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Add config for TensorRT and CUDA execution provider (#992)

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Signed-off-by: manickavela1998@gmail.com <manickavela1998@gmail.com>
Signed-off-by: manickavela1998@gmail.com <manickavela.arumugam@uniphore.com>
This commit is contained in:
Manix
2024-07-05 12:48:37 +05:30
committed by GitHub
parent f5e9a162d1
commit 55decb7bee
21 changed files with 622 additions and 49 deletions
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72
sherpa-onnx/python/csrc/tensorrt-config.cc Normal file
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// sherpa-onnx/python/csrc/tensorrt-config.cc
//
// Copyright (c) 2024 Uniphore (Author: Manickavela A)
#include "sherpa-onnx/python/csrc/tensorrt-config.h"
#include <string>
#include <memory>
#include "sherpa-onnx/csrc/provider-config.h"
namespace sherpa_onnx {
void PybindTensorrtConfig(py::module *m) {
using PyClass = TensorrtConfig;
py::class_<PyClass>(*m, "TensorrtConfig")
.def(py::init<>())
.def(py::init([](int32_t trt_max_workspace_size,
int32_t trt_max_partition_iterations,
int32_t trt_min_subgraph_size,
bool trt_fp16_enable,
bool trt_detailed_build_log,
bool trt_engine_cache_enable,
bool trt_timing_cache_enable,
const std::string &trt_engine_cache_path,
const std::string &trt_timing_cache_path,
bool trt_dump_subgraphs) -> std::unique_ptr<PyClass> {
auto ans = std::make_unique<PyClass>();
ans->trt_max_workspace_size = trt_max_workspace_size;
ans->trt_max_partition_iterations = trt_max_partition_iterations;
ans->trt_min_subgraph_size = trt_min_subgraph_size;
ans->trt_fp16_enable = trt_fp16_enable;
ans->trt_detailed_build_log = trt_detailed_build_log;
ans->trt_engine_cache_enable = trt_engine_cache_enable;
ans->trt_timing_cache_enable = trt_timing_cache_enable;
ans->trt_engine_cache_path = trt_engine_cache_path;
ans->trt_timing_cache_path = trt_timing_cache_path;
ans->trt_dump_subgraphs = trt_dump_subgraphs;
return ans;
}),
py::arg("trt_max_workspace_size") = 2147483647,
py::arg("trt_max_partition_iterations") = 10,
py::arg("trt_min_subgraph_size") = 5,
py::arg("trt_fp16_enable") = true,
py::arg("trt_detailed_build_log") = false,
py::arg("trt_engine_cache_enable") = true,
py::arg("trt_timing_cache_enable") = true,
py::arg("trt_engine_cache_path") = ".",
py::arg("trt_timing_cache_path") = ".",
py::arg("trt_dump_subgraphs") = false)
.def_readwrite("trt_max_workspace_size",
&PyClass::trt_max_workspace_size)
.def_readwrite("trt_max_partition_iterations",
&PyClass::trt_max_partition_iterations)
.def_readwrite("trt_min_subgraph_size", &PyClass::trt_min_subgraph_size)
.def_readwrite("trt_fp16_enable", &PyClass::trt_fp16_enable)
.def_readwrite("trt_detailed_build_log",
&PyClass::trt_detailed_build_log)
.def_readwrite("trt_engine_cache_enable",
&PyClass::trt_engine_cache_enable)
.def_readwrite("trt_timing_cache_enable",
&PyClass::trt_timing_cache_enable)
.def_readwrite("trt_engine_cache_path", &PyClass::trt_engine_cache_path)
.def_readwrite("trt_timing_cache_path", &PyClass::trt_timing_cache_path)
.def_readwrite("trt_dump_subgraphs", &PyClass::trt_dump_subgraphs)
.def("__str__", &PyClass::ToString)
.def("validate", &PyClass::Validate);
}
} // namespace sherpa_onnx