wehub-resource-sync
179 lines
6.9 KiB
Plaintext
179 lines
6.9 KiB
Plaintext
/* Copyright (c) 2022 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 <map> // NOLINT
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#include "gtest/gtest.h"
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#include "paddle/phi/api/include/tensor.h"
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#include "paddle/phi/api/lib/utils/allocator.h"
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/complex.h"
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#include "paddle/phi/common/float16.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/common/scalar.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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namespace tests {
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__global__ void FillTensor(float* data) { data[0] = 1; }
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TEST(Scalar, ConstructFromDenseTensor1) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
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phi::DenseTensor dense_x(alloc.get(),
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phi::DenseTensorMeta(phi::DataType::FLOAT16,
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common::make_ddim({1}),
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phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<float16>(&dense_x);
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dense_x_data[0] = 1;
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phi::Scalar scalar_test(dense_x);
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ASSERT_NEAR(1, scalar_test.to<float16>(), 1e-6);
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}
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TEST(Scalar, ConstructFromDenseTensor2) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
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phi::DenseTensor dense_x(
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alloc.get(),
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phi::DenseTensorMeta(
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phi::DataType::INT16, common::make_ddim({1}), phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<int16_t>(&dense_x);
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dense_x_data[0] = 1;
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phi::Scalar scalar_test(dense_x);
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ASSERT_EQ(1, scalar_test.to<int16_t>());
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}
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TEST(Scalar, ConstructFromDenseTensor3) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
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phi::DenseTensor dense_x(
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alloc.get(),
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phi::DenseTensorMeta(
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phi::DataType::INT8, common::make_ddim({1}), phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<int8_t>(&dense_x);
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dense_x_data[0] = 1;
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phi::Scalar scalar_test(dense_x);
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ASSERT_EQ(1, scalar_test.to<int8_t>());
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}
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TEST(Scalar, ConstructFromDenseTensor4) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
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phi::DenseTensor dense_x(
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alloc.get(),
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phi::DenseTensorMeta(
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phi::DataType::BOOL, common::make_ddim({1}), phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<bool>(&dense_x);
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dense_x_data[0] = true;
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phi::Scalar scalar_test(dense_x);
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ASSERT_EQ(true, scalar_test.to<bool>());
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}
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TEST(Scalar, ConstructFromDenseTensor5) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
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phi::DenseTensor dense_x(alloc.get(),
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phi::DenseTensorMeta(phi::DataType::COMPLEX64,
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common::make_ddim({1}),
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phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<complex64>(&dense_x);
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dense_x_data[0] = 1;
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phi::Scalar scalar_test(dense_x);
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complex64 expected_value(1, 0);
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EXPECT_TRUE(expected_value == scalar_test.to<complex64>());
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}
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TEST(Scalar, ConstructFromDenseTensor6) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
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phi::DenseTensor dense_x(alloc.get(),
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phi::DenseTensorMeta(phi::DataType::COMPLEX128,
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common::make_ddim({1}),
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phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<complex128>(&dense_x);
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dense_x_data[0] = 1;
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phi::Scalar scalar_test(dense_x);
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complex128 expected_value(1, 0);
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EXPECT_TRUE(expected_value == scalar_test.to<complex128>());
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}
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TEST(Scalar, ConstructFromDenseTensor7) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::GPUPlace());
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phi::DenseTensor dense_x(alloc.get(),
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phi::DenseTensorMeta(phi::DataType::FLOAT32,
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common::make_ddim({1}),
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phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::GPUContext*>(pool.Get(phi::GPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<float>(&dense_x);
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FillTensor<<<1, 1, 0, dev_ctx->stream()>>>(dense_x_data);
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dev_ctx->Wait();
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phi::Scalar scalar_test(dense_x);
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ASSERT_NEAR(1, scalar_test.to<float>(), 1e-6);
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}
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TEST(Scalar, ConstructFromTensor) {
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// 1. create tensor
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const auto alloc =
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std::make_unique<paddle::experimental::DefaultAllocator>(phi::GPUPlace());
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auto dense_x = std::make_shared<phi::DenseTensor>(
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alloc.get(),
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phi::DenseTensorMeta(phi::DataType::FLOAT32,
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common::make_ddim({1}),
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phi::DataLayout::NCHW));
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phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
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auto* dev_ctx = reinterpret_cast<phi::GPUContext*>(pool.Get(phi::GPUPlace()));
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auto* dense_x_data = dev_ctx->Alloc<float>(dense_x.get());
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FillTensor<<<1, 1, 0, dev_ctx->stream()>>>(dense_x_data);
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dev_ctx->Wait();
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paddle::Tensor x(dense_x);
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paddle::experimental::Scalar scalar_test(x);
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ASSERT_NEAR(1, scalar_test.to<float>(), 1e-6);
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}
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} // namespace tests
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} // namespace phi
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