/* ****************************************************************************** * * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://www.apache.org/licenses/LICENSE-2.0. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations * under the License. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author raver119@gmail.com // #include #if NOT_EXCLUDED(OP_reversedivide) #include #include namespace sd { namespace ops { BROADCASTABLE_OP_IMPL(reversedivide, 0, 0) { auto x = INPUT_VARIABLE(0); auto y = INPUT_VARIABLE(1); auto z = OUTPUT_VARIABLE(0); BROADCAST_CHECK_EMPTY(x, y, z); REQUIRE_TRUE(!x->isB(), 0, "REVERSEDIVIDE OP: you can't divide by bool array!"); x->applyTrueBroadcast(BROADCAST(ReverseDivide), y, z, true); return Status::OK; } DECLARE_SYN(RDiv, reversedivide); DECLARE_TYPES(reversedivide) { getOpDescriptor() ->setAllowedInputTypes(0, ANY) ->setAllowedInputTypes(1, ANY) ->setAllowedOutputTypes(0, INHERIT); } DECLARE_TYPES(reversedivide_bp) { getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes({ALL_FLOATS}); } CUSTOM_OP_IMPL(reversedivide_bp, 3, 2, false, 0, 0) { auto x = INPUT_VARIABLE(0); auto y = INPUT_VARIABLE(1); auto epsNext = INPUT_VARIABLE(2); auto gradX = OUTPUT_VARIABLE(0); auto gradY = OUTPUT_VARIABLE(1); if (x->isSameShape(y)) { // PWT case case // X gradient auto* epsY = (*epsNext) * (*y); auto* xSquared = (*x) * (*x); auto* gradXTemp = (*epsY) / (*xSquared); delete epsY; delete xSquared; gradX->assign(gradXTemp); delete gradXTemp; gradX->applyTransform(transform::Neg, gradX); // Y gradient auto* gradYTemp = (*epsNext) / (*x); gradY->assign(gradYTemp); delete gradYTemp; } else if (y->isScalar()) { // scalar case auto* tmp = epsNext->reduceNumber(reduce::Sum); auto* tmpX = x->reduceNumber(reduce::Sum); // For gradY auto* gradYTemp = (*tmp) / (*tmpX); delete tmp; delete tmpX; gradY->assign(gradYTemp); delete gradYTemp; // For gradX auto* epsY = (*epsNext) * (*y); auto* xSquared = (*x) * (*x); auto* gradXTemp = (*epsY) / (*xSquared); delete epsY; delete xSquared; gradX->assign(gradXTemp); delete gradXTemp; gradX->applyTransform(transform::Neg, gradX); } else { // broadcast case auto* preY = (*epsNext) / (*x); auto* epsY = (*epsNext) * (*y); auto* xSquared = (*x) * (*x); auto* preXTemp = (*epsY) / (*xSquared); delete epsY; delete xSquared; preXTemp->applyTransform(transform::Neg, preXTemp); auto axisX = ShapeUtils::evalBroadcastBackwardAxis(x->shapeInfo(), epsNext->shapeInfo()); auto axisY = ShapeUtils::evalBroadcastBackwardAxis(y->shapeInfo(), epsNext->shapeInfo()); if (axisX.size() > 0) { auto* sum = preXTemp->reduceAlongDimension(reduce::Sum, &axisX); gradX->assign(sum); delete sum; } else { gradX->assign(preXTemp); } delete preXTemp; if (axisY.size() > 0) { auto* sum = preY->reduceAlongDimension(reduce::Sum, &axisY); gradY->assign(sum); delete sum; } else { gradY->assign(preY); } delete preY; } return Status::OK; } DECLARE_SHAPE_FN(reversedivide_bp) { auto x = inputShape->at(0); auto y = inputShape->at(1); auto e = inputShape->at(2); return SHAPELIST(CONSTANT(x), CONSTANT(y)); } } // namespace ops } // namespace sd #endif