From c23f0fd13cbbdcdc94fc5a1fa47ad142ab8b1b1f Mon Sep 17 00:00:00 2001 From: nhynes Date: Fri, 6 Jul 2018 10:17:52 -0700 Subject: [PATCH] Move SGX enclave signing key to gist (#1393) --- nnvm/examples/sgx/.gitignore | 2 - nnvm/examples/sgx/Makefile | 102 ------------------- nnvm/examples/sgx/README.md | 39 -------- nnvm/examples/sgx/app.cc | 135 -------------------------- nnvm/examples/sgx/build_model.py | 74 -------------- nnvm/examples/sgx/enclave.cc | 98 ------------------- nnvm/examples/sgx/enclave_config.xml | 11 --- nnvm/examples/sgx/enclave_private.pem | 39 -------- nnvm/examples/sgx/model.edl | 7 -- nnvm/examples/sgx/run_example.sh | 7 -- 10 files changed, 514 deletions(-) delete mode 100644 nnvm/examples/sgx/.gitignore delete mode 100644 nnvm/examples/sgx/Makefile delete mode 100644 nnvm/examples/sgx/README.md delete mode 100644 nnvm/examples/sgx/app.cc delete mode 100644 nnvm/examples/sgx/build_model.py delete mode 100644 nnvm/examples/sgx/enclave.cc delete mode 100644 nnvm/examples/sgx/enclave_config.xml delete mode 100644 nnvm/examples/sgx/enclave_private.pem delete mode 100644 nnvm/examples/sgx/model.edl delete mode 100755 nnvm/examples/sgx/run_example.sh diff --git a/nnvm/examples/sgx/.gitignore b/nnvm/examples/sgx/.gitignore deleted file mode 100644 index 25f8f1058cab8..0000000000000 --- a/nnvm/examples/sgx/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -lib/ -bin/ diff --git a/nnvm/examples/sgx/Makefile b/nnvm/examples/sgx/Makefile deleted file mode 100644 index 490de0aa5ba29..0000000000000 --- a/nnvm/examples/sgx/Makefile +++ /dev/null @@ -1,102 +0,0 @@ -# Makefile for example to deploy TVM modules in SGX. - -PYTHON ?= python - -NNVM_ROOT := $(shell cd ../../; pwd) -TVM_ROOT := $(NNVM_ROOT)/tvm -DMLC_CORE_ROOT := $(NNVM_ROOT)/dmlc-core - -SGX_SDK ?= /opt/sgxsdk -SGX_MODE ?= SIM -SGX_ARCH ?= x64 -SGX_DEBUG ?= 1 - -sgx_edger8r := $(SGX_SDK)/bin/x64/sgx_edger8r -sgx_enclave_signer := $(SGX_SDK)/bin/x64/sgx_sign - -ifneq ($(SGX_MODE), HW) - sgx_sim := _sim -endif -urts_library_name := sgx_urts$(sgx_sim) -trts_library_name := sgx_trts$(sgx_sim) -tservice_library_name := sgx_tservice$(sgx_sim) -uservice_library_name := sgx_uae_service$(sgx_sim) - -pkg_cflags := -std=c++11 -O2 -fPIC\ - -I$(NNVM_ROOT)/include\ - -I$(NNVM_ROOT)\ - -I$(TVM_ROOT)/include\ - -I$(TVM_ROOT)/dlpack/include\ - -I$(DMLC_CORE_ROOT)/include\ - -DDMLC_LOG_STACK_TRACE=0\ - -pkg_ldflags := -L$(TVM_ROOT)/lib - -enclave_include_paths := -I$(SGX_SDK)/include\ - -I$(SGX_SDK)/include/tlibc\ - -I$(SGX_SDK)/include/libcxx\ - -I$(SGX_SDK)/include/stdc++\ - -enclave_cflags := -static -nostdinc\ - -fvisibility=hidden -fpie -fstack-protector-strong\ - -ffunction-sections -fdata-sections\ - -DDMLC_CXX11_THREAD_LOCAL=0\ - $(enclave_include_paths)\ - -enclave_cxxflags := -nostdinc++ $(enclave_cflags) - -enclave_ldflags :=\ - -Wl,--no-undefined -nostdlib -nodefaultlibs -nostartfiles -L$(SGX_SDK)/lib64\ - -Wl,--whole-archive -l$(trts_library_name) -Wl,--no-whole-archive\ - -Wl,--start-group\ - -lsgx_tstdc -lsgx_tstdcxx -lsgx_tcxx -lsgx_tcrypto -lsgx_tkey_exchange -l$(tservice_library_name)\ - -Wl,--end-group\ - -Wl,-Bstatic -Wl,-Bsymbolic -Wl,--no-undefined\ - -Wl,-pie,-eenclave_entry -Wl,--export-dynamic\ - -Wl,--defsym,__ImageBase=0 -Wl,--gc-sections - -app_cflags := -I$(SGX_SDK)/include -Ilib - -app_ldflags := -L$(SGX_SDK)/lib64\ - -l$(urts_library_name) -l$(uservice_library_name) -lpthread\ - -.PHONY: clean all - -all: lib/model.signed.so bin/run_model - -# The code library built by TVM -lib/deploy_%.o: build_model.py - @mkdir -p $(@D) - $(PYTHON) build_model.py - -# EDL files -lib/model_%.c: model.edl $(sgx_edger8r) - @mkdir -p $(@D) - $(sgx_edger8r) $< --trusted-dir $(@D) --untrusted-dir $(@D) --search-path $(SGX_SDK)/include - -lib/model_%.o: lib/model_%.c - $(CC) $(enclave_cflags) -c $< -o $@ - -# The enclave library -lib/model.so: enclave.cc $(TVM_ROOT)/sgx/sgx_runtime.cc lib/model_t.o lib/deploy_lib.o - $(CXX) $^ -o $@ $(pkg_cflags) $(pkg_ldflags) $(enclave_cxxflags) $(enclave_ldflags)\ - -Wl,--format=binary -Wl,lib/deploy_graph.json -Wl,lib/deploy_params.bin -Wl,--format=default - -# The signed enclave -lib/model.signed.so: lib/model.so enclave_config.xml - $(sgx_enclave_signer) sign -key enclave_private.pem -enclave $< -out $@ -config enclave_config.xml - -# An app that runs the enclave -bin/run_model: app.cc lib/model_u.o - @mkdir -p $(@D) - $(CXX) $^ -o $@ $(app_cflags) $(app_ldflags) - -# Debugging binary that runs TVM without SGX -bin/run_model_nosgx: enclave.cc $(TVM_ROOT)/sgx/sgx_runtime.cc lib/deploy_lib.o - @mkdir -p $(@D) - $(CXX) $^ -o $@ $(pkg_cflags) $(pkg_ldflags)\ - -Wl,--format=binary -Wl,lib/deploy_graph.json -Wl,lib/deploy_params.bin -Wl,--format=default - - -clean: - rm -rf lib bin diff --git a/nnvm/examples/sgx/README.md b/nnvm/examples/sgx/README.md deleted file mode 100644 index 97ec1fcfca578..0000000000000 --- a/nnvm/examples/sgx/README.md +++ /dev/null @@ -1,39 +0,0 @@ -# TVM in Intel SGX Example - -This application demonstrates running a ResNet18 using NNVM inside of an -[Intel SGX](https://software.intel.com/en-us/blogs/2013/09/26/protecting-application-secrets-with-intel-sgx) trusted computing environment. - -## Prerequisites - -1. A GNU/Linux environment -2. NNVM, TVM compiled with LLVM, and their corresponding Python modules -3. The [Linux SGX SDK](https://github.com/intel/linux-sgx) [link to pre-built libraries](https://01.org/intel-software-guard-extensions/downloads) -4. `pip install --user mxnet pillow` - -## Running the example - -`SGX_SDK=/path/to/sgxsdk bash run_example.sh` - -If everything goes well, you should see a lot of build messages and below them -the text `It's a tabby!