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Fix TFEncoderDecoderModelTest - Pytorch device (#15979)

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* fix device

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2022-03-08 13:37:20 +01:00
committed by GitHub
parent f5a080dd10
commit 72983303c5
1 changed files with 5 additions and 2 deletions
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7
tests/encoder_decoder/test_modeling_tf_encoder_decoder.py
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@@ -323,6 +323,9 @@ class TFEncoderDecoderMixin:
if "labels" in pt_inputs:
pt_inputs["labels"] = pt_inputs["labels"].type(torch.LongTensor)
# send pytorch inputs to the correct device
pt_inputs = {k: v.to(device=torch_device) if isinstance(v, torch.Tensor) else v for k, v in pt_inputs.items()}
with torch.no_grad():
pt_outputs = pt_model(**pt_inputs).to_tuple()
@@ -333,7 +336,7 @@ class TFEncoderDecoderMixin:
self.assertEqual(len(tf_outputs), len(pt_outputs), "Output lengths differ between TF and PyTorch")
for tf_output, pt_output in zip(tf_outputs, pt_outputs):
self.assert_almost_equals(tf_output.numpy(), pt_output.numpy(), 1e-3)
self.assert_almost_equals(tf_output.numpy(), pt_output.detach().to("cpu").numpy(), 1e-3)
# PT -> TF
with tempfile.TemporaryDirectory() as encoder_tmp_dirname, tempfile.TemporaryDirectory() as decoder_tmp_dirname:
@@ -353,7 +356,7 @@ class TFEncoderDecoderMixin:
self.assertEqual(len(tf_outputs_loaded), len(pt_outputs), "Output lengths differ between TF and PyTorch")
for tf_output_loaded, pt_output in zip(tf_outputs_loaded, pt_outputs):
self.assert_almost_equals(tf_output_loaded.numpy(), pt_output.numpy(), 1e-3)
self.assert_almost_equals(tf_output_loaded.numpy(), pt_output.detach().to("cpu").numpy(), 1e-3)
def check_equivalence_pt_to_tf(self, config, decoder_config, inputs_dict):