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Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@ def __setattr__(self, name, value):
# derived learning rate the to get the final learning rate.
cfg.learning_rate = 0.001
# maximum number of iterations
cfg.max_iter = 20 if fluid.is_compiled_with_cuda() else 2
cfg.max_iter = 20 if fluid.is_compiled_with_cuda() else 1
# Disable mixup in last N iter
cfg.no_mixup_iter = 10 if fluid.is_compiled_with_cuda() else 1
# warm up to learning rate
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2 changes: 1 addition & 1 deletion python/paddle/fluid/tests/unittests/seresnext_net.py
Original file line number Diff line number Diff line change
Expand Up @@ -173,7 +173,7 @@ def optimizer(learning_rate=0.01):
def batch_size(use_device):
if use_device == DeviceType.CUDA:
# Paddle uses 8GB P4 GPU for unittest so we decreased the batch size.
return 8
return 4
return 12


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Original file line number Diff line number Diff line change
Expand Up @@ -159,7 +159,7 @@ def check_network_convergence(self,
train_data = paddle.batch(
paddle.reader.shuffle(
paddle.dataset.conll05.test(), buf_size=8192),
batch_size=16)
batch_size=8)

place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
exe = fluid.Executor(place)
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