`. - -## High-level overview - -First of all, it helps to think of an SGX enclave as a library that can be called -to perform trusted computation. -In this library, one can use other libraries like TVM. - -Building this example performs the following steps: - -1. Downloads a pre-trained MXNet ResNet and a - [test image](https://github.com/BVLC/caffe/blob/master/examples/images/cat.jpg) -2. Converts the ResNet to an NNVM graph + library -3. Links the graph JSON definition, params, and runtime library into into an SGX - enclave along with some code that performs inference. -4. Compiles and runs an executable that loads the enclave and requests that it perform - inference on the image. - which invokes the TVM module. - -For more information on building, please refer to the `Makefile`. -For more information on the TVM module, please refer to `../howto_deploy`. -For more in formation on SGX enclaves, please refer to the [SGX Enclave Demo](https://github.com/intel/linux-sgx/tree/master/SampleCode/SampleEnclave/) diff --git a/nnvm/examples/sgx/app.cc b/nnvm/examples/sgx/app.cc deleted file mode 100644 index 001c0d71d69e3..0000000000000 --- a/nnvm/examples/sgx/app.cc +++ /dev/null @@ -1,135 +0,0 @@ -#include -#include -#include -#include - -#include "sgx_urts.h" -#include "sgx_eid.h" -#include "model_u.h" - -#define TOKEN_FILENAME "bin/enclave.token" -#define ENCLAVE_FILENAME "lib/model.signed.so" - -sgx_enclave_id_t global_eid = 0; // global EID shared by multiple threads - -typedef struct _sgx_errlist_t { - sgx_status_t err; - const char *msg; -} sgx_errlist_t; - -/* Error code returned by sgx_create_enclave */ -static sgx_errlist_t sgx_errlist[] = { - { SGX_ERROR_DEVICE_BUSY, "SGX device was busy." }, - { SGX_ERROR_ENCLAVE_FILE_ACCESS, "Can't open enclave file." }, - { SGX_ERROR_ENCLAVE_LOST, "Power transition occurred." }, - { SGX_ERROR_INVALID_ATTRIBUTE, "Enclave was not authorized." }, - { SGX_ERROR_INVALID_ENCLAVE, "Invalid enclave image." }, - { SGX_ERROR_INVALID_ENCLAVE_ID, "Invalid enclave identification." }, - { SGX_ERROR_INVALID_METADATA, "Invalid enclave metadata." }, - { SGX_ERROR_INVALID_PARAMETER, "Invalid parameter." }, - { SGX_ERROR_INVALID_SIGNATURE, "Invalid enclave signature." }, - { SGX_ERROR_INVALID_VERSION, "Enclave version was invalid." }, - { SGX_ERROR_MEMORY_MAP_CONFLICT, "Memory map conflicted." }, - { SGX_ERROR_NO_DEVICE, "Invalid SGX device." }, - { SGX_ERROR_OUT_OF_EPC, "Out of EPC memory." }, - { SGX_ERROR_OUT_OF_MEMORY, "Out of memory." }, - { SGX_ERROR_UNEXPECTED, "Unexpected error occurred." }, -}; - -/* Check error conditions for loading enclave */ -void print_error_message(sgx_status_t status) -{ - size_t idx = 0; - size_t ttl = sizeof sgx_errlist/sizeof sgx_errlist[0]; - - for (idx = 0; idx < ttl; idx++) { - if(status == sgx_errlist[idx].err) { - printf("Error: %s\n", sgx_errlist[idx].msg); - break; - } - } - - if (idx == ttl) - printf("Error code is 0x%X. Please refer to the \"Intel SGX SDK Developer Reference\" for more details.