97 lines
3.5 KiB
C++
97 lines
3.5 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019 Konduit K.K.
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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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* 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 raver119 on 29/10/17.
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_randomuniform)
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#include <ops/declarable/CustomOperations.h>
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#include <helpers/RandomLauncher.h>
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#include <ops/declarable/helpers/random.h>
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namespace sd {
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namespace ops {
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///////////////////////
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/**
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* uniform distribution
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* takes 1 ndarray
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*
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* T argumens map:
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* TArgs[0] - min for rng
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* TArgs[1] - max for rng
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*/
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CUSTOM_OP_IMPL(randomuniform, 1, 1, true, 0, 0) {
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// uniform distribution
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auto rng = block.randomGenerator();
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auto dtype = DataType::FLOAT32;
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if (block.getIArguments()->size())
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dtype = (DataType)INT_ARG(0);
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auto min = block.width() > 1 ? INPUT_VARIABLE(1) : (NDArray*) nullptr;
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auto max = block.width() > 2 ? INPUT_VARIABLE(2) : (NDArray*) nullptr;
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bool disposable = false;
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if (min == nullptr && max == nullptr && block.numT() >= 2) {
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min = NDArrayFactory::create_(dtype, block.launchContext());
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max = NDArrayFactory::create_(dtype, block.launchContext());
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min->p(0, T_ARG(0));
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max->p(0, T_ARG(1));
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disposable = true;
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}
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auto output = OUTPUT_VARIABLE(0);
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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);
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if (disposable) {
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delete min;
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delete max;
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}
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return Status::OK();
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}
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DECLARE_SHAPE_FN(randomuniform) {
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auto in = INPUT_VARIABLE(0);
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//auto min = INPUT_VARIABLE(1);
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auto shape = in->template asVectorT<Nd4jLong>();
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auto dtype = DataType::FLOAT32; //ArrayOptions::dataType(inputShape->at(1)); // output type is by given min
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if (block.getIArguments()->size())
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dtype = (DataType)INT_ARG(0);
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if (block.width() > 1)
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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);
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}
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DECLARE_TYPES(randomuniform) {
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getOpDescriptor()
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->setAllowedInputTypes(0, {ALL_INTS})
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->setAllowedInputTypes(1, {ALL_INTS, ALL_FLOATS})
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->setAllowedInputTypes(2, {ALL_INTS, ALL_FLOATS})
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->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS});
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}
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}
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}
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#endif |