138 lines
4.5 KiB
C++
138 lines
4.5 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_dilation2d)
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#include <ops/declarable/headers/convo.h>
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#include <ops/declarable/helpers/dilation2d.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(dilation2d, 2, 1, false, 0, 1) {
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auto input = INPUT_VARIABLE(0);
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auto weights = INPUT_VARIABLE(1);
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auto output = OUTPUT_VARIABLE(0);
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REQUIRE_TRUE(input->rankOf() == 4, 0, "Dilation2D: input should be 4D");
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REQUIRE_TRUE(weights->rankOf() == 3, 0, "Dilation2D: weights should be 3D");
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const int bS = input->sizeAt(0);
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const int iC = input->sizeAt(3);
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const bool isSameShape = INT_ARG(0) == 1;
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REQUIRE_TRUE(input->sizeAt(3) == weights->sizeAt(2), 0, "Dilation2D: number of input channels doesn't match number of channels in weights: %i vs %i", input->sizeAt(3), weights->sizeAt(2));
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std::vector<int> strides(4);
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std::vector<int> rates(4);
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if (block.width() > 2) {
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REQUIRE_TRUE(block.width() >= 4, 0, "Dilation2D: number of input arrays should be 4 at least");
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auto r = INPUT_VARIABLE(2);
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auto s = INPUT_VARIABLE(3);
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strides = s->template asVectorT<int>();
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rates = r->template asVectorT<int>();
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} else {
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REQUIRE_TRUE(block.numI() >= 9, 0, "Dilation2D: number of Int arguments should be 9 at least");
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int e = 1;
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for (int cnt = 0;cnt < 4; cnt++)
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rates[cnt] = INT_ARG(e++);
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for (int cnt = 0; cnt < 4; cnt++)
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strides[cnt] = INT_ARG(e++);
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}
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int sH = 0, sW = 0;
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int dH = 0, dW = 0;
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int pH = 0, pW = 0;
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int oH = 0, oW = 0;
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helpers::dilation_hw(block.launchContext(), input->shapeInfo(), weights->shapeInfo(), strides, rates, isSameShape, &sH, &sW, &pH, &pW, &dH, &dW, &oH, &oW);
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REQUIRE_TRUE(oH > 0 && oW > 0, 0, "Dilation2D: outY and outX should have positive values, but got [%i, %i] instead", oH, oW);
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helpers::dilation2d(block.launchContext(), input, weights, output, sH, sW, pH, pW, dH, dW);
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return Status::OK();
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}
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DECLARE_TYPES(dilation2d) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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DECLARE_SHAPE_FN(dilation2d) {
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auto input = inputShape->at(0);
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auto weights = inputShape->at(1);
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const int bS = shape::sizeAt(input, 0);
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const int iC = shape::sizeAt(input, 3);
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const bool isSameShape = INT_ARG(0) == 1;
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std::vector<int> strides(4);
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std::vector<int> rates(4);
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Nd4jLong *newShape;
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if (block.width() > 2) {
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auto r = INPUT_VARIABLE(2);
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auto s = INPUT_VARIABLE(3);
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strides = s->template asVectorT<int>();
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rates = r->template asVectorT<int>();
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} else {
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if (block.numI() < 9) {
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newShape = ConstantShapeHelper::getInstance()->scalarShapeInfo(block.dataType());
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return SHAPELIST(newShape);
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}
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int e = 1;
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for (int cnt = 0;cnt < 4; cnt++)
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rates[cnt] = INT_ARG(e++);
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for (int cnt = 0; cnt < 4; cnt++)
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strides[cnt] = INT_ARG(e++);
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}
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int sH = 0, sW = 0;
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int dH = 0, dW = 0;
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int pH = 0, pW = 0;
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int oH = 0, oW = 0;
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helpers::dilation_hw(block.launchContext(), input, weights, strides, rates, isSameShape, &sH, &sW, &pH, &pW, &dH, &dW, &oH, &oW);
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std::array<Nd4jLong, 4> shape = {{bS, oH, oW, iC}};
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newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(weights), 'c', 4, shape.data());
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return SHAPELIST(newShape);
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}
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}
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}
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#endif |