mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-30 20:18:08 +00:00
[TensorRT EP] c4996 suppression to build with trt10.2ga on Windows (#21358)
### Description <!-- Describe your changes. --> Supress C4996 deprecated api warning as errors as a walkaround to build ORT with TRT10.2GA on Windows ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Four apis were recently declared as deprecated, which are being used by core code of TRT EP. Temporally suppress deprecated api warnings before updating these apis
This commit is contained in:
parent
e5f18ba2c1
commit
db9ee35963
1 changed files with 70 additions and 0 deletions
|
|
@ -70,7 +70,14 @@ bool SetDynamicRange(nvinfer1::INetworkDefinition& network, std::unordered_map<s
|
|||
const std::string tensor_name = network.getInput(i)->getName();
|
||||
auto dynamic_range_iter = dynamic_range_map.find(tensor_name);
|
||||
if (dynamic_range_iter != dynamic_range_map.end()) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
if (!network.getInput(i)->setDynamicRange(-dynamic_range_iter->second, dynamic_range_iter->second)) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
LOGS_DEFAULT(ERROR) << "Failed to set dynamic range for network input " << tensor_name;
|
||||
return false;
|
||||
}
|
||||
|
|
@ -84,7 +91,14 @@ bool SetDynamicRange(nvinfer1::INetworkDefinition& network, std::unordered_map<s
|
|||
const std::string tensor_name = trt_layer->getOutput(j)->getName();
|
||||
auto dynamic_range_iter = dynamic_range_map.find(tensor_name);
|
||||
if (dynamic_range_iter != dynamic_range_map.end()) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
if (!trt_layer->getOutput(j)->setDynamicRange(-dynamic_range_iter->second, dynamic_range_iter->second)) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
LOGS_DEFAULT(ERROR) << "Failed to set dynamic range for tensor " << tensor_name;
|
||||
return false;
|
||||
}
|
||||
|
|
@ -122,7 +136,14 @@ bool SetDynamicRange(nvinfer1::INetworkDefinition& network, std::unordered_map<s
|
|||
}
|
||||
max_weight = std::max(max_weight, std::abs(weight));
|
||||
}
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
if (!trt_layer->getOutput(j)->setDynamicRange(static_cast<float>(-max_weight), static_cast<float>(max_weight))) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
LOGS_DEFAULT(ERROR) << "Failed to set dynamic range for layer " << const_layer_name;
|
||||
return false;
|
||||
}
|
||||
|
|
@ -2232,7 +2253,14 @@ SubGraphCollection_t TensorrtExecutionProvider::GetSupportedList(SubGraphCollect
|
|||
auto trt_network = std::unique_ptr<nvinfer1::INetworkDefinition>(trt_builder->createNetworkV2(network_flags));
|
||||
|
||||
auto trt_parser = tensorrt_ptr::unique_pointer<nvonnxparser::IParser>(nvonnxparser::createParser(*trt_network, trt_logger));
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
trt_parser->supportsModel(string_buf.data(), string_buf.size(), parser_nodes_list, model_path_);
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
|
||||
SubGraphCollection_t next_nodes_list;
|
||||
const std::vector<NodeIndex>& subgraph_node_index = graph_viewer->GetNodesInTopologicalOrder(1 /*priority-based topological sort*/);
|
||||
|
|
@ -3074,7 +3102,14 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromGraph(const GraphView
|
|||
} else {
|
||||
// Set INT8 per tensor dynamic range
|
||||
if (int8_enable_ && trt_builder->platformHasFastInt8() && int8_calibration_cache_available_) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
trt_config->setInt8Calibrator(nullptr);
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
if (!SetDynamicRange(*trt_network, dynamic_range_map)) {
|
||||
return ORT_MAKE_STATUS(ONNXRUNTIME, EP_FAIL,
|
||||
"TensorRT EP could not set INT8 dynamic range for fused node: " + fused_node.Name());
|
||||
|
|
@ -3193,7 +3228,14 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromGraph(const GraphView
|
|||
// Note: Creating an execution context from an engine is thread safe per TRT doc
|
||||
// https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#threading
|
||||
if (context_memory_sharing_enable_) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
size_t mem_size = trt_engine->getDeviceMemorySize();
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
if (mem_size > max_ctx_mem_size_) {
|
||||
max_ctx_mem_size_ = mem_size;
|
||||
}
|
||||
|
|
@ -3466,7 +3508,14 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromGraph(const GraphView
|
|||
|
||||
// Set INT8 Per Tensor Dynamic range
|
||||
if (trt_state->int8_enable && trt_builder->platformHasFastInt8() && trt_state->int8_calibration_cache_available) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
trt_config->setInt8Calibrator(nullptr);
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
if (!SetDynamicRange(*trt_state->network->get(), trt_state->dynamic_range_map)) {
|
||||
return ORT_MAKE_STATUS(ONNXRUNTIME, EP_FAIL, "TensorRT EP failed to set INT8 dynamic range.");
|
||||
}
|
||||
|
|
@ -3734,7 +3783,14 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromGraph(const GraphView
|
|||
|
||||
// Set execution context memory
|
||||
if (trt_state->context_memory_sharing_enable) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
size_t mem_size = trt_engine->getDeviceMemorySize();
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
if (mem_size > *max_context_mem_size_ptr) {
|
||||
*max_context_mem_size_ptr = mem_size;
|
||||
}
|
||||
|
|
@ -3865,7 +3921,14 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromPrecompiledEngine(con
|
|||
// Note: Creating an execution context from an engine is thread safe per TRT doc
|
||||
// https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#threading
|
||||
if (context_memory_sharing_enable_) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
size_t mem_size = trt_engine->getDeviceMemorySize();
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
if (mem_size > max_ctx_mem_size_) {
|
||||
max_ctx_mem_size_ = mem_size;
|
||||
}
|
||||
|
|
@ -4038,7 +4101,14 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromPrecompiledEngine(con
|
|||
|
||||
// Set execution context memory
|
||||
if (trt_state->context_memory_sharing_enable) {
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(push)
|
||||
#pragma warning(disable : 4996)
|
||||
#endif
|
||||
size_t mem_size = trt_engine->getDeviceMemorySize();
|
||||
#if defined(_MSC_VER)
|
||||
#pragma warning(pop)
|
||||
#endif
|
||||
if (mem_size > *max_context_mem_size_ptr) {
|
||||
*max_context_mem_size_ptr = mem_size;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue