chore: import upstream snapshot with attribution

2026-07-13 12:47:05 +08:00
commit 4f3b7da785
7394 changed files with 2005594 additions and 0 deletions
@@ -0,0 +1,165 @@
+/* ******************************************************************************
+ *
+ *
+ * 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
+//  @author Yurii Shyrma (iuriish@yahoo.com)
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_multiply)
+
+#include <ops/declarable/CustomOperations.h>
+
+namespace sd {
+namespace ops {
+
+BROADCASTABLE_OP_IMPL(multiply, 0, 0) {
+  auto x = INPUT_VARIABLE(0);
+  auto y = INPUT_VARIABLE(1);
+  auto z = OUTPUT_VARIABLE(0);
+
+  BROADCAST_CHECK_EMPTY(x, y, z);
+
+   LongType* zShapeInfo = nullptr;
+  const bool areShapesBroadcastable =
+      ShapeUtils::evalBroadcastShapeInfo(x->shapeInfo(), y->shapeInfo(), true, zShapeInfo, block.getWorkspace());
+  REQUIRE_TRUE(areShapesBroadcastable, 0, "MULTIPLY OP: the shapes of x %s and y %s are not suitable for broadcast !",
+               ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str());
+
+  auto tZ = BroadcastHelper::broadcastApply(BroadcastOpsTuple::Multiply(), x, y, z);
+  if (tZ == nullptr)
+    return Status::KERNEL_FAILURE;
+  else if (tZ != z)
+    THROW_EXCEPTION("multiply: result was replaced");
+
+  return Status::OK;
+}
+DECLARE_SYN(Mul, multiply);
+
+DECLARE_TYPES(multiply) {
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, ANY)
+      ->setAllowedInputTypes(1, ANY)
+      ->setAllowedOutputTypes(0, INHERIT);
+}
+
+DECLARE_TYPES(multiply_bp) {
+  getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes({ALL_FLOATS});
+}
+
+///////////////////////////////////////////////////////////////////
+CUSTOM_OP_IMPL(multiply_bp, 3, 2, false, 0, 0) {
+  auto x = INPUT_VARIABLE(0);
+  auto y = INPUT_VARIABLE(1);
+  auto dLdz = INPUT_VARIABLE(2);
+
+  auto dLdx = OUTPUT_VARIABLE(0);
+  auto dLdy = OUTPUT_VARIABLE(1);
+
+   LongType* dLdzShapeInfo = nullptr;
+  const bool areShapesBroadcastable =
+      ShapeUtils::evalBroadcastShapeInfo(x->shapeInfo(), y->shapeInfo(), true, dLdzShapeInfo, block.getWorkspace());
+  REQUIRE_TRUE(areShapesBroadcastable, 0,
+               "MULTIPLY_BP OP: the shapes of x %s and y %s are not suitable for broadcast !",
+               ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str());
+
+
+  const LongType xLen = x->lengthOf();
+  const LongType yLen = y->lengthOf();
+
+  if (x->isScalar() && y->isScalar()) {  // both are scalars
+    y->applyPairwiseTransform(pairwise::Multiply, dLdz, dLdx);
+    x->applyPairwiseTransform(pairwise::Multiply, dLdz, dLdy);
+
+  }else if (x->isScalar()) {  // x is scalar and y is not
+    NDArray *yMulDldz = (*y) * (*dLdz);
+    NDArray *dLdxTemp = yMulDldz->reduceNumber(reduce::Sum);
+    dLdx->assign(dLdxTemp);
+    delete yMulDldz;
+    delete dLdxTemp;
+    dLdz->applyScalarArr(scalar::Multiply, x, dLdy);
+  } else if (y->isScalar()) {  // y is scalar and x is not
+    NDArray *xMulDldz = (*x) * (*dLdz);
+    NDArray *dLdyTemp = xMulDldz->reduceNumber(reduce::Sum);
+    dLdy->assign(dLdyTemp);
+    delete xMulDldz;
+    delete dLdyTemp;
+    dLdz->applyScalarArr(scalar::Multiply, y, dLdx);
+  } else if (x->isSameShape(y)) {
+    x->applyPairwiseTransform(pairwise::Multiply, dLdz, dLdy);
+    y->applyPairwiseTransform(pairwise::Multiply, dLdz, dLdx);
+  } else if (x->isSameShape(dLdz)) {
+    auto yTiled = NDArray(dLdz, false, block.launchContext());
+    y->tile(yTiled);
+    std::vector<LongType> axesForY = ShapeUtils::evalBroadcastBackwardAxis(y->shapeInfo(), dLdz->shapeInfo());
+
+    NDArray *xMulDldz = (*x) * (*dLdz);
+    NDArray *dLdyTemp = xMulDldz->reduceAlongDimension(reduce::Sum, &axesForY);
+    dLdy->assign(dLdyTemp);
+    delete xMulDldz;
+    delete dLdyTemp;
+    yTiled.applyPairwiseTransform(pairwise::Multiply, dLdz, dLdx);
+  } else if (y->isSameShape(dLdz)) {
+    auto xTiled = NDArray(dLdz, false, block.launchContext());
+    x->tile(xTiled);
+    std::vector<LongType> axesForX = ShapeUtils::evalBroadcastBackwardAxis(x->shapeInfo(), dLdz->shapeInfo());
+    // FIXED: Clean up intermediate result from operator*
+    NDArray *yMulDldz = (*y) * (*dLdz);
+    NDArray *dLdxTemp = yMulDldz->reduceAlongDimension(reduce::Sum, &axesForX);
+    dLdx->assign(dLdxTemp);
+    delete yMulDldz;
+    delete dLdxTemp;
+    xTiled.applyPairwiseTransform(pairwise::Multiply, dLdz, dLdy);
+  } else {
+    auto xTiled = NDArray(dLdz, false, block.launchContext());
+    auto yTiled = NDArray(dLdz, false, block.launchContext());
+    x->tile(xTiled);
+    y->tile(yTiled);
+    std::vector<LongType> axesForX = ShapeUtils::evalBroadcastBackwardAxis(x->shapeInfo(), dLdz->shapeInfo());
+    std::vector<LongType> axesForY = ShapeUtils::evalBroadcastBackwardAxis(y->shapeInfo(), dLdz->shapeInfo());
+
+    // For dLdx
+    NDArray *yMulDldz = (*y) * (*dLdz);
+    NDArray *dLdxTemp = yMulDldz->reduceAlongDimension(reduce::Sum, &axesForX);
+    dLdx->assign(dLdxTemp);
+    delete yMulDldz;
+    delete dLdxTemp;
+
+    // For dLdy
+    // FIXED: Clean up intermediate result from operator*
+    NDArray *xMulDldz = (*x) * (*dLdz);
+    NDArray *dLdyTemp = xMulDldz->reduceAlongDimension(reduce::Sum, &axesForY);
+    dLdy->assign(dLdyTemp);
+    delete xMulDldz;
+    delete dLdyTemp;
+  }
+
+  return Status::OK;
+}
+
+DECLARE_SHAPE_FN(multiply_bp) {
+  auto xShapeInfo = inputShape->at(0);
+  auto yShapeInfo = inputShape->at(1);
+  return SHAPELIST(CONSTANT(xShapeInfo), CONSTANT(yShapeInfo));
+}
+
+}  // namespace ops
+}  // namespace sd
+
+#endif