chore: import upstream snapshot with attribution
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/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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 raver119@gmail.com
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_random_normal)
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#include <helpers/RandomLauncher.h>
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#include <ops/declarable/headers/random.h>
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namespace sd {
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namespace ops {
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CUSTOM_OP_IMPL(random_normal, 1, 1, true, 2, 0) {
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// normal distribution
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auto rng = block.randomGenerator();
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RandomLauncher::fillGaussian(block.launchContext(), rng, OUTPUT_VARIABLE(0), T_ARG(0), T_ARG(1));
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return Status::OK;
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}
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DECLARE_SHAPE_FN(random_normal) {
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auto in = INPUT_VARIABLE(0);
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auto shape = in->template asVectorT<LongType>();
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if(block.getDArguments()->size() > 0) {
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auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(D_ARG(0), 'c', shape);
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return SHAPELIST(newShape);
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} else {
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auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(block.dataType(), 'c', shape);
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return SHAPELIST(newShape);
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}
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}
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DECLARE_SYN(randomnormal, random_normal);
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DECLARE_TYPES(random_normal) {
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getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes({ALL_FLOATS});
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}
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} // namespace ops
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} // namespace sd
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#endif
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