提交 4ebaa508 编写于 作者: Y yejianwu

add unit test for out_of_range_check

上级 857e6e60
......@@ -20,6 +20,7 @@ cc_library(
exclude = [
"*_test.cc",
"arm/*_test.cc",
"opencl/*_test.cc",
],
),
hdrs = glob([
......@@ -42,6 +43,7 @@ cc_test(
[
"*_test.cc",
"arm/*_test.cc",
"opencl/*_test.cc",
],
),
copts = if_openmp_enabled(["-fopenmp"]) + if_neon_enabled(["-DMACE_ENABLE_NEON"]),
......
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include <vector>
#include "gtest/gtest.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/core/tensor.h"
#include "mace/core/workspace.h"
#include "mace/kernels/opencl/helper.h"
#include "mace/utils/tuner.h"
#include "mace/utils/utils.h"
namespace mace {
namespace kernels {
namespace {
const bool BufferToImageOpImpl(Tensor *buffer,
Tensor *image,
std::vector<size_t> &image_shape) {
std::unique_ptr<BufferBase> kernel_error;
uint32_t gws[2] = {static_cast<uint32_t>(image_shape[0]),
static_cast<uint32_t>(image_shape[1])};
auto runtime = OpenCLRuntime::Global();
std::string kernel_name = "in_out_buffer_to_image";
std::string obfuscated_kernel_name = MACE_OBFUSCATE_SYMBOL(kernel_name);
std::set<std::string> built_options;
std::stringstream kernel_name_ss;
kernel_name_ss << "-D" << kernel_name << "=" << obfuscated_kernel_name;
built_options.emplace(kernel_name_ss.str());
if (runtime->IsNonUniformWorkgroupsSupported()) {
built_options.emplace("-DNON_UNIFORM_WORK_GROUP");
}
if (buffer->dtype() == image->dtype()) {
built_options.emplace("-DDATA_TYPE=" + DtToCLDt(DataTypeToEnum<float>::value));
built_options.emplace("-DCMD_DATA_TYPE=" +
DtToCLCMDDt(DataTypeToEnum<float>::value));
} else {
built_options.emplace("-DDATA_TYPE=" +
DtToUpstreamCLDt(DataTypeToEnum<float>::value));
built_options.emplace("-DCMD_DATA_TYPE=" +
DtToUpstreamCLCMDDt(DataTypeToEnum<float>::value));
}
if (runtime->IsOutOfRangeCheckEnabled()) {
built_options.emplace("-DOUT_OF_RANGE_CHECK");
kernel_error = std::move(std::unique_ptr<Buffer>(
new Buffer(GetDeviceAllocator(DeviceType::OPENCL), 1)));
kernel_error->Map(nullptr);
*(kernel_error->mutable_data<char>()) = '0';
kernel_error->UnMap();
}
auto b2f_kernel = runtime->BuildKernel("buffer_to_image",
obfuscated_kernel_name, built_options);
uint32_t idx = 0;
if (runtime->IsOutOfRangeCheckEnabled()) {
b2f_kernel.setArg(idx++,
*(static_cast<cl::Buffer *>(kernel_error->buffer())));
}
if (!runtime->IsNonUniformWorkgroupsSupported()) {
b2f_kernel.setArg(idx++, gws[0]);
b2f_kernel.setArg(idx++, gws[1]);
}
b2f_kernel.setArg(idx++, *(buffer->opencl_buffer()));
MACE_CHECK(buffer->buffer_offset() % GetEnumTypeSize(buffer->dtype()) == 0,
"buffer offset not aligned");
b2f_kernel.setArg(idx++,
static_cast<uint32_t>(buffer->buffer_offset() /
GetEnumTypeSize(buffer->dtype())));
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(1)));
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(2)));
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(3)));
b2f_kernel.setArg(idx++, *(image->opencl_image()));
const uint32_t kwg_size =
static_cast<uint32_t>(runtime->GetKernelMaxWorkGroupSize(b2f_kernel));
const std::vector<uint32_t> lws = {16, kwg_size / 16};
cl::Event event;
cl_int error;
if (runtime->IsNonUniformWorkgroupsSupported()) {
error = runtime->command_queue().enqueueNDRangeKernel(
b2f_kernel, cl::NullRange, cl::NDRange(gws[0], gws[1]),
cl::NDRange(lws[0], lws[1]), nullptr, &event);
} else {
std::vector<uint32_t> roundup_gws(lws.size());
for (size_t i = 0; i < lws.size(); ++i) {
roundup_gws[i] = RoundUp(gws[i], lws[i]);
}
error = runtime->command_queue().enqueueNDRangeKernel(
b2f_kernel, cl::NullRange, cl::NDRange(roundup_gws[0], roundup_gws[1]),
cl::NDRange(lws[0], lws[1]), nullptr, &event);
}
MACE_CHECK_CL_SUCCESS(error);
runtime->command_queue().finish();
bool is_out_of_range = false;
if (runtime->IsOutOfRangeCheckEnabled()) {
kernel_error->Map(nullptr);
is_out_of_range = *(kernel_error->mutable_data<char>()) == '1' ? true : false;
kernel_error->UnMap();
}
return is_out_of_range;
}
} // namespace
class OutOfRangeCheckTest : public ::testing::Test {
protected:
virtual void SetUp() {
setenv("MACE_OUT_OF_RANGE_CHECK", "1", 1);
}
};
TEST(OutOfRangeCheckTest, RandomTest) {
static unsigned int seed = time(NULL);
index_t batch = 11 + rand_r(&seed) % 10;
index_t height = 12 + rand_r(&seed) % 100;
index_t width = 13 + rand_r(&seed) % 100;
index_t channels = 14 + rand_r(&seed) % 50;
std::vector<index_t> buffer_shape = {batch, height, width, channels};
Workspace ws;
Tensor *buffer = ws.CreateTensor("Buffer",
GetDeviceAllocator(DeviceType::OPENCL),
DataTypeToEnum<float>::v());
buffer->Resize(buffer_shape);
std::vector<size_t> image_shape;
Tensor *image = ws.CreateTensor("Image",
GetDeviceAllocator(DeviceType::OPENCL),
DataTypeToEnum<float>::v());
CalImage2DShape(buffer->shape(), IN_OUT_CHANNEL, &image_shape);
image->ResizeImage(buffer->shape(), image_shape);
ASSERT_FALSE(BufferToImageOpImpl(buffer, image, image_shape));
std::vector<size_t> overflow_image_shape = image_shape;
for (int i = 0; i < overflow_image_shape.size(); ++i) {
overflow_image_shape[i] += 1;
}
ASSERT_TRUE(BufferToImageOpImpl(buffer, image, overflow_image_shape));
}
} // namespace kernels
} // namespace mace
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