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

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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
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*
* 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 raver119 on 29/10/17.
//
#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_randomuniform)
#include <ops/declarable/CustomOperations.h>
#include <helpers/RandomLauncher.h>
#include <ops/declarable/helpers/random.h>
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namespace sd {
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namespace ops {
///////////////////////
/**
* uniform distribution
* takes 1 ndarray
*
* T argumens map:
* TArgs[0] - min for rng
* TArgs[1] - max for rng
*/
CUSTOM_OP_IMPL(randomuniform, 1, 1, true, 0, 0) {
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// uniform distribution
auto rng = block.randomGenerator();
auto dtype = DataType::FLOAT32;
if (block.getIArguments()->size())
dtype = (DataType)INT_ARG(0);
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auto min = block.width() > 1 ? INPUT_VARIABLE(1) : (NDArray*) nullptr;
auto max = block.width() > 2 ? INPUT_VARIABLE(2) : (NDArray*) nullptr;
bool disposable = false;
if (min == nullptr && max == nullptr && block.numT() >= 2) {
min = NDArrayFactory::create_(dtype, block.launchContext());
max = NDArrayFactory::create_(dtype, block.launchContext());
min->p(0, T_ARG(0));
max->p(0, T_ARG(1));
disposable = true;
}
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auto output = OUTPUT_VARIABLE(0);
REQUIRE_TRUE(output->dataType() == dtype, 0, "RandomUniform: data type of output should be equals to given.");
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helpers::fillRandomUniform(block.launchContext(), rng, min, max, output);
if (disposable) {
delete min;
delete max;
}
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return Status::OK();
}
DECLARE_SHAPE_FN(randomuniform) {
auto in = INPUT_VARIABLE(0);
//auto min = INPUT_VARIABLE(1);
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auto shape = in->template asVectorT<Nd4jLong>();
auto dtype = DataType::FLOAT32; //ArrayOptions::dataType(inputShape->at(1)); // output type is by given min
if (block.getIArguments()->size())
dtype = (DataType)INT_ARG(0);
if (block.width() > 1)
REQUIRE_TRUE(dtype == INPUT_VARIABLE(1)->dataType(), 0, "RandomUniform: data type of output and min/max args should be the same");
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auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(dtype, 'c', shape);
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return SHAPELIST(newShape);
}
DECLARE_TYPES(randomuniform) {
getOpDescriptor()
->setAllowedInputTypes(0, {ALL_INTS})
->setAllowedInputTypes(1, {ALL_INTS, ALL_FLOATS})
->setAllowedInputTypes(2, {ALL_INTS, ALL_FLOATS})
->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS});
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}
}
}
#endif