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refine gpu kernel config for Paddle #28085

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merged 5 commits into from
Oct 20, 2020
Merged

refine gpu kernel config for Paddle #28085

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246287c
refine gpu kernel config for Paddle
wangchaochaohu Oct 19, 2020
2c5144f
refine the config
wangchaochaohu Oct 19, 2020
ee39c33
refine the code
wangchaochaohu Oct 19, 2020
710a560
refine the code
wangchaochaohu Oct 19, 2020
80a9762
refine the code
wangchaochaohu Oct 19, 2020
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16 changes: 8 additions & 8 deletions paddle/fluid/operators/bce_loss_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@ class BCELossCUDAKernel : public framework::OpKernel<T> {
auto x_numel = x->numel();

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(x_numel, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), x_numel);

Tensor x_cpu;
framework::TensorCopy(*x, platform::CPUPlace(), &x_cpu);
Expand All @@ -89,9 +89,9 @@ class BCELossCUDAKernel : public framework::OpKernel<T> {

auto& dev_ctx = ctx.cuda_device_context();

GPUBCELossForward<
T><<<config.blocks, config.threads, 0, dev_ctx.stream()>>>(
x_data, labels->data<T>(), out_data, x_numel);
GPUBCELossForward<T><<<config.block_per_grid, config.thread_per_block, 0,
dev_ctx.stream()>>>(x_data, labels->data<T>(),
out_data, x_numel);
}
};

Expand All @@ -106,12 +106,12 @@ class BCELossGradCUDAKernel : public framework::OpKernel<T> {
auto dx_data = dx->mutable_data<T>(ctx.GetPlace());

int x_numel = x->numel();
platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(x_numel, ctx);
auto& dev_ctx = ctx.cuda_device_context();
platform::GpuLaunchConfig config =
platform::GetGpuLaunchConfig1D(dev_ctx, x_numel);

GPUBCELossBackward<
T><<<config.blocks, config.threads, 0, dev_ctx.stream()>>>(
GPUBCELossBackward<T><<<config.block_per_grid, config.thread_per_block, 0,
dev_ctx.stream()>>>(
x->data<T>(), labels->data<T>(), dout->data<T>(), dx_data, x_numel);
}
};
Expand Down
30 changes: 18 additions & 12 deletions paddle/fluid/operators/bilateral_slice_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -165,10 +165,11 @@ class BilateralSliceOpCUDAKernel : public framework::OpKernel<T> {
int total_count = batch_size * h * w * output_dims[1];

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(total_count, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), total_count);

BilateralSliceCudaForwardKernel<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
BilateralSliceCudaForwardKernel<
T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
output_data, grid_data, guide_data, input_data, grid_sizes, has_offset,
total_count, output_dims[1]);
}
Expand Down Expand Up @@ -472,24 +473,29 @@ class BilateralSliceGradOpCUDAKernel : public framework::OpKernel<T> {
grid_sizes.input_chans = input_chans;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(grid_count, ctx, 512);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), grid_count);

BilateralSliceCudaGridGradKernel<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
BilateralSliceCudaGridGradKernel<
T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
grid_grad_data, output_grad_data, guide_data, input_data, grid_sizes,
has_offset, grid_count, output_chans);

config = platform::getGpuLaunchConfig(guide_count, ctx, 512);
config =
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), guide_count);

BilateralSliceCudaGuideGradKernel<T><<<
config.blocks, config.threads, 0, ctx.cuda_device_context().stream()>>>(
BilateralSliceCudaGuideGradKernel<
T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
guide_grad_data, output_grad_data, grid_data, guide_data, input_data,
grid_sizes, has_offset, guide_count, output_chans);

config = platform::getGpuLaunchConfig(input_count, ctx, 512);
config =
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), input_count);

BilateralSliceCudaInputGradKernel<T><<<
config.blocks, config.threads, 0, ctx.cuda_device_context().stream()>>>(
BilateralSliceCudaInputGradKernel<
T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
input_grad_data, output_grad_data, grid_data, guide_data, grid_sizes,
has_offset, input_count, output_chans);
}
Expand Down
2 changes: 1 addition & 1 deletion paddle/fluid/operators/cumsum_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ limitations under the License. */
#include <thrust/reverse.h>
#include <thrust/scan.h>
#include "paddle/fluid/operators/cum_op.h"
#include "paddle/fluid/platform/gpu_launch_param_config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"

