A. Unique TensorFlower dc6ec5d884 Added tests for Buffer.
PiperOrigin-RevId: 275092695
Change-Id: I99e666fd48b66cfc57150e73b45efca815e7ddba
2019-10-16 12:52:19 -07:00

61 lines
2.0 KiB
C++

/* Copyright 2019 The TensorFlow 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 "tensorflow/lite/delegates/gpu/cl/buffer.h"
#include <vector>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "tensorflow/lite/delegates/gpu/cl/cl_test.h"
#include "tensorflow/lite/delegates/gpu/common/status.h"
using ::testing::FloatNear;
using ::testing::Pointwise;
namespace tflite {
namespace gpu {
namespace cl {
namespace {
TEST_F(OpenCLTest, BufferTestFloat) {
const std::vector<float> data = {1.0, 2.0, 3.0, -4.0, 5.1};
Buffer buffer;
ASSERT_OK(CreateReadWriteBuffer(sizeof(float) * 5, &env_.context(), &buffer));
ASSERT_OK(buffer.WriteData(env_.queue(),
absl::MakeConstSpan(data.data(), data.size())));
std::vector<float> gpu_data;
ASSERT_OK(buffer.ReadData<float>(env_.queue(), &gpu_data));
EXPECT_THAT(gpu_data, Pointwise(FloatNear(0.0f), data));
}
TEST_F(OpenCLTest, BufferTestHalf) {
const std::vector<half> data = {half(1.4), half(2.1), half(2.2)};
Buffer buffer;
ASSERT_OK(CreateReadWriteBuffer(sizeof(half) * 3, &env_.context(), &buffer));
ASSERT_OK(buffer.WriteData(env_.queue(),
absl::MakeConstSpan(data.data(), data.size())));
std::vector<half> gpu_data;
ASSERT_OK(buffer.ReadData<half>(env_.queue(), &gpu_data));
EXPECT_THAT(gpu_data, Pointwise(FloatNear(0.0f), data));
}
} // namespace
} // namespace cl
} // namespace gpu
} // namespace tflite