\n", status); -} - -/* Initialize the enclave: - * Step 1: try to retrieve the launch token saved by last transaction - * Step 2: call sgx_create_enclave to initialize an enclave instance - * Step 3: save the launch token if it is updated - */ -int initialize_enclave(void) -{ - sgx_launch_token_t token = {0}; - sgx_status_t sgx_status = SGX_ERROR_UNEXPECTED; - int updated = 0; - - /* Step 1: try to retrieve the launch token saved by last transaction - * if there is no token, then create a new one. - */ - FILE *fp = fopen(TOKEN_FILENAME, "rb"); - if (fp == NULL && (fp = fopen(TOKEN_FILENAME, "wb")) == NULL) { - printf("Warning: Failed to create/open the launch token file \"%s\".\n", TOKEN_FILENAME); - return -1; - } - - /* read the token from saved file */ - size_t read_num = fread(token, 1, sizeof(sgx_launch_token_t), fp); - if (read_num != 0 && read_num != sizeof(sgx_launch_token_t)) { - /* if token is invalid, clear the buffer */ - memset(&token, 0x0, sizeof(sgx_launch_token_t)); - printf("Warning: Invalid launch token read from \"%s\".\n", TOKEN_FILENAME); - } - - /* Step 2: call sgx_create_enclave to initialize an enclave instance */ - /* Debug Support: set 2nd parameter to 1 */ - sgx_status = sgx_create_enclave(ENCLAVE_FILENAME, SGX_DEBUG_FLAG, &token, &updated, &global_eid, NULL); - if (sgx_status != SGX_SUCCESS) { - print_error_message(sgx_status); - if (fp != NULL) fclose(fp); - return -1; - } - - /* Step 3: save the launch token if it is updated */ - if (updated == 0 || fp == NULL) { - /* if the token is not updated, or file handler is invalid, do not perform saving */ - if (fp != NULL) fclose(fp); - return 0; - } - - /* reopen the file with write capablity */ - fp = freopen(TOKEN_FILENAME, "wb", fp); - if (fp == NULL) return 0; - size_t write_num = fwrite(token, 1, sizeof(sgx_launch_token_t), fp); - if (write_num != sizeof(sgx_launch_token_t)) - printf("Warning: Failed to save launch token to \"%s\".\n", TOKEN_FILENAME); - fclose(fp); - return 0; -} - -int SGX_CDECL main(int argc, char *argv[]) { - if(initialize_enclave() < 0){ - printf("Failed to initialize enclave.\n"); - return -1; - } - - std::ifstream f_img("bin/cat.bin", std::ios::binary); - std::string img(static_cast( - std::stringstream() << f_img.rdbuf()).str()); - - unsigned predicted_class; - sgx_status_t sgx_status = SGX_ERROR_UNEXPECTED; - sgx_status = ecall_infer(global_eid, &predicted_class, img.c_str()); - if (sgx_status != SGX_SUCCESS) { - print_error_message(sgx_status); - } - - sgx_destroy_enclave(global_eid); - if (predicted_class == 281) { - std::cout << "It's a tabby!" << std::endl; - return 0; - } - std::cerr << "Inference failed! Predicted class: " << - predicted_class << std::endl; - return 1; -} diff --git a/nnvm/examples/sgx/build_model.py b/nnvm/examples/sgx/build_model.py deleted file mode 100644 index df3220afa8409..0000000000000 --- a/nnvm/examples/sgx/build_model.py +++ /dev/null @@ -1,74 +0,0 @@ -"""Creates a neural network graph module, the system