using Tensor = paddle::framework::Tensor;
using LoDTensor = paddle::framework::LoDTensor;
Expand Down
42 changes: 22 additions & 20 deletions paddle/fluid/operators/interpolate_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -887,10 +887,10 @@ static void Interpolate1DCUDAFwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("linear" == interp_method) {
KeLinearInterpFw<T><<<config.blocks, config.threads, 0,
KeLinearInterpFw<T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
input_data, in_w, in_cw, output_data, out_w, n, out_cw, c, ratio_w,
align_corners, align_mode, data_layout);
Expand Down Expand Up @@ -981,21 +981,22 @@ static void Interpolate2DCUDAFwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_chw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("nearest" == interp_method) {
KeNearestNeighborInterpFw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
KeNearestNeighborInterpFw<
T><<<config.block_per_grid, config.thread_per_block, 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><<<config.blocks, config.threads, 0,
KeBilinearInterpFw<T><<<config.block_per_grid, config.thread_per_block, 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);
} else if ("bicubic" == interp_method) {
KeBicubicInterpFw<
T><<<config.blocks, 512, 0, ctx.cuda_device_context().stream()>>>(
KeBicubicInterpFw<T><<<config.block_per_grid, 512, 0,
ctx.cuda_device_context().stream()>>>(
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这个有线程数调整，最好用op benchmark测下对OP性能的影响。

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这里和原来的逻辑是一致的

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那这个逻辑有些奇怪，而且，可以改成1024？

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);
}
Expand Down Expand Up @@ -1097,10 +1098,10 @@ static void Interpolate3DCUDAFwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cdhw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("trilinear" == interp_method) {
KeTrilinearInterpFw<T><<<config.blocks, config.threads, 0,
KeTrilinearInterpFw<T><<<config.block_per_grid, config.thread_per_block, 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,
Expand Down Expand Up @@ -1176,10 +1177,10 @@ static void Interpolate1DCUDABwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("linear" == interp_method) {
KeLinearInterpBw<T><<<config.blocks, config.threads, 0,
KeLinearInterpBw<T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
input_grad_data, in_w, in_cw, output_grad_data, out_w, n, out_cw, c,
ratio_w, align_corners, align_mode, data_layout);
Expand Down Expand Up @@ -1267,22 +1268,23 @@ static void Interpolate2DCUDABwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_chw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("nearest" == interp_method) {
KeNearestNeighborInterpBw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
KeNearestNeighborInterpBw<
T><<<config.block_per_grid, config.thread_per_block, 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><<<config.blocks, config.threads, 0,
KeBilinearInterpBw<T><<<config.block_per_grid, config.thread_per_block, 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);
} else if ("bicubic" == interp_method) {
KeBicubicInterpBw<
T><<<config.blocks, 512, 0, ctx.cuda_device_context().stream()>>>(
KeBicubicInterpBw<T><<<config.block_per_grid, 512, 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);
}
Expand Down Expand Up @@ -1378,10 +1380,10 @@ static void Interpolate3DCUDABwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cdhw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("trilinear" == interp_method) {
KeTrilinearInterpBw<T><<<config.blocks, config.threads, 0,
KeTrilinearInterpBw<T><<<config.block_per_grid, config.thread_per_block, 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,
Expand Down
42 changes: 22 additions & 20 deletions paddle/fluid/operators/interpolate_v2_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -899,10 +899,10 @@ static void Interpolate1DCUDAFwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("linear" == interp_method) {
KeLinearInterpFw<T><<<config.blocks, config.threads, 0,
KeLinearInterpFw<T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
input_data, in_w, in_cw, output_data, out_w, n, out_cw, c, ratio_w,
align_corners, align_mode, data_layout);
Expand Down Expand Up @@ -1018,21 +1018,22 @@ static void Interpolate2DCUDAFwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_chw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("nearest" == interp_method) {
KeNearestNeighborInterpFw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
KeNearestNeighborInterpFw<
T><<<config.block_per_grid, config.thread_per_block, 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><<<config.blocks, config.threads, 0,
KeBilinearInterpFw<T><<<config.block_per_grid, config.thread_per_block, 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);
} else if ("bicubic" == interp_method) {
KeBicubicInterpFw<
T><<<config.blocks, 512, 0, ctx.cuda_device_context().stream()>>>(
KeBicubicInterpFw<T><<<config.block_per_grid, 512, 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);
}
Expand Down Expand Up @@ -1167,10 +1168,10 @@ static void Interpolate3DCUDAFwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cdhw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("trilinear" == interp_method) {
KeTrilinearInterpFw<T><<<config.blocks, config.threads, 0,
KeTrilinearInterpFw<T><<<config.block_per_grid, config.thread_per_block, 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,
Expand Down Expand Up @@ -1259,10 +1260,10 @@ static void Interpolate1DCUDABwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("linear" == interp_method) {
KeLinearInterpBw<T><<<config.blocks, config.threads, 0,
KeLinearInterpBw<T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
input_grad_data, in_w, in_cw, output_grad_data, out_w, n, out_cw, c,
ratio_w, align_corners, align_mode, data_layout);
Expand Down Expand Up @@ -1376,22 +1377,23 @@ static void Interpolate2DCUDABwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_chw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("nearest" == interp_method) {
KeNearestNeighborInterpBw<T><<<config.blocks, config.threads, 0,
ctx.cuda_device_context().stream()>>>(
KeNearestNeighborInterpBw<
T><<<config.block_per_grid, config.thread_per_block, 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><<<config.blocks, config.threads, 0,
KeBilinearInterpBw<T><<<config.block_per_grid, config.thread_per_block, 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);
} else if ("bicubic" == interp_method) {
KeBicubicInterpBw<
T><<<config.blocks, 512, 0, ctx.cuda_device_context().stream()>>>(
KeBicubicInterpBw<T><<<config.block_per_grid, 512, 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);
}
Expand Down Expand Up @@ -1520,10 +1522,10 @@ static void Interpolate3DCUDABwd(const framework::ExecutionContext& ctx,
int pixelNum = n * out_cdhw;

