cavis/libnd4j/include/ops/declarable/generic/nn/convo/im2col.cpp

163 lines
5.9 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// Created by raver119 on 17.10.2017.
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_im2col)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/convolutions.h>
#include <ops/declarable/helpers/im2col.h>
#include <ops/declarable/helpers/col2im.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(im2col, 1, 1, false, 0, 9) {
auto x = INPUT_VARIABLE(0);
auto z = OUTPUT_VARIABLE(0);
REQUIRE_TRUE(x->rankOf() == 4, 0, "im2col input should be 4D, but got %i instead", x->rankOf());
REQUIRE_TRUE(z->rankOf() == 6, 0, "im2col output should be 6D, but got %i instead", z->rankOf());
int kernelHeight = INT_ARG(0);
int kernelWidth = INT_ARG(1);
int strideY = INT_ARG(2);
int strideX = INT_ARG(3);
int padHeight = INT_ARG(4);
int padWidth = INT_ARG(5);
int dY = INT_ARG(6); //Dilation, height/y dimension
int dX = INT_ARG(7); //Dilation, width/x dimension
bool isSameMode = INT_ARG(8) > 0;
double zeroPadVal = 0.0;
if (block.getTArguments()->size() > 0)
zeroPadVal = T_ARG(0);
// FIXME: zeropad value is void
LaunchContext* ctx = block.launchContext();
nd4j::ops::helpers::im2col(*ctx, *x, *z, kernelHeight, kernelWidth, strideY, strideX, padHeight, padWidth, dY, dX, NDArrayFactory::create(zeroPadVal, block.launchContext()));
STORE_RESULT(*z);
return Status::OK();
}
DECLARE_SHAPE_FN(im2col) {
auto inShape = inputShape->at(0);
int bS = shape::shapeOf(inShape)[0];
int iD = shape::shapeOf(inShape)[1];
int inY = shape::shapeOf(inShape)[2];
int inX = shape::shapeOf(inShape)[3];
int kY = INT_ARG(0);
int kX = INT_ARG(1);
int sY = INT_ARG(2);
int sX = INT_ARG(3);
int pY = INT_ARG(4);
int pX = INT_ARG(5);
int dY = INT_ARG(6); //Dilation, height/y dimension
int dX = INT_ARG(7); //Dilation, width/x dimension
bool isSameMode = INT_ARG(8) > 0;
// output is always 6d for im2col
Nd4jLong* zShape;
ALLOCATE(zShape, block.getWorkspace(), shape::shapeInfoLength(6), Nd4jLong);
int oY = 0;
int oX = 0;
ConvolutionUtils::calcOutSizePool2D(oY, oX, kY, kX, sY, sX, pY, pX, dY, dX, inY, inX, isSameMode);
if (isSameMode)
ConvolutionUtils::calcPadding2D(pY, pX, oY, oX, inY, inX, kY, kX, sY, sX, dY, dX);
zShape[0] = 6;
zShape[1] = bS;
zShape[2] = iD;
zShape[3] = kY;
zShape[4] = kX;
zShape[5] = oY;
zShape[6] = oX;
zShape[shape::shapeInfoLength(zShape) - 2] = 1;
zShape[shape::shapeInfoLength(zShape) - 1] = 99;
ShapeUtils::updateStridesAndType(zShape, inShape, 'c');
return SHAPELIST(CONSTANT(zShape));
}
CUSTOM_OP_IMPL(im2col_bp, 2, 1, false, 0, 9) {
auto input = INPUT_VARIABLE(0);
auto gradAtOutput = INPUT_VARIABLE(1);
auto z = OUTPUT_VARIABLE(0);
REQUIRE_TRUE(input->rankOf() == 4, 0, "im2col_bp input should be 4D, but got %i instead", input->rankOf());
REQUIRE_TRUE(gradAtOutput->rankOf() == 6, 0, "im2col_bp gradient at output (input idx 1) should be 6D, but got %i instead", gradAtOutput->rankOf());
REQUIRE_TRUE(z->rankOf() == 4, 0, "im2col_bp output (grad at input) should be 4D, but got %i instead", z->rankOf());
int kernelHeight = INT_ARG(0);
int kernelWidth = INT_ARG(1);
int strideY = INT_ARG(2);
int strideX = INT_ARG(3);
int pH = INT_ARG(4);
int pW = INT_ARG(5);
int dY = INT_ARG(6); //Dilation, height/y dimension
int dX = INT_ARG(7); //Dilation, width/x dimension
bool isSameMode = INT_ARG(8) > 0;
double zeroPadVal = 0.0;
if (block.getTArguments()->size() > 0)
zeroPadVal = T_ARG(0);
//Assuming NCHW format here
int imgH = input->sizeAt(2);
int imgW = input->sizeAt(3);
LaunchContext* ctx = block.launchContext();
// FIXME:: all helpers should accept NDArray
ops::helpers::col2im(*ctx, *gradAtOutput, *z, strideY, strideX, pH, pW, imgH, imgW, dY, dX);
return Status::OK();
}
DECLARE_TYPES(im2col) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedOutputTypes(0, DataType::INHERIT)
->setSameMode(true);
}
DECLARE_TYPES(im2col_bp) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedOutputTypes(0, DataType::INHERIT)
->setSameMode(true);
}
DECLARE_SHAPE_FN(im2col_bp) {
Nd4jLong *inShape;
COPY_SHAPE(inputShape->at(0), inShape);
return SHAPELIST(CONSTANT(inShape));
}
}
}
#endif