未验证 提交 2b1386b2 编写于 作者: L LielinJiang 提交者: GitHub

optimize performance of interpolate op (#22436)

* optimize interpolate op, test=develop
上级 77dd0d97
......@@ -9,9 +9,11 @@
See the License for the specific language governing permissions and
limitations under the License. */
#include <algorithm>
#include <string>
#include "paddle/fluid/operators/interpolate_op.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace paddle {
namespace operators {
......@@ -586,17 +588,18 @@ static void Interpolate2DCUDAFwd(const framework::ExecutionContext& ctx,
int out_chw = c * out_hw;
int pixelNum = n * out_chw;
int grid_dim = (pixelNum + 512 - 1) / 512;
grid_dim = grid_dim > 8 ? 8 : grid_dim;
platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
if ("nearest" == interp_method) {
KeNearestNeighborInterpFw<
T><<<grid_dim, 512, 0, ctx.cuda_device_context().stream()>>>(
KeNearestNeighborInterpFw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
input_data, in_h, in_w, n, in_chw, output_data, out_h, out_w, n,
out_chw, c, ratio_h, ratio_w, align_corners, data_layout);
} else if ("bilinear" == interp_method) {
KeBilinearInterpFw<
T><<<grid_dim, 512, 0, ctx.cuda_device_context().stream()>>>(
KeBilinearInterpFw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
input_data, in_h, in_w, n, in_chw, output_data, out_h, out_w, n,
out_chw, c, ratio_h, ratio_w, align_corners, align_mode, data_layout);
}
......@@ -696,12 +699,13 @@ static void Interpolate3DCUDAFwd(const framework::ExecutionContext& ctx,
int out_cdhw = c * out_dhw;
int pixelNum = n * out_cdhw;
int grid_dim = (pixelNum + 512 - 1) / 512;
grid_dim = grid_dim > 8 ? 8 : grid_dim;
platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
if ("trilinear" == interp_method) {
KeTrilinearInterpFw<
T><<<grid_dim, 512, 0, ctx.cuda_device_context().stream()>>>(
KeTrilinearInterpFw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
input_data, in_d, in_h, in_w, n, in_cdhw, output_data, out_d, out_h,
out_w, n, out_cdhw, c, ratio_d, ratio_h, ratio_w, align_corners,
align_mode, data_layout);
......@@ -787,17 +791,18 @@ static void Interpolate2DCUDABwd(const framework::ExecutionContext& ctx,
int out_chw = c * out_hw;
int pixelNum = n * out_chw;
int grid_dim = (pixelNum + 512 - 1) / 512;
grid_dim = grid_dim > 8 ? 8 : grid_dim;
platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
if ("nearest" == interp_method) {
KeNearestNeighborInterpBw<
T><<<grid_dim, 512, 0, ctx.cuda_device_context().stream()>>>(
KeNearestNeighborInterpBw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
input_grad_data, in_h, in_w, n, in_chw, output_grad_data, out_h, out_w,
n, out_chw, c, ratio_h, ratio_w, align_corners, data_layout);
} else if ("bilinear" == interp_method) {
KeBilinearInterpBw<
T><<<grid_dim, 512, 0, ctx.cuda_device_context().stream()>>>(
KeBilinearInterpBw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
input_grad_data, in_h, in_w, n, in_chw, output_grad_data, out_h, out_w,
n, out_chw, c, ratio_h, ratio_w, align_corners, align_mode,
data_layout);
......@@ -892,12 +897,13 @@ static void Interpolate3DCUDABwd(const framework::ExecutionContext& ctx,
int out_cdhw = c * out_dhw;
int pixelNum = n * out_cdhw;
int grid_dim = (pixelNum + 512 - 1) / 512;
grid_dim = grid_dim > 8 ? 8 : grid_dim;
platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
if ("trilinear" == interp_method) {
KeTrilinearInterpBw<
T><<<grid_dim, 512, 0, ctx.cuda_device_context().stream()>>>(
KeTrilinearInterpBw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
input_grad_data, in_d, in_h, in_w, n, in_cdhw, output_grad_data, out_d,
out_h, out_w, n, out_cdhw, c, ratio_d, ratio_h, ratio_w, align_corners,
align_mode, data_layout);
......
/* Copyright (c) 2020 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
#include <algorithm>
#include "paddle/fluid/platform/cuda_primitives.h"
namespace paddle {
namespace platform {
struct GpuLaunchConfig {
// Number of threads per block.
int threads;
// Number of blocks for GPU kernel launch.
int blocks;
GpuLaunchConfig(int threads, int blocks) : threads(threads), blocks(blocks) {}
};
inline GpuLaunchConfig getGpuLaunchConfig(
const int N, const framework::ExecutionContext& ctx) {
int threads =
std::min(1024, ctx.cuda_device_context().GetMaxThreadsPerBlock());
int physical_thread_count =
std::min(ctx.cuda_device_context().GetMaxPhysicalThreadCount(), N);
int blocks = std::min((physical_thread_count + threads - 1) / threads,
ctx.cuda_device_context().GetSMCount());
GpuLaunchConfig config(threads, blocks);
return config;
}
} // namespace platform
} // namespace paddle
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