EngineX-Iluvatar/enginex-mr_series-sherpa-onnx
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Begin to support CTC models (#119)

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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.
This commit is contained in:
Fangjun Kuang
2023-04-07 23:11:34 +08:00
committed by GitHub
parent 9ac747248b
commit 80060c276d
40 changed files with 1244 additions and 60 deletions
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29
sherpa-onnx/csrc/transpose.cc
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@@ -17,8 +17,8 @@ Ort::Value Transpose01(OrtAllocator *allocator, const Ort::Value *v) {
assert(shape.size() == 3);
std::array<int64_t, 3> ans_shape{shape[1], shape[0], shape[2]};
Ort::Value ans = Ort::Value::CreateTensor<float>(allocator, ans_shape.data(),
ans_shape.size());
Ort::Value ans = Ort::Value::CreateTensor<T>(allocator, ans_shape.data(),
ans_shape.size());
T *dst = ans.GetTensorMutableData<T>();
auto plane_offset = shape[1] * shape[2];
@@ -35,7 +35,32 @@ Ort::Value Transpose01(OrtAllocator *allocator, const Ort::Value *v) {
return ans;
}
template <typename T /*= float*/>
Ort::Value Transpose12(OrtAllocator *allocator, const Ort::Value *v) {
std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
assert(shape.size() == 3);
std::array<int64_t, 3> ans_shape{shape[0], shape[2], shape[1]};
Ort::Value ans = Ort::Value::CreateTensor<T>(allocator, ans_shape.data(),
ans_shape.size());
T *dst = ans.GetTensorMutableData<T>();
auto row_stride = shape[2];
for (int64_t b = 0; b != ans_shape[0]; ++b) {
const T *src = v->GetTensorData<T>() + b * shape[1] * shape[2];
for (int64_t i = 0; i != ans_shape[1]; ++i) {
for (int64_t k = 0; k != ans_shape[2]; ++k, ++dst) {
*dst = (src + k * row_stride)[i];
}
}
}
return ans;
}
template Ort::Value Transpose01<float>(OrtAllocator *allocator,
const Ort::Value *v);
template Ort::Value Transpose12<float>(OrtAllocator *allocator,
const Ort::Value *v);
} // namespace sherpa_onnx