mirror of
https://github.com/intel/linux-sgx
synced 2026-06-08 14:49:32 +00:00
Li, Xun
effae62802
Along with the latest processor microcode and re-signed all the Intel(R) SGX Architecture Enclaves (AEs) to address CVE-2022-21123, CVE-2022-21125 and CVE-2022-21166. Upgraded to Protobuf 3.20. Upgraded to SgxSSL/OpenSSL 1.1.1o. Added Intel TDX Attestation support. Added Rust support for ECDSA quote verification. Fixed bugs. Signed-off-by: Li, Xun <xun.li@intel.com>
122 lines
4.6 KiB
C++
122 lines
4.6 KiB
C++
/*
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* Copyright (C) 2011-2021 Intel Corporation. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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* * Neither the name of Intel Corporation nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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*/
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#ifndef EXAMPLE_UTILS_HPP
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#define EXAMPLE_UTILS_HPP
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#include <algorithm>
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#include <iostream>
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#include <stdlib.h>
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#include <string>
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#include "dnnl.hpp"
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extern "C" int printf(const char *fmt, ...);
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static dnnl::engine::kind parse_engine_kind(
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int argc, char **argv, int extra_args = 0) {
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// Returns default engine kind, i.e. CPU, if none given
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if (argc == 1) {
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return dnnl::engine::kind::cpu;
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} else if (argc <= extra_args + 2) {
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std::string engine_kind_str = argv[1];
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// Checking the engine type, i.e. CPU or GPU
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if (engine_kind_str == "cpu") {
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return dnnl::engine::kind::cpu;
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} else if (engine_kind_str == "gpu") {
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// Checking if a GPU exists on the machine
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if (dnnl::engine::get_count(dnnl::engine::kind::gpu) == 0) {
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printf("Application couldn't find GPU, please run with CPU instead. Thanks!\n");
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abort();
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}
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return dnnl::engine::kind::gpu;
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}
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}
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// If all above fails, the example should be ran properly
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printf("Please run example like this: cpu|gpu");
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abort();
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}
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// Read from memory, write to handle
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inline void read_from_dnnl_memory(void *handle, dnnl::memory &mem) {
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dnnl::engine eng = mem.get_engine();
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size_t bytes = mem.get_desc().get_size();
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if (eng.get_kind() == dnnl::engine::kind::cpu) {
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uint8_t *src = static_cast<uint8_t *>(mem.get_data_handle());
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for (size_t i = 0; i < bytes; ++i)
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((uint8_t *)handle)[i] = src[i];
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}
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#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
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else if (eng.get_kind() == dnnl::engine::kind::gpu) {
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dnnl::stream s(eng);
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cl_command_queue q = s.get_ocl_command_queue();
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cl_mem m = mem.get_ocl_mem_object();
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cl_int ret = clEnqueueReadBuffer(
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q, m, CL_TRUE, 0, bytes, handle, 0, NULL, NULL);
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if (ret != CL_SUCCESS)
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throw std::runtime_error("clEnqueueReadBuffer failed. Status Code: "
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+ std::to_string(ret) + "\n");
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}
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#endif
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}
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// Read from handle, write to memory
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inline void write_to_dnnl_memory(void *handle, dnnl::memory &mem) {
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dnnl::engine eng = mem.get_engine();
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size_t bytes = mem.get_desc().get_size();
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if (eng.get_kind() == dnnl::engine::kind::cpu) {
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uint8_t *dst = static_cast<uint8_t *>(mem.get_data_handle());
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for (size_t i = 0; i < bytes; ++i)
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dst[i] = ((uint8_t *)handle)[i];
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}
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#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
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else if (eng.get_kind() == dnnl::engine::kind::gpu) {
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dnnl::stream s(eng);
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cl_command_queue q = s.get_ocl_command_queue();
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cl_mem m = mem.get_ocl_mem_object();
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size_t bytes = mem.get_desc().get_size();
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cl_int ret = clEnqueueWriteBuffer(
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q, m, CL_TRUE, 0, bytes, handle, 0, NULL, NULL);
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if (ret != CL_SUCCESS)
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throw std::runtime_error(
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"clEnqueueWriteBuffer failed. Status Code: "
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+ std::to_string(ret) + "\n");
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}
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#endif
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}
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#endif
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