72 lines
2.6 KiB
C++
72 lines
2.6 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 GS <sgazeos@gmail.com>
|
|
//
|
|
|
|
|
|
#include <ops/declarable/CustomOperations.h>
|
|
#include <ops/declarable/helpers/random_crop.h>
|
|
|
|
namespace nd4j {
|
|
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(nd4j::DataType::ANY)
|
|
->setAllowedOutputTypes({ALL_FLOATS});
|
|
}
|
|
}
|
|
} |