Add Streaming zipformer (#50)
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@@ -46,16 +46,74 @@ void PrintModelMetadata(std::ostream &os, const Ort::ModelMetadata &meta_data) {
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}
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}
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Ort::Value Clone(Ort::Value *v) {
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Ort::Value Clone(const Ort::Value *v) {
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auto type_and_shape = v->GetTensorTypeAndShapeInfo();
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std::vector<int64_t> shape = type_and_shape.GetShape();
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auto memory_info =
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Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
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return Ort::Value::CreateTensor(memory_info, v->GetTensorMutableData<float>(),
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type_and_shape.GetElementCount(),
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shape.data(), shape.size());
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switch (type_and_shape.GetElementType()) {
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case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32:
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return Ort::Value::CreateTensor(
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memory_info,
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const_cast<Ort::Value *>(v)->GetTensorMutableData<int32_t>(),
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type_and_shape.GetElementCount(), shape.data(), shape.size());
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case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64:
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return Ort::Value::CreateTensor(
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memory_info,
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const_cast<Ort::Value *>(v)->GetTensorMutableData<int64_t>(),
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type_and_shape.GetElementCount(), shape.data(), shape.size());
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case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT:
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return Ort::Value::CreateTensor(
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memory_info,
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const_cast<Ort::Value *>(v)->GetTensorMutableData<float>(),
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type_and_shape.GetElementCount(), shape.data(), shape.size());
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default:
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fprintf(stderr, "Unsupported type: %d\n",
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static_cast<int32_t>(type_and_shape.GetElementType()));
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exit(-1);
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// unreachable code
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return Ort::Value{nullptr};
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}
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}
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void Print1D(Ort::Value *v) {
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std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
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const float *d = v->GetTensorData<float>();
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for (int32_t i = 0; i != static_cast<int32_t>(shape[0]); ++i) {
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fprintf(stderr, "%.3f ", d[i]);
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}
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fprintf(stderr, "\n");
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}
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void Print2D(Ort::Value *v) {
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std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
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const float *d = v->GetTensorData<float>();
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for (int32_t r = 0; r != static_cast<int32_t>(shape[0]); ++r) {
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for (int32_t c = 0; c != static_cast<int32_t>(shape[1]); ++c, ++d) {
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fprintf(stderr, "%.3f ", *d);
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}
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fprintf(stderr, "\n");
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}
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fprintf(stderr, "\n");
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}
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void Print3D(Ort::Value *v) {
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std::vector<int64_t> shape = v->GetTensorTypeAndShapeInfo().GetShape();
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const float *d = v->GetTensorData<float>();
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for (int32_t p = 0; p != static_cast<int32_t>(shape[0]); ++p) {
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fprintf(stderr, "---plane %d---\n", p);
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for (int32_t r = 0; r != static_cast<int32_t>(shape[1]); ++r) {
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for (int32_t c = 0; c != static_cast<int32_t>(shape[2]); ++c, ++d) {
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fprintf(stderr, "%.3f ", *d);
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}
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fprintf(stderr, "\n");
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}
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}
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fprintf(stderr, "\n");
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}
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} // namespace sherpa_onnx
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