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Skip logging the input tensors to the loss block. #64

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Merged
merged 1 commit into from
Dec 3, 2019
Merged

Skip logging the input tensors to the loss block. #64

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5 changes: 3 additions & 2 deletions smdebug/mxnet/hook.py
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Original file line number Diff line number Diff line change
Expand Up @@ -154,8 +154,9 @@ def forward_hook(self, block, inputs, outputs):
# This overwhelms the logs; turn back on if you really need it
# logger.debug("Processing the global step {0} for block {1}".format(self.step, block_name))

# Output input tensor
self._write_inputs(block_name, inputs)
# Output input tensor if it is not a loss block
if isinstance(block, mx.gluon.loss.Loss) is False:
self._write_inputs(block_name, inputs)

# Output output tensors
self._write_outputs(block_name, outputs)
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3 changes: 3 additions & 0 deletions tests/mxnet/test_hook_loss_collection.py
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Expand Up @@ -33,6 +33,9 @@ def test_loss_collection_default():
loss_val = loss_tensor.value(step_num=1)
assert len(loss_val) > 0

# Assert that we are not logging the inputs to loss block.
input_loss_tensors = tr.tensor_names(regex=".*loss._input*")
assert len(input_loss_tensors) == 0
shutil.rmtree(out_dir)


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