120 lines
3.5 KiB
C++
120 lines
3.5 KiB
C++
/*******************************************************************************
|
|
* 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 <NDArray.h>
|
|
#include <ops/ops.h>
|
|
#include <GradCheck.h>
|
|
#include <array>
|
|
|
|
|
|
using namespace nd4j;
|
|
|
|
|
|
class DeclarableOpsTests16 : public testing::Test {
|
|
public:
|
|
|
|
DeclarableOpsTests16() {
|
|
printf("\n");
|
|
fflush(stdout);
|
|
}
|
|
};
|
|
|
|
TEST_F(DeclarableOpsTests16, scatter_upd_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {3}, {1, 1, 1});
|
|
auto y = NDArrayFactory::create<int>(0);
|
|
auto w = NDArrayFactory::create<float>(3.0f);
|
|
auto e = NDArrayFactory::create<float>('c', {3}, {3.f, 1.f, 1.f});
|
|
|
|
nd4j::ops::scatter_upd op;
|
|
auto result = op.execute({&x, &y, &w}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_EQ(e, *z);
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests16, scatter_upd_2) {
|
|
|
|
NDArray x('c', {10, 3}, nd4j::DataType::FLOAT32);
|
|
NDArray indices('c', {2}, {2,5}, nd4j::DataType::INT32);
|
|
NDArray updates('c', {2, 3}, {100,101,102, 200,201,202}, nd4j::DataType::FLOAT32);
|
|
NDArray e('c', {10, 3}, {1,2,3, 4,5,6, 100,101,102, 10,11,12, 13,14,15, 200,201,202, 19,20,21, 22,23,24, 25,26,27, 28,29,30}, nd4j::DataType::FLOAT32);
|
|
|
|
x.linspace(1);
|
|
|
|
nd4j::ops::scatter_upd op;
|
|
auto result = op.execute({&x, &indices, &updates}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_EQ(e, *z);
|
|
|
|
delete result;
|
|
}
|
|
|
|
|
|
TEST_F(DeclarableOpsTests16, test_size_dtype_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {3}, {1, 1, 1});
|
|
auto z = NDArrayFactory::create<float>(0.0f);
|
|
auto e = NDArrayFactory::create<float>(3.0f);
|
|
|
|
nd4j::ops::size op;
|
|
auto status = op.execute({&x}, {&z}, {}, {}, {});
|
|
ASSERT_EQ(Status::OK(), status);
|
|
|
|
ASSERT_EQ(e, z);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests16, test_empty_noop_1) {
|
|
auto z = NDArrayFactory::empty<Nd4jLong>();
|
|
|
|
nd4j::ops::noop op;
|
|
auto status = op.execute({}, {&z}, {}, {}, {});
|
|
ASSERT_EQ(Status::OK(), status);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests16, test_empty_noop_2) {
|
|
auto z = NDArrayFactory::empty<Nd4jLong>();
|
|
|
|
Context ctx(1);
|
|
ctx.setOutputArray(0, z.buffer(), z.shapeInfo(), z.specialBuffer(), z.specialShapeInfo());
|
|
|
|
nd4j::ops::noop op;
|
|
auto status = op.execute(&ctx);
|
|
|
|
ASSERT_EQ(Status::OK(), status);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests16, test_svd_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {3, 3}, {0.7787856f, 0.80119777f, 0.72437465f, 0.23089433f, 0.72714126f, 0.18039072f,0.50563407f, 0.89252293f, 0.5461209f});
|
|
auto z = NDArrayFactory::create<float>('c', {3});
|
|
|
|
nd4j::ops::svd op;
|
|
auto status = op.execute({&x}, {&z}, {}, {0, 0, 16}, {});
|
|
|
|
ASSERT_EQ(Status::OK(), status);
|
|
} |