/*******************************************************************************
* Copyright (c) 2015-2019 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 "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <array/NDArray.h>
#include <ops/ops.h>
#include <helpers/GradCheck.h>
#include <array>
using namespace sd;
class DeclarableOpsTests19 : public testing::Test {
public:
DeclarableOpsTests19() {
printf("\n");
fflush(stdout);
}
};
TEST_F(DeclarableOpsTests19, test_conv1d_bp_1) {
/*
DynamicCustomOp op = DynamicCustomOp.builder("conv1d_bp")
.addInputs(
Nd4j.create(DataType.FLOAT, 2,2,12),
Nd4j.create(DataType.FLOAT, 3,2,3),
Nd4j.create(DataType.FLOAT, 2,3,6)
)
.addOutputs(
Nd4j.create(DataType.FLOAT, 3,2,3))
.addIntegerArguments(3,2,0,1,2,0)
.build();
Nd4j.exec(op);
*/
auto t = NDArrayFactory::create<float>('c', {2, 2, 12});
auto u = NDArrayFactory::create<float>('c', {3, 2, 3});
auto v = NDArrayFactory::create<float>('c', {2, 3, 6});
sd::ops::conv1d_bp op;
auto result = op.evaluate({&t, &u, &v}, {3, 2, 0, 1, 2,0});
ASSERT_EQ(Status::OK(), result->status());
delete result;
TEST_F(DeclarableOpsTests19, test_squeeze_1) {
auto x = NDArrayFactory::create<double>('c', {3, 4, 1});
auto e = NDArrayFactory::create<double>('c', {3, 4});
int axis = 2;
sd::ops::squeeze op;
auto status = op.execute({&x}, {&e}, {axis});
ASSERT_EQ(Status::OK(), status);