64 lines
2.3 KiB
C++
64 lines
2.3 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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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 raver119@gmail.com
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_set_seed)
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#include <ops/declarable/CustomOperations.h>
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#include <legacy/NativeOps.h>
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namespace sd {
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namespace ops {
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CUSTOM_OP_IMPL(set_seed, -2, 1, false, 0, -2) {
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// REQUIRE_TRUE(block.getRNG() != nullptr, 0, "RNG should be defined in Graph");
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auto rng = block.getRng(); //.getRNG();
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Nd4jLong seed = 0;
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if (block.getIArguments()->size() > 0) {
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seed = INT_ARG(0);
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} else if (block.width() > 0) {
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auto input = INPUT_VARIABLE(0);
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REQUIRE_TRUE(input->isScalar(),0 ,"SetSeed: Seed operand should be scalar");
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seed = input->e<Nd4jLong>(0);
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} else {
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REQUIRE_TRUE(false, 0, "SetSeed: either IArg or scalr input should be provided");
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}
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// FIXME: this approach isn't really good for cuda, since it'll assume that CUDA might get nullptr instead of stream
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//refreshBuffer(nullptr, seed, (Nd4jPointer) rng);
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rng.setSeed((int)seed);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(set_seed) {
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auto newshape = ConstantShapeHelper::getInstance().scalarShapeInfo(block.dataType());
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return SHAPELIST(newshape);
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}
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DECLARE_TYPES(set_seed) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_INTS})
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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}
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}
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#endif
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