chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
@@ -0,0 +1,431 @@
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// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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 "glog/logging.h"
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#include "gtest/gtest.h"
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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/common/data_type.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/selected_rows.h"
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PD_DECLARE_KERNEL(empty, CPU, ALL_LAYOUT);
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_DECLARE_KERNEL(empty, GPU, ALL_LAYOUT);
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#endif
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namespace paddle {
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namespace tests {
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using Tensor = paddle::Tensor;
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using DataType = phi::DataType;
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template <typename T>
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Tensor InitCPUTensorForTest() {
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std::vector<int64_t> tensor_shape{5, 5};
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DataType dtype = phi::CppTypeToDataType<T>::Type();
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Tensor t1 = paddle::experimental::empty(tensor_shape, dtype, phi::CPUPlace());
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auto* p_data_ptr = t1.data<T>();
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for (int64_t i = 0; i < t1.size(); i++) {
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p_data_ptr[i] = T(5);
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}
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return t1;
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}
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template <typename T>
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void TestCopyTensor() {
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auto t1 = InitCPUTensorForTest<T>();
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auto t1_cpu_cp = t1.copy_to(phi::CPUPlace(), /*blocking=*/false);
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PADDLE_ENFORCE_EQ(t1_cpu_cp.place(),
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phi::CPUPlace(),
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common::errors::InvalidArgument("t1_cpu_cp should copy to "
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"CPUPlace, but got %s",
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t1_cpu_cp.place()));
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for (int64_t i = 0; i < t1.size(); i++) {
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PADDLE_ENFORCE_EQ(
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t1_cpu_cp.template data<T>()[i],
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T(5),
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common::errors::InvalidArgument(
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"t1_cpu_cp.template data<T>()[%d] should be equal to T(5) ", i));
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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VLOG(2) << "Do GPU copy test";
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auto t1_gpu_cp = t1_cpu_cp.copy_to(phi::GPUPlace(), /*blocking=*/false);
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PADDLE_ENFORCE_EQ(t1_gpu_cp.place(),
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phi::GPUPlace(),
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common::errors::InvalidArgument("t1_gpu_cp should copy to "
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"GPUPlace, but got %s",
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t1_gpu_cp.place()));
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auto t1_gpu_cp_cp = t1_gpu_cp.copy_to(phi::GPUPlace(), /*blocking=*/false);
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PADDLE_ENFORCE_EQ(
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t1_gpu_cp_cp.place(),
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phi::GPUPlace(),
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common::errors::InvalidArgument("t1_gpu_cp_cp should copy to "
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"GPUPlace, but got %s",
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t1_gpu_cp_cp.place()));
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auto t1_gpu_cp_cp_cpu =
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t1_gpu_cp_cp.copy_to(phi::CPUPlace(), /*blocking=*/false);
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PADDLE_ENFORCE_EQ(
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t1_gpu_cp_cp_cpu.place(),
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phi::CPUPlace(),
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common::errors::InvalidArgument("t1_gpu_cp_cp_cpu should copy to "
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"CPUPlace, but got %s",
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t1_gpu_cp_cp_cpu.place()));
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for (int64_t i = 0; i < t1.size(); i++) {
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PADDLE_ENFORCE_EQ(
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t1_gpu_cp_cp_cpu.template data<T>()[i],
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T(5),
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common::errors::InvalidArgument(
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"t1_gpu_cp_cp_cpu.template data<T>()[%d] should be equal to T(5) ",
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i));
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}
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#endif
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}
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void TestAPIPlace() {
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std::vector<int64_t> tensor_shape = {5, 5};
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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auto t1 = paddle::experimental::empty(
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tensor_shape, DataType::FLOAT32, phi::GPUPlace());
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PADDLE_ENFORCE_EQ(t1.place(),
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phi::GPUPlace(),
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common::errors::InvalidArgument(
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"t1 should copy to GPUPlace, but got %s", t1.place()));
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#endif
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auto t2 = paddle::experimental::empty(
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tensor_shape, DataType::FLOAT32, phi::CPUPlace());
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PADDLE_ENFORCE_EQ(t2.place(),
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phi::CPUPlace(),
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common::errors::InvalidArgument(
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"t2 should copy to CPUPlace, but got %s", t2.place()));
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}
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void TestAPISizeAndShape() {
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std::vector<int64_t> tensor_shape = {5, 5};
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auto t1 = paddle::experimental::empty(tensor_shape);