library, and params. -Heavily inspired by tutorials/from_mxnet.py -""" -from __future__ import print_function -import ast -import os -from os import path as osp -import tempfile - -import mxnet as mx -from mxnet.gluon.model_zoo.vision import get_model -from mxnet.gluon.utils import download -import nnvm -import nnvm.compiler -import numpy as np -from PIL import Image -import tvm - - -EXAMPLE_ROOT = osp.abspath(osp.join(osp.dirname(__file__))) -BIN_DIR = osp.join(EXAMPLE_ROOT, 'bin') -LIB_DIR = osp.join(EXAMPLE_ROOT, 'lib') - -TVM_TARGET = 'llvm --system-lib' - - -def _download_model_and_image(out_dir): - mx_model = get_model('resnet18_v1', pretrained=True) - - img_path = osp.join(out_dir, 'cat.png') - bin_img_path = osp.join(out_dir, 'cat.bin') - download( - 'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true', - img_path) - img = Image.open(img_path).resize((224, 224)) - img = _transform_image(img) - img.astype('float32').tofile(bin_img_path) - shape_dict = {'data': img.shape} - - return mx_model, shape_dict - - -def _transform_image(image): - image = np.array(image) - np.array([123., 117., 104.]) - image /= np.array([58.395, 57.12, 57.375]) - image = image.transpose((2, 0, 1)) - image = image[np.newaxis, :] - return image - - -def main(): - # load the model, input image, and imagenet classes - mx_model, shape_dict = _download_model_and_image(BIN_DIR) - - # convert the model, add a softmax - sym, params = nnvm.frontend.from_mxnet(mx_model) - sym = nnvm.sym.softmax(sym) - - # build the graph - graph, lib, params = nnvm.compiler.build( - sym, TVM_TARGET, shape_dict, params=params) - - # save the built graph - if not osp.isdir(LIB_DIR): - os.mkdir(LIB_DIR) - lib.save(osp.join(LIB_DIR, 'deploy_lib.o')) - with open(osp.join(LIB_DIR, 'deploy_graph.json'), 'w') as f_graph_json: - f_graph_json.write(graph.json()) - with open(osp.join(LIB_DIR, 'deploy_params.bin'), 'wb') as f_params: - f_params.write(nnvm.compiler.save_param_dict(params)) - - -if __name__ == '__main__': - main() diff --git a/nnvm/examples/sgx/enclave.cc b/nnvm/examples/sgx/enclave.cc deleted file mode 100644 index f1210c91e046d..0000000000000 --- a/nnvm/examples/sgx/enclave.cc +++ /dev/null @@ -1,98 +0,0 @@ -#include -#include -#include -#include -#include -#include -#include "tvm/src/runtime/graph/graph_runtime.cc" -#ifndef _LIBCPP_SGX_CONFIG -#include -#include -#include -#include "tvm/src/runtime/file_util.cc" -#endif - -// the statically linked graph json and params -extern char _binary_lib_deploy_params_bin_start[]; -extern char _binary_lib_deploy_params_bin_end[]; -extern char _binary_lib_deploy_graph_json_start[]; -extern char _binary_lib_deploy_graph_json_end[]; - -int RunInference(const char* img) { - tvm::runtime::Module graph_lib = - (*tvm::runtime::Registry::Get("module._GetSystemLib"))(); - - size_t graph_json_size = ((size_t)_binary_lib_deploy_graph_json_end - - (size_t)_binary_lib_deploy_graph_json_start); - size_t