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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* 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.
*/
#ifndef CAFFE2_OPERATORS_TT_CONTRACTION_OP_H_
#define CAFFE2_OPERATORS_TT_CONTRACTION_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context, class Engine = DefaultEngine>
class TTContractionOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
TTContractionOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
K_(OperatorBase::GetSingleArgument<int64_t>("K", 0)),
M_(OperatorBase::GetSingleArgument<int64_t>("M", 0)),
N_(OperatorBase::GetSingleArgument<int64_t>("N", 0)) {
CAFFE_ENFORCE(OperatorBase::HasArgument("K"), "Argument `K` is missing.");
CAFFE_ENFORCE(OperatorBase::HasArgument("M"), "Argument `M` is missing.");
CAFFE_ENFORCE(OperatorBase::HasArgument("N"), "Argument `N` is missing.");
}
bool RunOnDevice() override {
const auto& A = Input(0);
const auto& B = Input(1);
CAFFE_ENFORCE(A.dim() == 2, A.dim());
int64_t A_size = A.numel();
int64_t B_size = B.numel();
CAFFE_ENFORCE(
K_ * M_ == A_size,
"Argument `K` and `M` do not agree with the size of A.");
CAFFE_ENFORCE(
B_size % (K_ * N_) == 0,
"Argument `K` and `N` do not agree with the size of B.");
int64_t D_ = B_size / (K_ * N_);
int64_t C_size = D_ * M_ * N_;
auto* C = Output(0, vector<int64_t>{C_size}, at::dtype<T>());
int64_t B_stride = K_ * N_;
int64_t C_stride = M_ * N_;
const T* A_data = A.template data<T>();
const T* B_data = B.template data<T>();
T* C_data = C->template mutable_data<T>();
for (int64_t B_index = 0; B_index < B_size; B_index += B_stride) {
math::Gemm<T, Context, Engine>(
CblasTrans,
CblasNoTrans,
M_,
N_,
K_,
1,
A_data,
B_data + B_index,
0,
C_data,
&context_);
C_data += C_stride;
}
return true;
}
protected:
int64_t K_;
int64_t M_;
int64_t N_;
};
template <typename T, class Context, class Engine = DefaultEngine>
class TTContractionGradientOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
TTContractionGradientOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
K_(OperatorBase::GetSingleArgument<int64_t>("K", 0)),
M_(OperatorBase::GetSingleArgument<int64_t>("M", 0)),
N_(OperatorBase::GetSingleArgument<int64_t>("N", 0)) {}
bool RunOnDevice() override {
const auto& G = Input(0);
const auto& A = Input(1);
const auto& B = Input(2);
int64_t G_size = G.numel();
int64_t D_ = G_size / (M_ * N_);
int64_t dB_size = D_ * K_ * N_;
auto* dA = Output(0, A.sizes(), at::dtype<T>());
auto* dB = Output(1, B.sizes(), at::dtype<T>());
int64_t B_stride = K_ * N_;
int64_t G_stride = M_ * N_;
const T* G_data = G.template data<T>();
const T* A_data = A.template data<T>();
const T* B_data = B.template data<T>();
T* dA_data = dA->template mutable_data<T>();
T* dB_data = dB->template mutable_data<T>();
const T* G_ptr = G_data;
for (int64_t B_index = 0; B_index < dB_size; B_index += B_stride) {
math::Gemm<T, Context, Engine>(
CblasNoTrans,
CblasTrans,
K_,
M_,
N_,
1,
B_data + B_index,
G_ptr,
B_index == 0 ? 0 : 1,
dA_data,
&context_);
G_ptr += G_stride;
}
G_ptr = G_data;
for (int64_t B_index = 0; B_index < dB_size; B_index += B_stride) {
math::Gemm<T, Context, Engine>(
CblasNoTrans,
CblasNoTrans,
K_,
N_,
M_,
1,
A_data,
G_ptr,
0,
dB_data + B_index,
&context_);
G_ptr += G_stride;
}
return true;
}
protected:
int64_t K_;
int64_t M_;
int64_t N_;
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_TT_CONTRACTION_OP_H_
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