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PADDLE_ENFORCE_EQ(
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t1.size(),
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25,
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common::errors::InvalidArgument("t1.size should be equal to 25, "
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"but got %d",
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t1.size()));
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PADDLE_ENFORCE_EQ(t1.shape(),
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tensor_shape,
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common::errors::InvalidArgument(
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"t1.shape should be equal to tensor_shape, "));
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}
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void TestAPISlice() {
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std::vector<int64_t> tensor_shape_origin1 = {5, 5};
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std::vector<int64_t> tensor_shape_sub1 = {3, 5};
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std::vector<int64_t> tensor_shape_origin2 = {5, 5, 5};
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std::vector<int64_t> tensor_shape_sub2 = {1, 5, 5};
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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auto t1 = paddle::experimental::empty(
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tensor_shape_origin1, DataType::FLOAT32, phi::GPUPlace());
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PADDLE_ENFORCE_EQ(
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t1.slice(0, 5).shape(),
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tensor_shape_origin1,
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common::errors::InvalidArgument("t1.slice(0, 5).shape should be equal to "
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"{5, 5}"));
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PADDLE_ENFORCE_EQ(
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t1.slice(0, 3).shape(),
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tensor_shape_sub1,
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common::errors::InvalidArgument("t1.slice(0, 3).shape should be equal to "
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"{3, 5}"));
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auto t2 = paddle::experimental::empty(
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tensor_shape_origin2, DataType::FLOAT32, phi::GPUPlace());
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PADDLE_ENFORCE_EQ(
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t2.slice(4, 5).shape(),
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tensor_shape_sub2,
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common::errors::InvalidArgument("t2.slice(4, 5).shape should be equal to "
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"{1, 5, 5}"));
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#endif
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auto t3 = paddle::experimental::empty(
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tensor_shape_origin1, DataType::FLOAT32, phi::CPUPlace());
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PADDLE_ENFORCE_EQ(
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t3.slice(0, 5).shape(),
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tensor_shape_origin1,
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common::errors::InvalidArgument("t3.slice(0, 5).shape should be equal to "
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"{5, 5}"));
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PADDLE_ENFORCE_EQ(
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t3.slice(0, 3).shape(),
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tensor_shape_sub1,
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common::errors::InvalidArgument("t3.slice(0, 3).shape should be equal to "
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"{3, 5}"));
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auto t4 = paddle::experimental::empty(
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tensor_shape_origin2, DataType::FLOAT32, phi::CPUPlace());
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PADDLE_ENFORCE_EQ(
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t4.slice(4, 5).shape(),
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tensor_shape_sub2,
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common::errors::InvalidArgument("t4.slice(4, 5).shape should be equal to "
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"{1, 5, 5}"));
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// Test writing function for sliced tensor
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auto t = InitCPUTensorForTest<float>();
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auto t_sliced = t.slice(0, 1);
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auto* t_sliced_data_ptr = t_sliced.data<float>();
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for (int64_t i = 0; i < t_sliced.size(); i++) {
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t_sliced_data_ptr[i] += static_cast<float>(5);
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}
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auto* t_data_ptr = t.data<float>();
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for (int64_t i = 0; i < t_sliced.size(); i++) {
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PADDLE_ENFORCE_EQ(t_data_ptr[i],
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static_cast<float>(10),
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common::errors::InvalidArgument(
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"Required t_data_ptr[%d] should be equal "
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"to static_cast<float>(10) ",
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i));
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}
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}
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template <typename T>
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paddle::DataType TestDtype() {
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std::vector<int64_t> tensor_shape = {5, 5};
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DataType dtype = phi::CppTypeToDataType<T>::Type();
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auto t1 = paddle::experimental::empty(tensor_shape, dtype, phi::CPUPlace());
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return t1.type();
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}
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template <typename T>
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void TestCast(paddle::DataType data_type) {
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std::vector<int64_t> tensor_shape = {5, 5};
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DataType dtype = phi::CppTypeToDataType<T>::Type();
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auto t1 = paddle::experimental::empty(tensor_shape, dtype, phi::CPUPlace());
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auto t2 = t1.cast(data_type);
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PADDLE_ENFORCE_EQ(
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t2.type(),
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data_type,
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common::errors::InvalidArgument("t2.type() should be equal to data_type, "
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"but got %s",
