oneAPI Deep Neural Network Library (oneDNN)
Performance library for Deep Learning
1.96.0
sycl_interop_buffer.cpp

Annotated version: Getting started on both CPU and GPU with SYCL extensions API

/*******************************************************************************
* Copyright 2019-2020 Intel Corporation
*
* 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.
*******************************************************************************/
// [Prologue]
#include "example_utils.hpp"
#include "oneapi/dnnl/dnnl_sycl.hpp"
#include <CL/sycl.hpp>
#include <cassert>
#include <iostream>
#include <numeric>
using namespace dnnl;
using namespace cl::sycl;
// [Prologue]
class kernel_tag;
void sycl_interop_buffer_tutorial(engine::kind engine_kind) {
// [Initialize engine]
engine eng(engine_kind, 0);
// [Initialize engine]
// [Initialize stream]
dnnl::stream strm(eng);
// [Initialize stream]
// [memory alloc]
memory::dims tz_dims = {2, 3, 4, 5};
const size_t N = std::accumulate(tz_dims.begin(), tz_dims.end(), (size_t)1,
std::multiplies<size_t>());
memory::desc mem_d(
// [memory alloc]
// [get sycl buf]
auto sycl_buf = sycl_interop::get_buffer<float>(mem);
// [get sycl buf]
// [sycl kernel exec]
queue q = sycl_interop::get_queue(strm);
q.submit([&](handler &cgh) {
auto a = sycl_buf.get_access<access::mode::write>(cgh);
cgh.parallel_for<kernel_tag>(range<1>(N), [=](id<1> i) {
int idx = (int)i[0];
a[idx] = (idx % 2) ? -idx : idx;
});
});
// [sycl kernel exec]
// [relu creation]
auto relu_d = eltwise_forward::desc(
auto relu_pd = eltwise_forward::primitive_desc(relu_d, eng);
auto relu = eltwise_forward(relu_pd);
// [relu creation]
// [relu exec]
relu.execute(strm, {{DNNL_ARG_SRC, mem}, {DNNL_ARG_DST, mem}});
strm.wait();
// [relu exec]
// [Check the results]
auto host_acc = sycl_buf.get_access<access::mode::read>();
for (size_t i = 0; i < N; i++) {
float exp_value = (i % 2) ? 0.0f : i;
if (host_acc[i] != (float)exp_value)
throw std::string(
"Unexpected output, find a negative value after the ReLU "
"execution.");
}
// [Check the results]
}
// [Main]
int main(int argc, char **argv) {
int exit_code = 0;
engine::kind engine_kind = parse_engine_kind(argc, argv);
try {
sycl_interop_buffer_tutorial(engine_kind);
} catch (dnnl::error &e) {
std::cout << "oneDNN error caught: " << std::endl
<< "\tStatus: " << dnnl_status2str(e.status) << std::endl
<< "\tMessage: " << e.what() << std::endl;
exit_code = 1;
} catch (std::string &e) {
std::cout << "Error in the example: " << e << "." << std::endl;
exit_code = 2;
}
std::cout << "Example " << (exit_code ? "failed" : "passed") << " on "
<< engine_kind2str_upper(engine_kind) << "." << std::endl;
return exit_code;
}
// [Main]