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 Yurii Shyrma (iuriish@yahoo.com), created on 24.07.2018
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_prelu)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/activations.h>
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#include <numeric>
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namespace sd {
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namespace ops {
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////////////////////////////////////////////////////////////////////////
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CONFIGURABLE_OP_IMPL(prelu, 2, 1, true, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto alpha = INPUT_VARIABLE(1);
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auto output = OUTPUT_VARIABLE(0);
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std::vector<LongType> sharedAxes = *block.getIArguments();
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const int inputRank = input->rankOf();
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const int numSharedAxes = sharedAxes.size(); // can be zero as well
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const LongType inputLen = input->lengthOf();
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const LongType alphaLen = alpha->lengthOf();
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auto* inputShapeVec = input->getShapeAsVector();
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auto* alphaShapeVec = alpha->getShapeAsVector();
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const std::vector<LongType> inputShape = *inputShapeVec;
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const std::vector<LongType> alphaShape = *alphaShapeVec;
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delete inputShapeVec;
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delete alphaShapeVec;
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//***** input validation *****//
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std::vector<LongType> expectedAlphaShape(&inputShape[1], &inputShape[inputRank]);
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REQUIRE_TRUE(inputRank > 1, 0,
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"PRELU OP: wrong rank of input array, expected rank should be > 1, but got %i instead !", inputRank);
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for (int i = 0; i < numSharedAxes; ++i) {
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if (sharedAxes[i] <= 0) sharedAxes[i] += inputRank - 1;
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REQUIRE_TRUE(1 <= sharedAxes[i] && sharedAxes[i] <= inputRank - 1, 0,
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"PRELU OP: wrong axis value %i in sharedAxes at position %i, axis value must be within range [1, "
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"input_rank-1] !",
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sharedAxes[i], i);
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expectedAlphaShape[sharedAxes[i] - 1] = 1;
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}
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NDArray *alpha2 = alphaShape != expectedAlphaShape ? alpha->reshape(alpha->ordering(), expectedAlphaShape) : alpha;
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helpers::prelu(block.launchContext(), input,
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alpha2,
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output);
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if(alpha2 != alpha) delete alpha2;
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return Status::OK;
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}
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DECLARE_TYPES(prelu) {
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getOpDescriptor()
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->setAllowedInputTypes(0, ANY)
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->setAllowedInputTypes(1, {ALL_FLOATS})
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->setAllowedOutputTypes(0, {ALL_FLOATS});
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}
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////////////////////////////////////////////////////////////////////////
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CONFIGURABLE_OP_IMPL(prelu_bp, 3, 2, true, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto alpha = INPUT_VARIABLE(1);
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auto dLdO = INPUT_VARIABLE(2);
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auto dLdI = OUTPUT_VARIABLE(0);
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auto dLdA = OUTPUT_VARIABLE(1);
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std::vector<LongType> sharedAxes = *block.getIArguments();
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const int inputRank = input->rankOf();
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const int numSharedAxes = sharedAxes.size(); // can be zero as well
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const LongType inputLen = input->lengthOf();
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const LongType alphaLen = alpha->lengthOf();
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auto* inputShapeVec = input->getShapeAsVector();
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auto* alphaShapeVec = alpha->getShapeAsVector();
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const std::vector<LongType> inputShape = *inputShapeVec;
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const std::vector<LongType> alphaShape = *alphaShapeVec;
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delete inputShapeVec;
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delete alphaShapeVec;
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//***** input validation *****//
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// temporary limitation imposed by Yurii
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REQUIRE_TRUE(inputRank <= SD_MAX_RANK / 2, 0, "rank of input array should be <= SD_MAX_RANK/2, but got %i instead!",
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inputRank);
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REQUIRE_TRUE(input->lengthOf() / alpha->lengthOf() <= SD_MAX_RANK * 2, 0,
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"the length of input array should be no more than SD_MAX_RANK*2 times the alpha array length, but got "
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"%lld and %lld correspondingly!",
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input->lengthOf(), alpha->lengthOf());
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std::vector<LongType> expectedAlphaShape(&inputShape[1], &inputShape[inputRank]);
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REQUIRE_TRUE(inputRank > 1, 0,
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"PRELU_BP OP: wrong rank of input array, expected rank should be > 1, but got %i instead !", inputRank);
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for (int i = 0; i < numSharedAxes; ++i) {
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if (sharedAxes[i] <= 0) sharedAxes[i] += inputRank - 1;
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REQUIRE_TRUE(1 <= sharedAxes[i] && sharedAxes[i] <= inputRank - 1, 0,
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"PRELU_BP OP: wrong axis value %i in sharedAxes at position %i, axis value must be within range [1, "
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"input_rank-1] !",
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sharedAxes[i], i);
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expectedAlphaShape[sharedAxes[i] - 1] = 1;
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}
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LongType product = 1;
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for (const auto& item : expectedAlphaShape) product *= item;
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REQUIRE_TRUE(product == alphaLen, 0, "PRELU_BP OP: wrong shape of alpha array, expected is %s, but got %s instead !",
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ShapeUtils::shapeAsString(expectedAlphaShape).c_str(), ShapeUtils::shapeAsString(alphaShape).c_str());
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// ***** end of validation ***** //
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NDArray* alphaReshaped = nullptr;
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NDArray* dLdAReshaped = nullptr;
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if (alphaShape != expectedAlphaShape) {
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alphaReshaped = alpha->reshape(alpha->ordering(), expectedAlphaShape);
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dLdAReshaped = dLdA->reshape(dLdA->ordering(), expectedAlphaShape);
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}
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helpers::preluBP(block.launchContext(), input,
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alphaReshaped != nullptr ? alphaReshaped : alpha,
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dLdO, dLdI,
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dLdAReshaped != nullptr ? dLdAReshaped : dLdA);
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if (alphaReshaped != nullptr) {
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delete alphaReshaped;
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delete dLdAReshaped;
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}
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return Status::OK;
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}
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DECLARE_TYPES(prelu_bp) {
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getOpDescriptor()
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->setAllowedInputTypes(0, ANY)
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->setAllowedInputTypes(1, {FLOAT32, DOUBLE, HALF})
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->setAllowedInputTypes(2, {FLOAT32, DOUBLE, HALF})
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->setAllowedOutputTypes(0, {FLOAT32, DOUBLE, HALF})
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->setAllowedOutputTypes(1, {FLOAT32, DOUBLE, HALF});
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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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