LOG = print_log
cfgs = _get_cfgs(input_program)
for cfg in cfgs:
cfg.memory_optimize()
Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@
sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.01)
sgd_optimizer.minimize(avg_cost)

fluid.memory_optimize(fluid.default_main_program())
fluid.memory_optimize(fluid.default_main_program(), print_log=True)

BATCH_SIZE = 200

Expand Down