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/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* 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.
*/
#
include
"
utils.h
"
#
if
defined(_WIN32)
#
if
!defined(WIN32_LEAN_AND_MEAN)
#
define
WIN32_LEAN_AND_MEAN
#
endif
//
defined(WIN32_LEAN_AND_MEAN)
#
define
NOMINMAX
#
include
<
windows.h
>
#
else
//
defined(_WIN32)
#
include
<
dlfcn.h
>
#
endif
//
defined(_WIN32)
namespace
tensorrt
{
namespace
utils
{
void
issueDeprecationWarning
(
char
const
* useInstead)
{
std::string msg{
"
Use
"
+ std::string{useInstead} +
"
instead.
"
};
py::gil_scoped_acquire acquire{};
PyErr_WarnEx
(PyExc_DeprecationWarning, msg.
c_str
(),
1
);
}
void
*
nvdllOpen
(
char
const
* libName)
{
std::ostringstream fullLibName;
#
if
defined(_WIN32)
fullLibName <<
"
nv
"
<< libName <<
"
.dll
"
;
std::string strFullLibName = fullLibName.
str
();
return
static_cast
<
void
*>(
LoadLibraryA
(strFullLibName.
c_str
()));
#
else
//
defined(_WIN32)
fullLibName <<
"
lib
"
<< libName <<
"
.so.1
"
;
std::string strFullLibName = fullLibName.
str
();
return
dlopen
(strFullLibName.
c_str
(),
RTLD_LAZY
);
#
endif
//
defined(_WIN32)
}
void
dllClose
(
void
* handle)
{
if
(handle)
{
#
if
defined(_WIN32)
FreeLibrary
(
static_cast
<
HMODULE
>(handle));
#
else
//
defined(_WIN32)
dlclose
(handle);
#
endif
//
defined(_WIN32)
}
}
void
*
dllGetSym
(
void
* handle,
char
const
* name)
{
#
if
defined(_WIN32)
return
GetProcAddress
(
static_cast
<
HMODULE
>(handle), name);
#
else
//
defined(_WIN32)
return
dlsym
(handle, name);
#
endif
//
defined(_WIN32)
}
//
Returns the size in bytes of the specified data type.
size_t
size
(nvinfer1::DataType type)
{
switch
(type)
{
case
nvinfer1::DataType::
kFLOAT
:
return
4
;
case
nvinfer1::DataType::
kHALF
:
return
2
;
case
nvinfer1::DataType::
kINT8
:
return
1
;
case
nvinfer1::DataType::
kINT32
:
return
4
;
case
nvinfer1::DataType::
kINT64
:
return
8
;
case
nvinfer1::DataType::
kBOOL
:
return
1
;
case
nvinfer1::DataType::
kUINT8
:
return
1
;
case
nvinfer1::DataType::
kFP8
:
return
1
;
case
nvinfer1::DataType::
kE8M0
:
return
1
;
case
nvinfer1::DataType::
kBF16
:
return
2
;
case
nvinfer1::DataType::
kINT4
:
case
nvinfer1::DataType::
kFP4
:
break
;
//
TRT-22011 - need to address sub-byte element size
}
return
-
1
;
}
std::unique_ptr<py::dtype>
nptype
(nvinfer1::DataType type)
{
auto
const
makeDtype = [](
char
const
* typeStr) {
return
std::make_unique<py::dtype>(typeStr); };
switch
(type)
{
case
nvinfer1::DataType::
kFLOAT
:
return
makeDtype
(
"
f4
"
);
case
nvinfer1::DataType::
kHALF
:
return
makeDtype
(
"
f2
"
);
case
nvinfer1::DataType::
kINT8
:
return
makeDtype
(
"
i1
"
);
case
nvinfer1::DataType::
kINT32
:
return
makeDtype
(
"
i4
"
);
case
nvinfer1::DataType::
kINT64
:
return
makeDtype
(
"
i8
"
);
case
nvinfer1::DataType::
kBOOL
:
return
makeDtype
(
"
b1
"
);
case
nvinfer1::DataType::
kUINT8
:
return
makeDtype
(
"
u1
"
);
case
nvinfer1::DataType::
kFP8
:
case
nvinfer1::DataType::
kBF16
:
case
nvinfer1::DataType::
kINT4
:
case
nvinfer1::DataType::
kFP4
:
case
nvinfer1::DataType::
kE8M0
:
return
nullptr
;
}
return
nullptr
;
}
nvinfer1::DataType
type
(py::dtype
const
& type)
{
if
(type.
is
(
py::dtype
(
"
f4
"
)))
{
return
nvinfer1::DataType::
kFLOAT
;
}
else
if
(type.
is
(
py::dtype
(
"
f2
"
)))
{
return
nvinfer1::DataType::
kHALF
;
}
else
if
(type.
is
(
py::dtype
(
"
i8
"
)))
{
return
nvinfer1::DataType::
kINT64
;
}
else
if
(type.
is
(
py::dtype
(
"
i4
"
)))
{
return
nvinfer1::DataType::
kINT32
;
}
else
if
(type.
is
(
py::dtype
(
"
i1
"
)))
{
return
nvinfer1::DataType::
kINT8
;
}
else
if
(type.
is
(
py::dtype
(
"
b1
"
)))
{
return
nvinfer1::DataType::
kBOOL
;
}
else
if
(type.
is
(
py::dtype
(
"
u1
"
)))
{
return
nvinfer1::DataType::
kUINT8
;
}
int32_t
constexpr
kBITS_PER_BYTE
{
8
};
std::stringstream ss{};
ss <<
"
[TRT] [E] Could not implicitly convert NumPy data type:
"
<< type.
kind
()
<< (type.
itemsize
() *
kBITS_PER_BYTE
) <<
"
to TensorRT.
"
;
std::cerr << ss.
str
() << std::endl;
PY_ASSERT_VALUE_ERROR
(
false
, ss.
str
());
return
nvinfer1::DataType::
kFLOAT
;
}
void
throwPyError
(PyObject* type, std::string
const
& message)
{
PyErr_SetString
(type, message.
data
());
throw
py::error_already_set
();
}
}
//
namespace utils
}
//
namespace tensorrt
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