cavis/libnd4j/include/ops/declarable/generic/tensor/lin_space.cpp

75 lines
2.9 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
******************************************************************************/
//
// @author sgazeos@gmail.com
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_lin_space)
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(lin_space, 0, 1, false, 0, 0) {
auto output = OUTPUT_VARIABLE(0);
const int nInputs = block.width();
bool bInputs = (3 == nInputs || 3 == block.numI() || (2 == block.numT() && block.numI() > 0));
REQUIRE_TRUE(bInputs, 0, "lin_space OP: Have to be supplied correct inputs, input size or T_ARG size have to be equal 3, but got inputs - %i, T_ARGS - %i!", nInputs, block.numT());
auto start = (nInputs > 0) ? INPUT_VARIABLE(0)->e<double>(0) : static_cast<double>(T_ARG(0));
auto finish = (nInputs > 0) ? INPUT_VARIABLE(1)->e<double>(0) : static_cast<double>(T_ARG(1));
auto numOfElements = (nInputs > 0) ? INPUT_VARIABLE(2)->e<Nd4jLong>(0) : static_cast<Nd4jLong>(I_ARG(0));
if (numOfElements == 1) {
output->assign(start);
return Status::OK();
}
output->linspace(start, (finish - start) / ( numOfElements - 1.0 ));
return Status::OK();
}
DECLARE_SHAPE_FN(lin_space) {
const int nInputs = block.width();
bool bInputs = (3 == nInputs || 3 == block.numI() || (2 == block.numT() && block.numI() > 0));
REQUIRE_TRUE(bInputs, 0, "lin_space OP: Have to be supplied correct inputs, input size or T_ARG size have to be equal 3, but got inputs - %i, T_ARGS - %i!", nInputs, block.numT() );
auto dataType = (nInputs > 0) ? ArrayOptions::dataType(inputShape->at(0)) : ( block.numD() > 0 ? static_cast<DataType>(D_ARG(0)) : DataType::FLOAT32) ;
Nd4jLong steps = (nInputs > 0) ? INPUT_VARIABLE(2)->e<Nd4jLong>(0) : static_cast<Nd4jLong>(I_ARG(0));
return SHAPELIST(ConstantShapeHelper::getInstance().vectorShapeInfo(steps, dataType));
}
DECLARE_TYPES(lin_space) {
getOpDescriptor()
->setAllowedInputTypes(0, {ALL_FLOATS, ALL_INTS})
->setAllowedInputTypes(1, {ALL_FLOATS, ALL_INTS})
->setAllowedInputTypes(2, {ALL_INTS})
->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS});
}
}
}
#endif