cavis/libnd4j/include/ops/declarable/generic/random/random_crop.cpp

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/*******************************************************************************
* 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 GS <sgazeos@gmail.com>
//
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/random_crop.h>
namespace sd {
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namespace ops {
//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(random_crop, 2, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0); // values for crop
auto shape = INPUT_VARIABLE(1); // shape for result
NDArray* reduceShape = nullptr; // this param is optional
auto output = OUTPUT_VARIABLE(0); //
int seed = 0;
if (block.getIArguments()->size() > 0)
seed = INT_ARG(0);
REQUIRE_TRUE(shape->isVector(), 0, "random_crop: Shape tensor should be a vector.");
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.",
input->rankOf(), shape->lengthOf());
for (int e = 0; e < shape->lengthOf(); ++e) {
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));
}
return helpers::randomCropFunctor(block, input, shape, output, seed);
}
DECLARE_SHAPE_FN(random_crop) {
auto in = INPUT_VARIABLE(1);
auto typeShape = inputShape->at(0);
std::vector<Nd4jLong> shape(in->lengthOf());
for (int e = 0; e < shape.size(); e++)
shape[e] = (*in).e<Nd4jLong>(e);
auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(typeShape), 'c', shape);
return SHAPELIST(newShape);
}
DECLARE_TYPES(random_crop) {
getOpDescriptor()
->setAllowedInputTypes(sd::DataType::ANY)
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->setAllowedOutputTypes({ALL_FLOATS});
}
}
}