109 lines
4.1 KiB
C++
109 lines
4.1 KiB
C++
|
/*******************************************************************************
|
||
|
|
* Copyright (c) 2015-2018 Skymind, Inc.
|
||
|
|
*
|
||
|
|
* 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.
|
||
|
|
*
|
||
|
|
* 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 <op_boilerplate.h>
|
||
|
|
#if NOT_EXCLUDED(OP_select)
|
||
|
|
|
||
|
|
#include <helpers/ShapeUtils.h>
|
||
|
|
#include <ops/declarable/CustomOperations.h>
|
||
|
|
|
||
|
|
namespace nd4j {
|
||
|
|
namespace ops {
|
||
|
|
CUSTOM_OP_IMPL(select, 3, 1, false, 0, 0) {
|
||
|
|
auto cond = INPUT_VARIABLE(0);
|
||
|
|
auto x = INPUT_VARIABLE(1);
|
||
|
|
auto y = INPUT_VARIABLE(2);
|
||
|
|
|
||
|
|
REQUIRE_TRUE(x->isSameShape(y), 0, "Select: X and Y shape should be equal");
|
||
|
|
if (x->isScalar()) {
|
||
|
|
REQUIRE_TRUE(cond->isScalar(), 0,
|
||
|
|
"Select: Condition should gave either equal shape to X/Y first dimension or to be scalar");
|
||
|
|
|
||
|
|
auto z = OUTPUT_VARIABLE(0);
|
||
|
|
|
||
|
|
if (y->isR()) {
|
||
|
|
auto v = !cond->e<bool>(0)? y->e<double>(0) : x->e<double>(0);
|
||
|
|
z->p(0, v);
|
||
|
|
} else {
|
||
|
|
auto v = !cond->e<bool>(0)? y->e<Nd4jLong>(0) : x->e<Nd4jLong>(0);
|
||
|
|
z->p(0, v);
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
bool same = cond->isSameShape(x);
|
||
|
|
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");
|
||
|
|
if (same) {
|
||
|
|
auto z = OUTPUT_VARIABLE(0);
|
||
|
|
|
||
|
|
for (int e = 0; e < cond->lengthOf(); e++) {
|
||
|
|
if (y->isR()) {
|
||
|
|
auto r = !cond->e<bool>(e) ? y->e<double>(e) : x->e<double>(e);
|
||
|
|
z->p(e, r);
|
||
|
|
} else {
|
||
|
|
auto r = !cond->e<bool>(e) ? y->e<Nd4jLong>(e) : x->e<Nd4jLong>(e);
|
||
|
|
z->p(e, r);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
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());
|
||
|
|
|
||
|
|
auto z = OUTPUT_VARIABLE(0);
|
||
|
|
|
||
|
|
auto dims = ShapeUtils::evalDimsToExclude(x->rankOf(), {0});
|
||
|
|
auto tadsX = x->allTensorsAlongDimension(dims);
|
||
|
|
auto tadsY = y->allTensorsAlongDimension(dims);
|
||
|
|
auto tadsZ = z->allTensorsAlongDimension(dims);
|
||
|
|
|
||
|
|
for (int e = 0; e < tadsX->size(); e++) {
|
||
|
|
if (!cond->e<bool>(e)) {
|
||
|
|
tadsZ->at(e)->assign(tadsY->at(e));
|
||
|
|
} else {
|
||
|
|
tadsZ->at(e)->assign(tadsX->at(e));
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
delete tadsX;
|
||
|
|
delete tadsY;
|
||
|
|
delete tadsZ;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
return Status::OK();
|
||
|
|
}
|
||
|
|
|
||
|
|
DECLARE_SHAPE_FN(select) {
|
||
|
|
auto inShape = inputShape->at(1);
|
||
|
|
|
||
|
|
Nd4jLong *newshape;
|
||
|
|
COPY_SHAPE(inShape, newshape);
|
||
|
|
|
||
|
|
return SHAPELIST(CONSTANT(newshape));
|
||
|
|
}
|
||
|
|
|
||
|
|
DECLARE_TYPES(select) {
|
||
|
|
getOpDescriptor()
|
||
|
|
->setAllowedInputTypes(0, DataType::BOOL)
|
||
|
|
->setAllowedInputTypes(1, DataType::ANY)
|
||
|
|
->setAllowedInputTypes(2, DataType::ANY)
|
||
|
|
->setAllowedOutputTypes(1, DataType::INHERIT);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
#endif
|