forked from OSSInnovation/mindspore
fix bert performance test case
This commit is contained in:
parent
669a8969c7
commit
ef7ea3b92d
|
@ -101,12 +101,8 @@ def me_de_train_dataset(sink_mode=False):
|
|||
type_cast_op = C.TypeCast(mstype.int32)
|
||||
new_repeat_count = repeat_count
|
||||
if sink_mode:
|
||||
repeat_count = 30
|
||||
sink_size = 100
|
||||
ori_dataaet_size = ds.get_dataset_size()
|
||||
new_size = sink_size * batch_size
|
||||
ds.set_dataset_size(new_size)
|
||||
new_repeat_count = int(repeat_count * ori_dataaet_size // ds.get_dataset_size())
|
||||
new_repeat_count = 3
|
||||
ds = ds.map(input_columns="masked_lm_ids", operations=type_cast_op)
|
||||
ds = ds.map(input_columns="masked_lm_positions", operations=type_cast_op)
|
||||
ds = ds.map(input_columns="next_sentence_labels", operations=type_cast_op)
|
||||
|
@ -264,7 +260,7 @@ def test_bert_performance():
|
|||
config = get_config(version=version, batch_size=batch_size)
|
||||
netwithloss = BertNetworkWithLoss(config, True)
|
||||
|
||||
lr = BertLearningRate(decay_steps=ds.get_dataset_size()*new_repeat_count,
|
||||
lr = BertLearningRate(decay_steps=sink_size * new_repeat_count,
|
||||
learning_rate=5e-5, end_learning_rate=1e-9,
|
||||
power=10.0, warmup_steps=0)
|
||||
decay_filter = lambda x: 'layernorm' not in x.name.lower() and 'bias' not in x.name.lower()
|
||||
|
@ -302,7 +298,7 @@ def test_bert_performance():
|
|||
else:
|
||||
logger.info("***************** BERT param name is 3 {}".format(name))
|
||||
param.default_input = weight_variable(value.asnumpy().shape)
|
||||
time_monitor_callback = TimeMonitor(ds.get_dataset_size())
|
||||
time_monitor_callback = TimeMonitor(sink_size)
|
||||
model.train(new_repeat_count, ds, callbacks=[time_monitor_callback, callback],
|
||||
dataset_sink_mode=True, sink_size=sink_size)
|
||||
|
||||
|
|
Loading…
Reference in New Issue