wehub-resource-sync
47 lines
1.5 KiB
Plaintext
47 lines
1.5 KiB
Plaintext
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/extension.h"
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#define CHECK_GPU_INPUT(x) PD_CHECK(x.is_gpu(), #x " must be a GPU Tensor.")
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template <typename T>
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__global__ void globalAvgPool(const T *input,
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T *output,
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const int32_t h,
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const int32_t w) {
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int32_t idx = blockIdx.x * blockDim.x + threadIdx.x;
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int32_t len = h * w;
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const T *fmIn = input + idx * len;
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T *fmOut = output + idx;
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T sum = 0;
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int32_t i = 0;
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while (i < len) {
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sum += *fmIn++;
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++i;
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}
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fmOut[0] = sum / (T)len;
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}
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void call_kernel(dim3 gridSize,
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dim3 blockSize,
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size_t share_M,
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const cudaStream_t &stream,
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const float *input,
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float *output,
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const int h,
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const int w) {
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globalAvgPool<<<gridSize, blockSize, share_M, stream>>>(input, output, h, w);
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}
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