chore: import upstream snapshot with attribution

test/cpp/phi/common/test_scalar.cu

@@ -0,0 +1,178 @@
+/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://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. */
+
+#include <map>  // NOLINT
+
+#include "gtest/gtest.h"
+#include "paddle/phi/api/include/tensor.h"
+#include "paddle/phi/api/lib/utils/allocator.h"
+#include "paddle/phi/backends/context_pool.h"
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/common/complex.h"
+#include "paddle/phi/common/float16.h"
+#include "paddle/phi/common/place.h"
+#include "paddle/phi/common/scalar.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+namespace tests {
+
+__global__ void FillTensor(float* data) { data[0] = 1; }
+
+TEST(Scalar, ConstructFromDenseTensor1) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
+  phi::DenseTensor dense_x(alloc.get(),
+                           phi::DenseTensorMeta(phi::DataType::FLOAT16,
+                                                common::make_ddim({1}),
+                                                phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<float16>(&dense_x);
+  dense_x_data[0] = 1;
+  phi::Scalar scalar_test(dense_x);
+  ASSERT_NEAR(1, scalar_test.to<float16>(), 1e-6);
+}
+
+TEST(Scalar, ConstructFromDenseTensor2) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
+  phi::DenseTensor dense_x(
+      alloc.get(),
+      phi::DenseTensorMeta(
+          phi::DataType::INT16, common::make_ddim({1}), phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<int16_t>(&dense_x);
+  dense_x_data[0] = 1;
+  phi::Scalar scalar_test(dense_x);
+  ASSERT_EQ(1, scalar_test.to<int16_t>());
+}
+
+TEST(Scalar, ConstructFromDenseTensor3) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
+  phi::DenseTensor dense_x(
+      alloc.get(),
+      phi::DenseTensorMeta(
+          phi::DataType::INT8, common::make_ddim({1}), phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<int8_t>(&dense_x);
+  dense_x_data[0] = 1;
+  phi::Scalar scalar_test(dense_x);
+  ASSERT_EQ(1, scalar_test.to<int8_t>());
+}
+
+TEST(Scalar, ConstructFromDenseTensor4) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
+  phi::DenseTensor dense_x(
+      alloc.get(),
+      phi::DenseTensorMeta(
+          phi::DataType::BOOL, common::make_ddim({1}), phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<bool>(&dense_x);
+  dense_x_data[0] = true;
+  phi::Scalar scalar_test(dense_x);
+  ASSERT_EQ(true, scalar_test.to<bool>());
+}
+
+TEST(Scalar, ConstructFromDenseTensor5) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
+  phi::DenseTensor dense_x(alloc.get(),
+                           phi::DenseTensorMeta(phi::DataType::COMPLEX64,
+                                                common::make_ddim({1}),
+                                                phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<complex64>(&dense_x);
+  dense_x_data[0] = 1;
+  phi::Scalar scalar_test(dense_x);
+  complex64 expected_value(1, 0);
+  EXPECT_TRUE(expected_value == scalar_test.to<complex64>());
+}
+
+TEST(Scalar, ConstructFromDenseTensor6) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::CPUPlace());
+  phi::DenseTensor dense_x(alloc.get(),
+                           phi::DenseTensorMeta(phi::DataType::COMPLEX128,
+                                                common::make_ddim({1}),
+                                                phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::CPUContext*>(pool.Get(phi::CPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<complex128>(&dense_x);
+  dense_x_data[0] = 1;
+  phi::Scalar scalar_test(dense_x);
+  complex128 expected_value(1, 0);
+  EXPECT_TRUE(expected_value == scalar_test.to<complex128>());
+}
+
+TEST(Scalar, ConstructFromDenseTensor7) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::GPUPlace());
+  phi::DenseTensor dense_x(alloc.get(),
+                           phi::DenseTensorMeta(phi::DataType::FLOAT32,
+                                                common::make_ddim({1}),
+                                                phi::DataLayout::NCHW));
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::GPUContext*>(pool.Get(phi::GPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<float>(&dense_x);
+  FillTensor<<<1, 1, 0, dev_ctx->stream()>>>(dense_x_data);
+  dev_ctx->Wait();
+  phi::Scalar scalar_test(dense_x);
+  ASSERT_NEAR(1, scalar_test.to<float>(), 1e-6);
+}
+
+TEST(Scalar, ConstructFromTensor) {
+  // 1. create tensor
+  const auto alloc =
+      std::make_unique<paddle::experimental::DefaultAllocator>(phi::GPUPlace());
+  auto dense_x = std::make_shared<phi::DenseTensor>(
+      alloc.get(),
+      phi::DenseTensorMeta(phi::DataType::FLOAT32,
+                           common::make_ddim({1}),
+                           phi::DataLayout::NCHW));
+
+  phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+  auto* dev_ctx = reinterpret_cast<phi::GPUContext*>(pool.Get(phi::GPUPlace()));
+
+  auto* dense_x_data = dev_ctx->Alloc<float>(dense_x.get());
+  FillTensor<<<1, 1, 0, dev_ctx->stream()>>>(dense_x_data);
+  dev_ctx->Wait();
+  paddle::Tensor x(dense_x);
+  paddle::experimental::Scalar scalar_test(x);
+  ASSERT_NEAR(1, scalar_test.to<float>(), 1e-6);
+}
+
+}  // namespace tests
+}  // namespace phi