graph_params_size = ((size_t)_binary_lib_deploy_params_bin_end - - (size_t)_binary_lib_deploy_params_bin_start); - std::string graph_json(_binary_lib_deploy_graph_json_start, graph_json_size); - std::string graph_params(_binary_lib_deploy_params_bin_start, graph_params_size); - - int device_type = kDLCPU; - int device_id = 0; - - TVMContext ctx; - ctx.device_type = static_cast(device_type); - ctx.device_id = device_id; - std::shared_ptr graph_rt = - std::make_shared(); - - graph_rt->Init(graph_json, graph_lib, ctx); - graph_rt->LoadParams(graph_params); - - DLTensor* input; - DLTensor* output; - int ndim = 2; - int dtype_code = kDLFloat; - int dtype_bits = 32; - int dtype_lanes = 1; - - int batch_size = 1; - int64_t input_shape[4] = {batch_size, 3, 224, 224}; - int64_t output_shape[1] = {1000 /* num_classes */}; - TVMArrayAlloc(input_shape, 4 /* ndim */, dtype_code, dtype_bits, dtype_lanes, - device_type, device_id, &input); - TVMArrayAlloc(output_shape, 1, dtype_code, dtype_bits, dtype_lanes, - device_type, device_id, &output); - memcpy(input->data, img, sizeof(float)*batch_size*3*224*224); - - graph_rt->SetInput(graph_rt->GetInputIndex("data"), input); - graph_rt->Run(); - graph_rt->GetOutput(0, output); - - float max_prob = 0; - unsigned max_class = -1; - for (int i = 0; i < 1000; ++i) { - float p = static_cast(output->data)[i]; - if (p > max_prob) { - max_prob = p; - max_class = i; - } - } - - return max_class; -} - - -extern "C" { -int ecall_infer(const char* img) { - return RunInference(img); -} -} - -#ifndef _LIBCPP_SGX_CONFIG -int main(void) { - std::ifstream f_img("bin/cat.bin", std::ios::binary); - std::string img(static_cast( - std::stringstream() << f_img.rdbuf()).str()); - unsigned predicted_class = RunInference(img.c_str()); - if (predicted_class == 281) { - std::cout << "It's a tabby!" << std::endl; - return 0; - } - std::cerr << "Inference failed! Predicted class: " << - predicted_class << std::endl; - return -1; -} -#endif diff --git a/nnvm/examples/sgx/enclave_config.xml b/nnvm/examples/sgx/enclave_config.xml deleted file mode 100644 index 923d58ec8bf3d..0000000000000 --- a/nnvm/examples/sgx/enclave_config.xml +++ /dev/null @@ -1,11 +0,0 @@ - - 0 - 0 - 0x2000 - 0x6794000 - 1 - 1 - 0 - 0 - 0xFFFFFFFF - diff --git a/nnvm/examples/sgx/enclave_private.pem b/nnvm/examples/sgx/enclave_private.pem deleted file mode 100644 index 529d07be3574f..0000000000000 --- a/nnvm/examples/sgx/enclave_private.pem +++ /dev/null @@ -1,39 +0,0 @@ ------BEGIN RSA PRIVATE KEY----- -MIIG4gIBAAKCAYEAroOogvsj/fZDZY8XFdkl6dJmky0lRvnWMmpeH41Bla6U1qLZ -AmZuyIF+mQC/cgojIsrBMzBxb1kKqzATF4+XwPwgKz7fmiddmHyYz2WDJfAjIveJ -ZjdMjM4+EytGlkkJ52T8V8ds0/L2qKexJ+NBLxkeQLfV8n1mIk7zX7jguwbCG1Pr -nEMdJ3Sew20vnje+RsngAzdPChoJpVsWi/K7cettX/tbnre1DL02GXc5qJoQYk7b -3zkmhz31TgFrd9VVtmUGyFXAysuSAb3EN+5VnHGr0xKkeg8utErea2FNtNIgua8H -ONfm9Eiyaav1SVKzPHlyqLtcdxH3I8Wg7yqMsaprZ1n5A1v/levxnL8+It02KseD -5HqV4rf/cImSlCt3lpRg8U5E1pyFQ2IVEC/XTDMiI3c+AR+w2jSRB3Bwn9zJtFlW -KHG3m1xGI4ck+Lci1JvWWLXQagQSPtZTsubxTQNx1gsgZhgv1JHVZMdbVlAbbRMC -1nSuJNl7KPAS/VfzAgEDAoIBgHRXxaynbVP5gkO0ug6Qw/E27wzIw4SmjsxG6Wpe -K7kfDeRskKxESdsA/xCrKkwGwhcx1iIgS5+Qscd1Yg+1D9X9asd/P7waPmWoZd+Z -AhlKwhdPsO7PiF3e1AzHhGQwsUTt/Y/aSI1MpHBvy2/s1h9mFCslOUxTmWw0oj/Q -ldIEgWeNR72CE2+jFIJIyml6ftnb6qzPiga8Bm48ubKh0kvySOqnkmnPzgh+JBD6 -JnBmtZbfPT97bwTT+N6rnPqOOApvfHPf15kWI8yDbprG1l4OCUaIUH1AszxLd826 -5IPM+8gINLRDP1MA6azECPjTyHXhtnSIBZCyWSVkc05vYmNXYUNiXWMajcxW9M02 -wKzFELO8NCEAkaTPxwo4SCyIjUxiK1LbQ9h8PSy4c1+gGP4LAMR8xqP4QKg6zdu9 -osUGG/xRe/uufgTBFkcjqBHtK5L5VI0jeNIUAgW/6iNbYXjBMJ0GfauLs+g1VsOm -WfdgXzsb9DYdMa0OXXHypmV4GwKBwQDUwQj8RKJ6c8cT4vcWCoJvJF00+RFL+P3i -Gx2DLERxRrDa8AVGfqaCjsR+3vLgG8V/py+z+dxZYSqeB80Qeo6PDITcRKoeAYh9 -xlT3LJOS+k1cJcEmlbbO2IjLkTmzSwa80fWexKu8/Xv6vv15gpqYl1ngYoqJM3pd -vzmTIOi7MKSZ0WmEQavrZj8zK4endE3v0eAEeQ55j1GImbypSf7Idh7wOXtjZ7WD -Dg6yWDrri+AP/L3gClMj8wsAxMV4ZR8CgcEA0fzDHkFa6raVOxWnObmRoDhAtE0a -cjUj976NM5yyfdf2MrKy4/RhdTiPZ6b08/lBC/+xRfV3xKVGzacm6QjqjZrUpgHC -0LKiZaMtccCJjLtPwQd0jGQEnKfMFaPsnhOc5y8qVkCzVOSthY5qhz0XNotHHFmJ -gffVgB0iqrMTvSL7IA2yqqpOqNRlhaYhNl8TiFP3gIeMtVa9rZy31JPgT2uJ+kfo -gV7sdTPEjPWZd7OshGxWpT6QfVDj/T9T7L6tAoHBAI3WBf2DFvxNL2KXT2QHAZ9t -k3imC4f7U+wSE6zILaDZyzygA4RUbwG0gv8/TJVn2P/Eynf76DuWHGlaiLWnCbSz -Az2DHBQBBaku409zDQym3j1ugMRjzzSQWzJg0SIyBH3hTmnYcn3+Uqcp/lEBvGW6 -O+rsXFt3pukqJmIV8HzLGGaLm62BHUeZf3dyWm+i3p/hQAL7Xvu04QW70xuGqdr5 -afV7p5eaeQIJXyGQJ0eylV/90+qxjMKiB1XYg6WYvwKBwQCL/ddpgOdHJGN8uRom -e7Zq0Csi3hGheMKlKbN3vcxT5U7MdyHtTZZOJbTvxKNNUNYH/8uD+PqDGNneb29G -BfGzvI3EASyLIcGZF3OhKwZd0jUrWk2y7Vhob91jwp2+t73vdMbkKyI4mHOuXvGv -fg95si9oO7EBT+Oqvhccd2J+F1IVXncccYnF4u5ZGWt5lLewN/pVr7MjjykeaHqN -t+rfnQam2psA6fL4zS2zTmZPzR2tnY8Y1GBTi0Ko1OKd1HMCgcAb5cB/7/AQlhP9 -yQa04PLH9ygQkKKptZp7dy5WcWRx0K/hAHRoi2aw1wZqfm7VBNu2SLcs90kCCCxp -6C5sfJi6b8NpNbIPC+sc9wsFr7pGo9SFzQ78UlcWYK2Gu2FxlMjonhka5hvo4zvg -WxlpXKEkaFt3gLd92m/dMqBrHfafH7VwOJY2zT3WIpjwuk0ZzmRg5p0pG/svVQEH -NZmwRwlopysbR69B/n1nefJ84UO50fLh5s5Zr3gBRwbWNZyzhXk= ------END RSA PRIVATE KEY----- diff --git a/nnvm/examples/sgx/model.edl b/nnvm/examples/sgx/model.edl deleted file mode 100644 index fd45cc318dbf8..0000000000000 --- a/nnvm/examples/sgx/model.edl +++ /dev/null @@ -1,7 +0,0 @@ -enclave { - from "sgx_tstdc.edl" import sgx_thread_wait_untrusted_event_ocall, sgx_thread_set_untrusted_event_ocall, sgx_thread_setwait_untrusted_events_ocall, sgx_thread_set_multiple_untrusted_events_ocall; - - trusted { - public unsigned ecall_infer([user_check] const char* img); - }; -}; diff --git a/nnvm/examples/sgx/run_example.sh b/nnvm/examples/sgx/run_example.sh deleted file mode 100755 index 4fd0e3f36a639..0000000000000 --- a/nnvm/examples/sgx/run_example.sh +++ /dev/null @@ -1,7 +0,0 @@ -#!/bin/bash - -sgx_sdk=${SGX_SDK:=/opt/sgxsdk} - -make -echo "=========================" -LD_LIBRARY_PATH="$sgx_sdk/lib64":${LD_LIBRARY_PATH} bin/run_model