74 lines
2.6 KiB
C++
74 lines
2.6 KiB
C++
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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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// Created by GS <sgazeos@gmail.com>
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//
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/random_crop.h>
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namespace sd {
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namespace ops {
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//////////////////////////////////////////////////////////////////////////
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CUSTOM_OP_IMPL(random_crop, 2, 1, false, 0, 0) {
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auto input = INPUT_VARIABLE(0); // values for crop
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auto shape = INPUT_VARIABLE(1); // shape for result
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NDArray* reduceShape = nullptr; // this param is optional
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auto output = OUTPUT_VARIABLE(0); //
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int seed = 0;
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if (block.getIArguments()->size() > 0)
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seed = INT_ARG(0);
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REQUIRE_TRUE(shape->isVector(), 0, "random_crop: Shape tensor should be a vector.");
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REQUIRE_TRUE(input->rankOf() == shape->lengthOf(), 0, "random_crop: The length of the shape vector is not match input rank. %i and %i were given.",
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input->rankOf(), shape->lengthOf());
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for (int e = 0; e < shape->lengthOf(); ++e) {
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REQUIRE_TRUE((*shape).e<Nd4jLong>(e) <= input->sizeAt(e), 0, "random_crop: Shape tensor should be less than proper input dimension (dim %i, %i > %i).", e, (*shape).e<Nd4jLong>(e), input->sizeAt(e));
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}
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return helpers::randomCropFunctor(block, input, shape, output, seed);
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}
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DECLARE_SHAPE_FN(random_crop) {
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auto in = INPUT_VARIABLE(1);
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auto typeShape = inputShape->at(0);
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std::vector<Nd4jLong> shape(in->lengthOf());
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for (int e = 0; e < shape.size(); e++)
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shape[e] = (*in).e<Nd4jLong>(e);
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auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(typeShape), 'c', shape);
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return SHAPELIST(newShape);
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}
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DECLARE_TYPES(random_crop) {
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getOpDescriptor()
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->setAllowedInputTypes(sd::DataType::ANY)
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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}
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} |