wehub-resource-sync
48 lines
1.4 KiB
C++
48 lines
1.4 KiB
C++
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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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,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <gtest/gtest.h>
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#include <memory>
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#include "paddle/phi/api/include/api.h"
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#include "paddle/phi/api/include/tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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PD_DECLARE_KERNEL(full, CPU, ALL_LAYOUT);
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namespace paddle {
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namespace tests {
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TEST(Tensor, slice) {
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auto x = paddle::experimental::full({4, 3}, 1, phi::DataType::INT64);
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auto slice_x = x.slice(1, 2);
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// check slice result
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ASSERT_EQ(slice_x.dims().size(), 2);
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ASSERT_EQ(slice_x.dims()[0], 1);
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ASSERT_EQ(slice_x.dims()[1], 3);
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ASSERT_EQ(slice_x.numel(), 3);
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ASSERT_EQ(slice_x.is_cpu(), true);
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ASSERT_EQ(slice_x.type(), phi::DataType::INT64);
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ASSERT_EQ(slice_x.layout(), phi::DataLayout::NCHW);
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ASSERT_EQ(slice_x.initialized(), true);
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for (int64_t i = 0; i < slice_x.numel(); ++i) {
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ASSERT_EQ(slice_x.mutable_data<int64_t>()[i], 1);
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}
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}
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} // namespace tests
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} // namespace paddle
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