78 lines
2.9 KiB
C++
78 lines
2.9 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2019-2020 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 Oleh Semeniv (oleg.semeniv@gmail.com)
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//
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#include <ops/declarable/headers/updaters.h>
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#include <ops/declarable/CustomOperations.h>
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#include <helpers/ConstantTadHelper.h>
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#include <execution/Threads.h>
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#include <array/NDArray.h>
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namespace sd {
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namespace ops {
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CONFIGURABLE_OP_IMPL(ada_grad_updater, 2, 2, true, 0, 0) {
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const auto gradient = INPUT_VARIABLE(0);
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const auto initState = INPUT_VARIABLE(1);
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auto update = OUTPUT_VARIABLE(0);
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auto stateH = OUTPUT_VARIABLE(1);
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if (gradient->isEmpty() || initState->isEmpty())
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return Status::OK();
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REQUIRE_TRUE(gradient->isSameShape(initState), 0, "ADA_GRAD UPDATER OP: input state must have the same shape as gradient,"
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" expected shape %s, but got %s!", ShapeUtils::shapeAsString(gradient->getShapeInfo()).c_str(),
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ShapeUtils::shapeAsString(initState->getShapeInfo()).c_str());
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bool bParamsSupply = 4 == block.width() || 2 == block.getTArguments()->size();
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REQUIRE_TRUE(bParamsSupply, 0, "ADA_GRAD UPDATER OP: learning rate and epsilon were not provided!");
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double dLr, dEpsilon;
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if (block.width() > 2) {
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const auto lr = INPUT_VARIABLE(2);
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const auto epsilon = INPUT_VARIABLE(3);
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REQUIRE_TRUE(lr->isScalar(), 0, "ADA_GRAD UPDATER OP: Learning rate has to be a scalar, but instead got rank %i!", lr->rankOf());
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REQUIRE_TRUE(epsilon->isScalar(), 0, "ADA_GRAD UPDATER OP: Epsilon has to be a scalar, but instead got rank %i!", epsilon->rankOf());
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dLr = lr->e<double>(0);
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dEpsilon = epsilon->e<double>(0);
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}
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else {
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dLr = T_ARG(0);
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dEpsilon = T_ARG(1);
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}
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helpers::updaterAdaGrad(block.launchContext(), *gradient, *initState, *update, *stateH, dLr, dEpsilon);
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return Status::OK();
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}
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DECLARE_TYPES(ada_grad_updater) {
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getOpDescriptor()->setAllowedInputTypes({ ALL_FLOATS })
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->setSameMode(true);
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}
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}
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}
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