You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Paddle/paddle/fluid/operators/math/cos_sim_functor.cu

65 lines
2.4 KiB

/* Copyright (c) 2016 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 "paddle/fluid/operators/math/cos_sim_functor.h"
#include "paddle/fluid/platform/cuda_primitives.h"
namespace paddle {
namespace operators {
namespace math {
template <typename T>
__global__ void CosSimDyKernel(const T* x_norm, const T* y_norm, const T* x,
const T* y, const T* z, const T* dz,
const size_t rows, const size_t cols, T* dy) {
int grid_size = blockDim.x * gridDim.x;
T y_norm_data = y_norm[0];
for (int row_id = blockIdx.x * blockDim.x + threadIdx.x; row_id < rows;
row_id += grid_size) {
T xy_norm_prod = x_norm[row_id] * y_norm_data;
T dz_data = dz[row_id];
T z_data = z[row_id];
const T* x_data = x + cols * row_id;
T reciprocal_xy_norm_prod = 1 / xy_norm_prod;
T y_norm_square = y_norm_data * y_norm_data;
T reciprocal_y_norm_square = 1 / y_norm_square;
for (size_t i = 0; i < cols; ++i) {
T dy_data = dz_data * (x_data[i] * reciprocal_xy_norm_prod -
z_data * y[i] * reciprocal_y_norm_square);
platform::CudaAtomicAdd(dy + i, dy_data);
}
}
}
template <typename T>
struct CosSimDyFunctor<platform::CUDADeviceContext, T> {
void operator()(const platform::CUDADeviceContext& ctx, const T* x_norm,
const T* y_norm, const T* x, const T* y, const T* z,
const T* dz, const size_t rows, const size_t cols,
T* dy) const {
const int block_size = 512;
dim3 threads(block_size, 1);
dim3 grid(1, (rows + block_size - 1) / block_size);
CosSimDyKernel<T><<<grid, threads, 0, ctx.stream()>>>(
x_norm, y_norm, x, y, z, dz, rows, cols, dy);
}
};
template struct CosSimDyFunctor<platform::CUDADeviceContext, float>;
template struct CosSimDyFunctor<platform::CUDADeviceContext, double>;
} // namespace math
} // namespace operators
} // namespace paddle