32 lines
982 B
C
32 lines
982 B
C
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// sherpa-onnx/csrc/pad-sequence.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_PAD_SEQUENCE_H_
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#define SHERPA_ONNX_CSRC_PAD_SEQUENCE_H_
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#include <vector>
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#include "onnxruntime_cxx_api.h" // NOLINT
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namespace sherpa_onnx {
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/** Similar to torch.nn.utils.rnn.pad_sequence but it supports only
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* batch_first=true.
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*
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* @param allocator
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* @param values A list of 2-D tensors. Each tensor's second dimension
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* must be the same and the data type of each tensor should
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* be float.
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* @param padding_value Value used for padding. For log-fbank, you usually use
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* -23.025850929940457f as the padding value.
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*
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* @return Return a 3-D tensor of shape (B, max_T, C).
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*/
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Ort::Value PadSequence(OrtAllocator *allocator,
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const std::vector<const Ort::Value *> &values,
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float padding_value);
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_PAD_SEQUENCE_H_
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