08853c7829
* Corrected randomuniform declaration. * Refactored uniform distribution for both cuda and cpu platforms. * Refactored uniform distribution and tests. * Fixed type usage with indices. * Refactored uniform distribution implementation and tests to full conform with TF implementation. * Refactored gamma function to use type util method. * Copyright changes and fixes with ConstantHelper. * Added error checking on allocate cuda device memory and operations.
41 lines
1.4 KiB
C++
41 lines
1.4 KiB
C++
/*******************************************************************************
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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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// @author sgazeos@gmail.com
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//
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//
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// Declaration of distribution helpers
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//
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#ifndef __RANDOM_HELPERS__
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#define __RANDOM_HELPERS__
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#include <op_boilerplate.h>
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#include <NDArray.h>
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#include <helpers/helper_random.h>
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#include <graph/Context.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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void fillRandomGamma(LaunchContext* context, graph::RandomGenerator& rng, NDArray* alpha, NDArray* beta, NDArray* output);
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void fillRandomPoisson(LaunchContext* context, graph::RandomGenerator& rng, NDArray* lambda, NDArray* output);
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void fillRandomUniform(LaunchContext* context, graph::RandomGenerator& rng, NDArray* min, NDArray* max, NDArray* output);
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}
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}
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}
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#endif
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