Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[hybrid performance] softmax mask fuse upper triangle #33981

Merged
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
107 changes: 107 additions & 0 deletions paddle/fluid/operators/softmax_mask_fuse_upper_triangle_op.cc
Original file line number Diff line number Diff line change
@@ -0,0 +1,107 @@
/* Copyright (c) 2021 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/softmax_mask_fuse_upper_triangle_op.h"
#include "paddle/fluid/framework/generator.h"
#include "paddle/fluid/framework/op_registry.h"
namespace paddle {
namespace operators {

using framework::Tensor;

class SoftmaxMaskFuseUpperTriangleOp : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;

void InferShape(framework::InferShapeContext* ctx) const override {
OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X",
"SoftmaxMaskFuseUpperTriangle");
OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out",
"SoftmaxMaskFuseUpperTriangle");

auto x_dims = ctx->GetInputDim("X");
PADDLE_ENFORCE_EQ(
x_dims.size(), 4,
platform::errors::InvalidArgument("Input x must be in 4D dimension but "
"received the dimension of X is %d",
x_dims.size()));

ctx->SetOutputDim("Out", x_dims);
ctx->ShareLoD("X", "Out");
}
};

class SoftmaxMaskFuseUpperTriangleOpMaker
: public framework::OpProtoAndCheckerMaker {
public:
void Make() override {
AddInput("X",
"The input of softmax_mask_fuse_upper_triangle op, "
"which is the result of matmul(QK)/sqrt(dk).");
AddOutput("Out", "The result of softmax_mask_fuse_upper_triangle op.");

AddComment(R"DOC(
Softmax Mask Fuse Operator.
product = matmul(QK)/sqrt(dk)
output = softmax_mask_fuse_upper_triangle(product)
to get the final output.
)DOC");
}
};

class SoftmaxMaskFuseUpperTriangleOpGrad
: public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;

void InferShape(framework::InferShapeContext* ctx) const override {
OP_INOUT_CHECK(ctx->HasInput(framework::GradVarName("Out")), "Input",
framework::GradVarName("Out"),
"SoftmaxMaskFuseUpperTriangleGrad");

auto out_dims = ctx->GetInputDim(framework::GradVarName("Out"));
ctx->SetOutputDim(framework::GradVarName("X"), out_dims);
ctx->ShareLoD(framework::GradVarName("Out"), framework::GradVarName("X"));
}
};

template <typename T>
class SoftmaxMaskFuseUpperTriangleGradOpMaker
: public framework::SingleGradOpMaker<T> {
public:
using framework::SingleGradOpMaker<T>::SingleGradOpMaker;

protected:
void Apply(GradOpPtr<T> op) const override {
op->SetType("softmax_mask_fuse_upper_triangle_grad");
op->SetInput("Softmax", this->Output("Out"));
op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
op->SetOutput(framework::GradVarName("X"), this->InputGrad("X"));
}
};

} // namespace operators
} // namespace paddle

namespace ops = paddle::operators;
REGISTER_OPERATOR(
softmax_mask_fuse_upper_triangle, ops::SoftmaxMaskFuseUpperTriangleOp,
ops::SoftmaxMaskFuseUpperTriangleOpMaker,
ops::SoftmaxMaskFuseUpperTriangleGradOpMaker<paddle::framework::OpDesc>,
ops::SoftmaxMaskFuseUpperTriangleGradOpMaker<paddle::imperative::OpBase>);
REGISTER_OPERATOR(softmax_mask_fuse_upper_triangle_grad,
ops::SoftmaxMaskFuseUpperTriangleOpGrad);
REGISTER_OP_CPU_KERNEL(softmax_mask_fuse_upper_triangle,
ops::SoftmaxMaskFuseUpperTriangleCPUKernel<
paddle::platform::CPUDeviceContext, float>,
ops::SoftmaxMaskFuseUpperTriangleCPUKernel<
paddle::platform::CPUDeviceContext, double>);
Loading