platform::GpuLaunchConfig config =
platform::getGpuLaunchConfig(pixelNum, ctx);
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), pixelNum);

if ("trilinear" == interp_method) {
KeTrilinearInterpBw<T><<<config.blocks, config.threads, 0,
KeTrilinearInterpBw<T><<<config.block_per_grid, config.thread_per_block, 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,
Expand Down
2 changes: 1 addition & 1 deletion paddle/fluid/operators/math/segment_pooling.cu
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ limitations under the License. */
#include "paddle/fluid/operators/math/math_function.h"
#include "paddle/fluid/operators/math/segment_pooling.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/gpu_launch_param_config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"

namespace paddle {
namespace operators {
Expand Down
20 changes: 12 additions & 8 deletions paddle/fluid/operators/mish_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -87,8 +87,9 @@ class MishCUDAKernel : public framework::OpKernel<T> {

const int numel = x->numel();

platform::GpuLaunchConfig config = platform::getGpuLaunchConfig(numel, ctx);
KeMishFw<T><<<config.blocks, config.threads, 0,
platform::GpuLaunchConfig config =
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), numel);
KeMishFw<T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(x_data, out_data, numel,
threshold);
}
Expand All @@ -108,8 +109,9 @@ class MishFP32CUDAKernel : public framework::OpKernel<float> {

const int numel = x->numel();

platform::GpuLaunchConfig config = platform::getGpuLaunchConfig(numel, ctx);
KeMishFwFP32<<<config.blocks, config.threads, 0,
platform::GpuLaunchConfig config =
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), numel);
KeMishFwFP32<<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(x_data, out_data,
numel, threshold);
}
Expand All @@ -131,8 +133,9 @@ class MishGradCUDAKernel : public framework::OpKernel<T> {

const int numel = x->numel();

platform::GpuLaunchConfig config = platform::getGpuLaunchConfig(numel, ctx);
KeMishBw<T><<<config.blocks, config.threads, 0,
platform::GpuLaunchConfig config =
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), numel);
KeMishBw<T><<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
x_data, dout_data, dx_data, numel, threshold);
}
Expand All @@ -154,8 +157,9 @@ class MishGradFP32CUDAKernel : public framework::OpKernel<float> {

const int numel = x->numel();

platform::GpuLaunchConfig config = platform::getGpuLaunchConfig(numel, ctx);
KeMishBwFP32<<<config.blocks, config.threads, 0,
platform::GpuLaunchConfig config =
platform::GetGpuLaunchConfig1D(ctx.cuda_device_context(), numel);
KeMishBwFP32<<<config.block_per_grid, config.thread_per_block, 0,
ctx.cuda_device_context().stream()>>>(
x_data, dout_data, dx_data, numel, threshold);
}
Expand Down
2 changes: 1 addition & 1 deletion paddle/fluid/operators/mv_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. */

#include "paddle/fluid/operators/mv_op.h"
#include "paddle/fluid/platform/gpu_launch_param_config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"

namespace paddle {
namespace operators {
Expand Down
2 changes: 1 addition & 1 deletion paddle/fluid/operators/segment_pool_op.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ limitations under the License. */
#include "paddle/fluid/operators/gather.cu.h"
#include "paddle/fluid/operators/segment_pool_op.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/gpu_launch_param_config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"

namespace ops = paddle::operators;
REGISTER_OP_CUDA_KERNEL(
Expand Down
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