107 lines
4.1 KiB
C++
107 lines
4.1 KiB
C++
/* ******************************************************************************
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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 raver119@gmail.com
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_select)
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#include <helpers/ShapeUtils.h>
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#include <ops/declarable/CustomOperations.h>
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namespace sd {
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namespace ops {
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CUSTOM_OP_IMPL(select, 3, 1, false, 0, 0) {
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auto cond = INPUT_VARIABLE(0);
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auto x = INPUT_VARIABLE(1);
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auto y = INPUT_VARIABLE(2);
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REQUIRE_TRUE(x->isSameShape(y), 0, "Select: X and Y shape should be equal");
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if (x->isScalar()) {
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REQUIRE_TRUE(cond->isScalar(), 0,
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"Select: Condition should gave either equal shape to X/Y first dimension or to be scalar");
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auto z = OUTPUT_VARIABLE(0);
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if (y->isR()) {
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auto v = !cond->e<bool>(0)? y->e<double>(0) : x->e<double>(0);
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z->p(0, v);
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} else {
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auto v = !cond->e<bool>(0)? y->e<Nd4jLong>(0) : x->e<Nd4jLong>(0);
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z->p(0, v);
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}
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} else {
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bool same = cond->isSameShape(x);
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REQUIRE_TRUE(cond->isScalar() || cond->lengthOf() == x->sizeAt(0) || same, 0, "Select: Condition should gave either equal shape to X/Y first dimension or to be scalar");
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if (same) {
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auto z = OUTPUT_VARIABLE(0);
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for (int e = 0; e < cond->lengthOf(); e++) {
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if (y->isR()) {
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auto r = !cond->e<bool>(e) ? y->e<double>(e) : x->e<double>(e);
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z->p(e, r);
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} else {
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auto r = !cond->e<bool>(e) ? y->e<Nd4jLong>(e) : x->e<Nd4jLong>(e);
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z->p(e, r);
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}
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}
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} else {
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REQUIRE_TRUE(cond->lengthOf() == x->sizeAt(0), 0, "Condition length should be equal to the dim0 of x/y to act as TAD-mask, but got %d instead", cond->lengthOf());
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auto z = OUTPUT_VARIABLE(0);
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auto dims = ShapeUtils::evalDimsToExclude(x->rankOf(), {0});
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auto tadsX = x->allTensorsAlongDimension(dims);
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auto tadsY = y->allTensorsAlongDimension(dims);
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auto tadsZ = z->allTensorsAlongDimension(dims);
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for (int e = 0; e < tadsX.size(); e++) {
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if (!cond->e<bool>(e)) {
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tadsZ.at(e)->assign(tadsY.at(e));
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} else {
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tadsZ.at(e)->assign(tadsX.at(e));
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}
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}
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}
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}
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return Status::OK();
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}
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DECLARE_SHAPE_FN(select) {
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auto inShape = inputShape->at(1);
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Nd4jLong *newshape;
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COPY_SHAPE(inShape, newshape);
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return SHAPELIST(CONSTANT(newshape));
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}
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DECLARE_TYPES(select) {
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getOpDescriptor()
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->setAllowedInputTypes(0, DataType::BOOL)
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->setAllowedInputTypes(1, DataType::ANY)
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->setAllowedInputTypes(2, DataType::ANY)
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->setAllowedOutputTypes(1, DataType::INHERIT);
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}
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}
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}
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#endif |