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t2.type()));
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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auto tg1 = paddle::experimental::empty(tensor_shape, dtype, phi::GPUPlace());
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auto tg2 = tg1.cast(data_type);
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PADDLE_ENFORCE_EQ(tg2.type(),
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data_type,
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common::errors::InvalidArgument(
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"tg2.type() should be equal to data_type, "
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"but got %s",
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tg2.type()));
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#endif
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}
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void GroupTestCopy() {
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VLOG(2) << "Float cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<float>();
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VLOG(2) << "Double cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<double>();
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VLOG(2) << "int cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<int32_t>();
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VLOG(2) << "int64 cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<int64_t>();
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VLOG(2) << "int16 cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<int16_t>();
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VLOG(2) << "int8 cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<int8_t>();
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VLOG(2) << "uint8 cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<uint8_t>();
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VLOG(2) << "complex<float> cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<paddle::complex64>();
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VLOG(2) << "complex<double> cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<paddle::complex128>();
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VLOG(2) << "Fp16 cpu-cpu-gpu-gpu-cpu";
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TestCopyTensor<paddle::float16>();
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}
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void GroupTestCast() {
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VLOG(2) << "int16_t cast";
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TestCast<int16_t>(paddle::DataType::FLOAT32);
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VLOG(2) << "int32 cast";
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TestCast<int32_t>(paddle::DataType::FLOAT32);
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VLOG(2) << "int64 cast";
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TestCast<int64_t>(paddle::DataType::FLOAT32);
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VLOG(2) << "double cast";
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TestCast<double>(paddle::DataType::FLOAT32);
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VLOG(2) << "bool cast";
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TestCast<bool>(paddle::DataType::FLOAT32);
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VLOG(2) << "uint8 cast";
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TestCast<uint8_t>(paddle::DataType::FLOAT32);
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VLOG(2) << "float cast";
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TestCast<float>(paddle::DataType::FLOAT32);
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VLOG(2) << "complex<float> cast";
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TestCast<paddle::complex64>(paddle::DataType::FLOAT32);
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VLOG(2) << "complex<double> cast";
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TestCast<paddle::complex128>(paddle::DataType::FLOAT32);
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VLOG(2) << "float16 cast";
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TestCast<paddle::float16>(paddle::DataType::FLOAT16);
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}
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void GroupTestDtype() {
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PADDLE_ENFORCE_EQ(
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TestDtype<bool>(),
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paddle::DataType::BOOL,
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common::errors::InvalidArgument("TestDtype<bool>() should be equal to "
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"paddle::DataType::BOOL, but got %s",
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TestDtype<bool>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<int8_t>(),
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paddle::DataType::INT8,
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common::errors::InvalidArgument("TestDtype<int8_t>() should be equal to "
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"paddle::DataType::INT8, but got %s",
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TestDtype<int8_t>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<uint8_t>(),
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paddle::DataType::UINT8,
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common::errors::InvalidArgument("TestDtype<uint8_t>() should be equal to "
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"paddle::DataType::UINT8, but got %s",
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TestDtype<uint8_t>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<int16_t>(),
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paddle::DataType::INT16,
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common::errors::InvalidArgument("TestDtype<int16_t>() should be equal to "
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"paddle::DataType::INT16, but got %s",
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TestDtype<int16_t>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<int32_t>(),
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paddle::DataType::INT32,
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common::errors::InvalidArgument("TestDtype<int32_t>() should be equal to "
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"paddle::DataType::INT32, but got %s",
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TestDtype<int32_t>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<int64_t>(),
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paddle::DataType::INT64,
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common::errors::InvalidArgument("TestDtype<int64_t>() should be equal to "
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"paddle::DataType::INT64, but got %s",
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TestDtype<int64_t>()));
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PADDLE_ENFORCE_EQ(TestDtype<paddle::float16>(),
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paddle::DataType::FLOAT16,
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common::errors::InvalidArgument(
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"TestDtype<paddle::float16>() should be equal to "
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"paddle::DataType::FLOAT16, but got %s",
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TestDtype<paddle::float16>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<float>(),
