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Export of Openai Whisper with batched prompts #19854

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Apr 3, 2024
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remove looping logic
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shubhambhokare1 committed Mar 29, 2024
commit d225e4d5fecdba0e86c37e15ae8e3ff749cdef06
Original file line number Diff line number Diff line change
Expand Up @@ -363,6 +363,9 @@ def pt_transcription_for_verify_onnx(
prompt_ids = [processor.get_prompt_ids(p) for p in prompts]
pt_transcription = []
pt_outputs = []
# The looping for model.generate is necessary here due to the limitation as per
# https://huggingface.co/docs/transformers/model_doc/whisper#transformers.WhisperForConditionalGeneration.generate.prompt_ids
# prompt_ids input requires a tensor of rank 1
for i in range(batch_size):
inputs["prompt_ids"] = torch.from_numpy(prompt_ids[i])
inputs["input_features"] = input_features_[i].to(device)
Expand Down Expand Up @@ -493,10 +496,8 @@ def verify_onnx(
inputs[name] = np.array([1.0], dtype=ort_to_np[dtype])
else:
inputs[name] = np.array([inputs[name]], dtype=ort_to_np[dtype])
ort_outputs = ort_session.run(None, inputs)[0]
ort_transcription = []
for o in ort_outputs:
ort_transcription.append(processor.batch_decode(o, skip_special_tokens=True)[0])
ort_outputs = ort_session.run(None, inputs)[0][:, 0, :]
ort_transcription = processor.batch_decode(ort_outputs, skip_special_tokens=True)
expected_transcription_options = WhisperHelper.select_transcription_options(batch_size, prompt_mode)

parity = 1
Expand Down
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