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Fix input/output shapes for exported samples #5

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Jul 23, 2021
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Fix input/output shapes for exported samples #5

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6 changes: 3 additions & 3 deletions examples/pytorch/question-answering/sparseml_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -217,9 +217,9 @@ def export_model(model, dataloader, output_dir, num_exported_samples):
input_names = list(sample_batch.keys())
output_names = [o.name for o in sess.get_outputs()]
for input_vals in zip(*sample_batch.values()):
input_feed = {k: v.reshape(1, -1).numpy() for k, v in zip(input_names, input_vals)}
output_vals = sess.run(output_names, input_feed)
output_dict = {name: val for name, val in zip(output_names, output_vals)}
input_feed = {k: v.numpy() for k, v in zip(input_names, input_vals)}
output_vals = sess.run(output_names, {k: input_feed[k].reshape(1, -1) for k in input_feed})
output_dict = {name: numpy.squeeze(val) for name, val in zip(output_names, output_vals)}
file_idx = f"{num_samples}".zfill(4)
numpy.savez(f"{sample_inputs}/inp-{file_idx}.npz", **input_feed)
numpy.savez(f"{sample_outputs}/out-{file_idx}.npz", **output_dict)
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