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paddle::DataType::FLOAT32,
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common::errors::InvalidArgument("TestDtype<float>() should be equal to "
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"paddle::DataType::FLOAT32, but got %s",
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TestDtype<float>()));
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PADDLE_ENFORCE_EQ(
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TestDtype<double>(),
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paddle::DataType::FLOAT64,
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common::errors::InvalidArgument("TestDtype<double>() should be equal to "
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"paddle::DataType::FLOAT64, but got %s",
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TestDtype<double>()));
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PADDLE_ENFORCE_EQ(TestDtype<paddle::complex64>(),
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paddle::DataType::COMPLEX64,
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common::errors::InvalidArgument(
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"TestDtype<paddle::complex64>() should be equal to "
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"paddle::DataType::COMPLEX64, but got %s",
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TestDtype<paddle::complex64>()));
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PADDLE_ENFORCE_EQ(TestDtype<paddle::complex128>(),
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paddle::DataType::COMPLEX128,
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common::errors::InvalidArgument(
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"TestDtype<paddle::complex128>() should be equal to "
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"paddle::DataType::COMPLEX128, but got %s",
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TestDtype<paddle::complex128>()));
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}
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void TestInitialized() {
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auto test_tensor = paddle::experimental::empty({1, 1});
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PADDLE_ENFORCE_EQ(test_tensor.initialized(),
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true,
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common::errors::InvalidArgument(
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"test_tensor should be initialized, but got %s",
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test_tensor.initialized()));
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float* tensor_data = test_tensor.data<float>();
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for (int i = 0; i < test_tensor.size(); i++) {
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tensor_data[i] = 0.5;
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}
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for (int i = 0; i < test_tensor.size(); i++) {
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PADDLE_ENFORCE_EQ(tensor_data[i],
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0.5,
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common::errors::InvalidArgument(
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"tensor_data[%d] should be equal to 0.5, "
|
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"but got %f",
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i,
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tensor_data[i]));
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}
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}
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void TestDataInterface() {
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// Test DenseTensor
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auto test_tensor = paddle::experimental::empty({1, 1});
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PADDLE_ENFORCE_EQ(test_tensor.initialized(),
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true,
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common::errors::InvalidArgument(
|
||||
"test_tensor should be initialized, but got %s",
|
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test_tensor.initialized()));
|
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void* tensor_ptr = test_tensor.data();
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PADDLE_ENFORCE_NE(
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tensor_ptr,
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nullptr,
|
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common::errors::InvalidArgument(
|
||||
"test_tensor should not be NULL, but got %p", tensor_ptr));
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const void* const_tensor_ptr = test_tensor.data();
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PADDLE_ENFORCE_NE(
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const_tensor_ptr,
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||||
nullptr,
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common::errors::InvalidArgument("const_tensor should not be NULL, "
|
||||
"but got %p",
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const_tensor_ptr));
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// Test SelectedRows
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std::vector<int64_t> rows = {0};
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std::shared_ptr<phi::SelectedRows> selected_rows =
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std::make_shared<phi::SelectedRows>(rows, 1);
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selected_rows->mutable_value()->Resize(common::make_ddim({1, 1}));
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selected_rows->mutable_value()->mutable_data<float>(phi::CPUPlace())[0] =
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static_cast<float>(10.0f);
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paddle::Tensor sr_tensor = paddle::Tensor(selected_rows);
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PADDLE_ENFORCE_EQ(sr_tensor.initialized(),
|
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true,
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common::errors::InvalidArgument(
|
||||
"sr_tensor should be initialized, but got %s",
|
||||
sr_tensor.initialized()));
|
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tensor_ptr = sr_tensor.data();
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||||
PADDLE_ENFORCE_NE(tensor_ptr,
|
||||
nullptr,
|
||||
common::errors::InvalidArgument(
|
||||
"tensor should not be NULL, but got %p", tensor_ptr));
|
||||
const_tensor_ptr = sr_tensor.data();
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||||
PADDLE_ENFORCE_NE(
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||||
const_tensor_ptr,
|
||||
nullptr,
|
||||
common::errors::InvalidArgument("const_tensor should not be NULL, "
|
||||
"but got %p",
|
||||
const_tensor_ptr));
|
||||
}
|
||||
|
||||
TEST(PhiTensor, All) {
|
||||
VLOG(2) << "TestCopy";
|
||||
GroupTestCopy();
|
||||
VLOG(2) << "TestDtype";
|
||||
GroupTestDtype();
|
||||
VLOG(2) << "TestShape";
|
||||
TestAPISizeAndShape();
|
||||
VLOG(2) << "TestPlace";
|
||||
TestAPIPlace();
|
||||
VLOG(2) << "TestSlice";
|
||||
TestAPISlice();
|
||||
VLOG(2) << "TestCast";
|
||||
GroupTestCast();
|
||||
VLOG(2) << "TestInitialized";
|
||||
TestInitialized();
|
||||
VLOG(2) << "TestDataInterface";
|
||||
TestDataInterface();
|
||||
}
|
||||
|
||||
} // namespace tests
|
||||
} // namespace paddle
|
||||
Reference in New Issue
Block a user