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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| // 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 "fastdeploy/function/cuda_cast.h" | ||
|
|
||
| namespace fastdeploy { | ||
|
|
||
| template <typename T_IN, typename T_OUT> | ||
| __global__ void CudaCastKernel(const T_IN* in, T_OUT* out, int edge) { | ||
| int position = blockDim.x * blockIdx.x + threadIdx.x; | ||
| if (position >= edge) return; | ||
| out[position] = (T_OUT)in[position]; | ||
| } | ||
|
|
||
| void CudaCast(const FDTensor& in, FDTensor* out, cudaStream_t stream) { | ||
| int jobs = in.Numel(); | ||
| int threads = 256; | ||
| int blocks = ceil(jobs / (float)threads); | ||
| if (in.dtype == FDDataType::INT64 && out->dtype == FDDataType::INT32) { | ||
| CudaCastKernel<int64_t, int32_t><<<blocks, threads, 0, stream>>>( | ||
| reinterpret_cast<int64_t*>(const_cast<void*>(in.Data())), | ||
| reinterpret_cast<int32_t*>(out->MutableData()), | ||
| jobs); | ||
| } else if (in.dtype == FDDataType::INT32 && out->dtype == FDDataType::INT64) { | ||
| CudaCastKernel<int32_t, int64_t><<<blocks, threads, 0, stream>>>( | ||
| reinterpret_cast<int32_t*>(const_cast<void*>(in.Data())), | ||
| reinterpret_cast<int64_t*>(out->MutableData()), | ||
| jobs); | ||
| } else { | ||
| FDASSERT(false, "CudaCast only support input INT64, output INT32."); | ||
| } | ||
| } | ||
|
|
||
| } // namespace fastdeploy |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,29 @@ | ||
| // 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. | ||
|
|
||
| #pragma once | ||
|
|
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| #include "fastdeploy/core/fd_tensor.h" | ||
|
|
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| namespace fastdeploy { | ||
|
|
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| /** Cast the type of the data in GPU buffer. | ||
| @param in The input tensor. | ||
| @param out The output tensor | ||
| @param stream CUDA stream | ||
| */ | ||
| FASTDEPLOY_DECL void CudaCast(const FDTensor& in, FDTensor* out, | ||
| cudaStream_t stream); | ||
|
|
||
| } // namespace fastdeploy |