80060c276d
Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.
33 lines
964 B
C++
33 lines
964 B
C++
// sherpa-onnx/csrc/transpose.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_TRANSPOSE_H_
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#define SHERPA_ONNX_CSRC_TRANSPOSE_H_
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#include "onnxruntime_cxx_api.h" // NOLINT
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namespace sherpa_onnx {
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/** Transpose a 3-D tensor from shape (B, T, C) to (T, B, C).
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*
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* @param allocator
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* @param v A 3-D tensor of shape (B, T, C). Its dataype is type.
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*
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* @return Return a 3-D tensor of shape (T, B, C). Its datatype is type.
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*/
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template <typename type = float>
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Ort::Value Transpose01(OrtAllocator *allocator, const Ort::Value *v);
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/** Transpose a 3-D tensor from shape (B, T, C) to (B, C, T).
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*
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* @param allocator
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* @param v A 3-D tensor of shape (B, T, C). Its dataype is type.
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*
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* @return Return a 3-D tensor of shape (B, C, T). Its datatype is type.
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*/
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template <typename type = float>
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Ort::Value Transpose12(OrtAllocator *allocator, const Ort::Value *v);
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_TRANSPOSE_H_
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