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- // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
- //
- // Licensed under the Apache License, Version 2.0 (the "License");
- // you may not use this file except in compliance with the License.
- // You may obtain a copy of the License at
- //
- // http://www.apache.org/licenses/LICENSE-2.0
- //
- // Unless required by applicable law or agreed to in writing, software
- // distributed under the License is distributed on an "AS IS" BASIS,
- // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- // See the License for the specific language governing permissions and
- // limitations under the License.
- #include "ultra_infer/runtime/backends/poros/poros_backend.h"
- #ifdef WITH_GPU
- #include <cuda_runtime_api.h>
- #endif
- namespace ultra_infer {
- std::string AtType2String(const at::ScalarType &dtype) {
- std::string out;
- switch (dtype) {
- case at::kByte:
- out = "at::kByte";
- break;
- case at::kChar:
- out = "at::kChar";
- break;
- case at::kShort:
- out = "at::kShort";
- break;
- case at::kInt:
- out = "at::kInt";
- break;
- case at::kLong:
- out = "at::kLong";
- break;
- case at::kHalf:
- out = "at::kHalf";
- break;
- case at::kFloat:
- out = "at::kFloat";
- break;
- case at::kDouble:
- out = "at::kDouble";
- break;
- default:
- out = "at::UNKNOWN";
- }
- return out;
- }
- at::ScalarType GetPorosDtype(const FDDataType &fd_dtype) {
- if (fd_dtype == FDDataType::FP32) {
- return at::kFloat;
- } else if (fd_dtype == FDDataType::FP64) {
- return at::kDouble;
- } else if (fd_dtype == FDDataType::INT32) {
- return at::kInt;
- } else if (fd_dtype == FDDataType::INT64) {
- return at::kLong;
- }
- FDERROR << "Unrecognized fastdeply data type:" << Str(fd_dtype) << "."
- << std::endl;
- return at::kFloat;
- }
- FDDataType GetFdDtype(const at::ScalarType &poros_dtype) {
- if (poros_dtype == at::kFloat) {
- return FDDataType::FP32;
- } else if (poros_dtype == at::kDouble) {
- return FDDataType::FP64;
- } else if (poros_dtype == at::kInt) {
- return FDDataType::INT32;
- } else if (poros_dtype == at::kLong) {
- return FDDataType::INT64;
- }
- FDERROR << "Unrecognized poros data type:" << AtType2String(poros_dtype)
- << "." << std::endl;
- return FDDataType::FP32;
- }
- at::Tensor CreatePorosValue(FDTensor &tensor, bool is_backend_cuda) {
- FDASSERT(tensor.device == Device::GPU || tensor.device == Device::CPU,
- "Only support tensor which device is CPU or GPU for PorosBackend.");
- auto data_type = GetPorosDtype(tensor.dtype);
- size_t numel = tensor.Numel();
- at::Tensor poros_value;
- if (is_backend_cuda) {
- poros_value = std::move(
- at::empty(tensor.shape, {at::kCUDA}).to(data_type).contiguous());
- } else {
- poros_value = std::move(
- at::empty(tensor.shape, {at::kCPU}).to(data_type).contiguous());
- }
- if (data_type == at::kFloat) {
- if (is_backend_cuda) {
- cudaMemcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(float), cudaMemcpyHostToDevice);
- } else {
- memcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(float));
- }
- } else if (data_type == at::kInt) {
- if (is_backend_cuda) {
- cudaMemcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(int32_t), cudaMemcpyHostToDevice);
- } else {
- memcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(int32_t));
- }
- } else if (data_type == at::kLong) {
- if (is_backend_cuda) {
- cudaMemcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(int64_t), cudaMemcpyHostToDevice);
- } else {
- memcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(int64_t));
- }
- } else if (data_type == at::kDouble) {
- if (is_backend_cuda) {
- cudaMemcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(double), cudaMemcpyHostToDevice);
- } else {
- memcpy(poros_value.data_ptr(), static_cast<void *>(tensor.Data()),
- numel * sizeof(double));
- }
- } else {
- FDASSERT(false, "Unrecognized data type while calling "
- "PorosBackend::CreatePorosValue().");
- }
- return poros_value;
- }
- void CopyTensorToCpu(const at::Tensor &tensor, FDTensor *fd_tensor,
- bool is_backend_cuda) {
- const auto data_type = tensor.scalar_type();
- std::vector<int64_t> shape;
- auto sizes = tensor.sizes();
- for (size_t i = 0; i < sizes.size(); i++) {
- shape.push_back(sizes[i]);
- }
- auto fd_dtype = GetFdDtype(data_type);
- fd_tensor->Resize(shape, fd_dtype);
- size_t numel = tensor.numel();
- // at::Tensor -> FDTensor
- if (data_type == at::kFloat) {
- if (is_backend_cuda) {
- cudaMemcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(float),
- cudaMemcpyDeviceToHost);
- } else {
- memcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(float));
- }
- return;
- } else if (data_type == at::kInt) {
- if (is_backend_cuda) {
- cudaMemcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(int32_t),
- cudaMemcpyDeviceToHost);
- } else {
- memcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(int32_t));
- }
- return;
- } else if (data_type == at::kLong) {
- if (is_backend_cuda) {
- cudaMemcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(int64_t),
- cudaMemcpyDeviceToHost);
- } else {
- memcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(int64_t));
- }
- return;
- } else if (data_type == at::kDouble) {
- if (is_backend_cuda) {
- cudaMemcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(double),
- cudaMemcpyDeviceToHost);
- } else {
- memcpy(fd_tensor->Data(), tensor.data_ptr(), numel * sizeof(double));
- }
- return;
- }
- }
- } // namespace ultra_infer
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