cavis/libnd4j/include/ops/declarable/generic/boolean/where_np.cpp

164 lines
6.9 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 Adam Gibson
//
#include <op_boilerplate.h>
#include <ops/declarable/headers/boolean.h>
#if NOT_EXCLUDED(OP_where_np)
#include <helpers/ShapeUtils.h>
#include <ops/declarable/CustomOperations.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(where_np, -1, 1, false, 0, 0) {
auto condition = INPUT_VARIABLE(0);
if (block.width() == 3) {
auto x = INPUT_VARIABLE(1);
auto y = INPUT_VARIABLE(2);
auto z = OUTPUT_VARIABLE(0);
int numMatches = 0;
// if cond matches x/y shape - we have per-element mask
if (condition->isSameShape(x)) {
// FIXME: for perf it might be better to issue memcpy here, and fill only mismatched values from either X or Y
if(y->isScalar()) {
if (y->isR()) {
for (int e = 0; e < condition->lengthOf(); e++) {
auto r = condition->e<bool>(e) ? y->e<double>(0)
: x->e<double>(e);
z->p(e, r);
}
} else {
for (int e = 0; e < condition->lengthOf(); e++) {
auto r = condition->e<bool>(e) ? y->e<Nd4jLong>(0)
: x->e<Nd4jLong>(e);
z->p(e, r);
}
}
}
else {
if (y->isR()) {
for (int e = 0; e < condition->lengthOf(); e++) {
if (condition->e<bool>(e)) {
auto r = y->e<double>(numMatches);
z->p(e, r);
numMatches++;
} else {
auto r = x->e<double>(e);
z->p(e, r);
}
}
} else {
for (int e = 0; e < condition->lengthOf(); e++) {
if (condition->e<bool>(e)) {
auto r = y->e<Nd4jLong>(numMatches);
z->p(e, r);
numMatches++;
} else {
auto r = x->e<Nd4jLong>(e);
z->p(e, r);
}
}
}
}
}
else {
REQUIRE_TRUE(condition->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", condition->lengthOf());
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 (!condition->e<bool>(e))
tadsZ->at(e)->assign(tadsY->at(e));
else
tadsZ->at(e)->assign(tadsX->at(e));
}
delete tadsX;
delete tadsY;
delete tadsZ;
}
} else {
// in this case we return 2D matrix, which basically contains coordinates fo true
REQUIRE_TRUE(block.width() == 1, 0, "Where op takes either 1 or 3 operands, But got %d operands instead", block.width());
// if (output->isEmpty())
Nd4jLong width = condition->rankOf();
nd4j::ops::Where op;
std::unique_ptr<ResultSet> res(op.execute({condition}, {}, {}, {}));
REQUIRE_OK(res->status());
NDArray* whereTrue = res->at(0);
if (whereTrue->isEmpty())
return ND4J_STATUS_OK;
for (Nd4jLong outNext = 0; outNext < width; ++outNext) {
auto output = OUTPUT_VARIABLE(outNext);
for (Nd4jLong e = 0; e < output->lengthOf(); ++e) {
output->p<Nd4jLong>(e, whereTrue->e<Nd4jLong>(e, outNext));
}
}
}
return Status::OK();
}
DECLARE_SHAPE_FN(where_np) {
auto shapes = SHAPELIST();
Nd4jLong *newShape;
if (block.width() == 3) {
auto inShape = inputShape->at(1);
COPY_SHAPE(inShape, newShape);
shapes->push_back(CONSTANT(newShape));
} else {
auto condition = INPUT_VARIABLE(0);
Nd4jLong numOfTrue = 0LL; //condition->reduceNumber(reduce::CountNonZero).e<Nd4jLong>(0);
for (Nd4jLong i = 0; i < condition->lengthOf(); ++i)
if (condition->e<bool>(i)) numOfTrue++;
// output shape - a tuple of rank(inShape) 1D tensors with numOfTrue len
if (numOfTrue) {
for (Nd4jLong e = 0; e < condition->rankOf(); ++e) {
shapes->push_back(ConstantShapeHelper::getInstance()->vectorShapeInfo(numOfTrue, nd4j::DataType::INT64));
}
}
else {
shapes->push_back(ConstantShapeHelper::getInstance()->emptyShapeInfo(nd4j::DataType::INT64));
}
}
return shapes;
}
DECLARE_TYPES(where_np) {
getOpDescriptor()
->setAllowedInputTypes(0, nd4j::DataType::BOOL)
->setAllowedInputTypes(1, nd4j::DataType::ANY)
->setAllowedInputTypes(2, nd4j::DataType::ANY)
->setAllowedOutputTypes( {ALL_FLOATS, ALL_INTS});
}
}
}
#endif