Zlib 1.2.3 DLL and Library for Windows 64 bits - x64
dll_x64\zlibvc.sln : replace contrib\vstudio\vc8\zlibvc.sln of zlib 1.2.3 (minor fix)
dll_x64\zlibwapi.dll : DLL of Zlib 1.2.3 for Windows 64 bits x64 (AMD64/Intel EM64T)
dll_x64\zlibwapi.lib : The Import library of the DLL
dll_x64\demo\miniunz.exe: sample which uses the DLL
dll_x64\demo\minizip.exe: sample which uses the DLL
dll_x64\demo\testzlib.exe: sample which uses the DLL
static_x64\zlibstat.lib
These binary were build using Platform SDK windows 2003 SP1 compiler
The zlib.h must be the version from zlib123.zip / zlib-1.2.3.tar.gz
Note :
the DLLuses the WINAPI calling convention for the exported functions, and
includes the minizip functionality.
If you want rebuild these file, for your information :
Building instructions for the DLL versions of Zlib 1.2.3
========================================================
This directory contains projects that build zlib and minizip using
Microsoft Visual C++ 7.0/7.1, and Visual C++ 2005.
You don't need to build these projects yourself. You can download the
binaries from:
http://www.winimage.com/zLibDll
More information can be found at this site.
Build instructions for Visual Studio 7.x (32 bits)
--------------------------------------------------
- Uncompress current zlib, including all contrib/* files
- Download the crtdll library from
http://www.winimage.com/zLibDll/crtdll.zip
Unzip crtdll.zip to extract crtdll.lib on contrib\vstudio\vc7.
- Open contrib\vstudio\vc7\zlibvc.sln with Microsoft Visual C++ 7.x
(Visual Studio .Net 2002 or 2003).
Build instructions for Visual Studio 2005 (32 bits or 64 bits)
--------------------------------------------------------------
- Uncompress current zlib, including all contrib/* files
- For 32 bits only: download the crtdll library from
http://www.winimage.com/zLibDll/crtdll.zip
Unzip crtdll.zip to extract crtdll.lib on contrib\vstudio\vc8.
- Open contrib\vstudio\vc8\zlibvc.sln with Microsoft Visual C++ 8.0
Build instructions for Visual Studio 2005 64 bits, PSDK compiler
----------------------------------------------------------------
at the time of writing this text file, Visual Studio 2005 (and
Microsoft Visual C++ 8.0) is on the beta 2 stage.
Using you can get the free 64 bits compiler from Platform SDK,
which is NOT a beta, and compile using the Visual studio 2005 IDE
see http://www.winimage.com/misc/sdk64onvs2005/ for instruction
- Uncompress current zlib, including all contrib/* files
- start Visual Studio 2005 from a platform SDK command prompt, using
the /useenv switch
- Open contrib\vstudio\vc8\zlibvc.sln with Microsoft Visual C++ 8.0
Important
---------
- To use zlibwapi.dll in your application, you must define the
macro ZLIB_WINAPI when compiling your application's source files.
Additional notes
----------------
- This DLL, named zlibwapi.dll, is compatible to the old zlib.dll built
by Gilles Vollant from the zlib 1.1.x sources, and distributed at
http://www.winimage.com/zLibDll
It uses the WINAPI calling convention for the exported functions, and
includes the minizip functionality. If your application needs that
particular build of zlib.dll, you can rename zlibwapi.dll to zlib.dll.
- The new DLL was renamed because there exist several incompatible
versions of zlib.dll on the Internet.
- There is also an official DLL build of zlib, named zlib1.dll. This one
is exporting the functions using the CDECL convention. See the file
win32\DLL_FAQ.txt found in this zlib distribution.
- There used to be a ZLIB_DLL macro in zlib 1.1.x, but now this symbol
has a slightly different effect. To avoid compatibility problems, do
not define it here.
Gilles Vollant
[email protected]
Tensorrt推理转换模型时所需zlib.dll
需积分: 0 97 浏览量
更新于2025-02-12
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在深度学习和计算机视觉领域,模型推理速度是衡量模型实际应用性能的重要指标之一。TensorRT是由NVIDIA推出的一个深度学习推理加速器,它能够优化并加速深度学习模型在GPU上的部署和运行。在使用TensorRT进行模型推理转换时,系统可能需要特定的动态链接库(DLL文件)来支持其运行。DLL文件是Windows操作系统中一种实现共享函数库的方法,它可以被多个程序同时使用,提高了程序的模块化程度和内存的使用效率。
在本例中,提到的“zlib.dll”是一个压缩库文件,它为TensorRT模型的加载和推理过程提供了必要的数据压缩和解压缩功能。在TensorRT中使用zlib.dll,可以实现模型文件的压缩存储,这不仅减少了存储空间的需求,还能在一定程度上加快模型加载的速度,进而提升整体的推理效率。
压缩子文件的文件名称列表显示了包含“readme.txt”、“static_x64”和“dll_x64”的文件夹结构。其中,“readme.txt”很可能包含着对整个压缩包内容的说明和使用指南,提供了必要的安装和配置信息,帮助用户了解如何正确地使用这些文件。而“static_x64”和“dll_x64”则分别可能包含着与TensorRT相关的静态库文件和动态链接库文件。在64位Windows系统上,“x64”文件夹表明了DLL文件是为64位系统所准备的,确保了与系统的兼容性。
在实际部署TensorRT模型时,用户需要确保所有的依赖项都得到正确安装,包括显卡驱动、CUDA、cuDNN以及TensorRT本身。同时,用户还需要确保系统的环境变量设置正确,以便系统能够找到并正确加载“zlib.dll”和其他必要的库文件。在某些情况下,如果zlib.dll文件不存在或者版本不兼容,TensorRT在启动或者加载模型时可能会报错,提示找不到该DLL文件或者文件版本错误等信息。此时,用户需要从NVIDIA官方或其他可信的源下载正确的zlib.dll文件,并将其放置在系统能够识别的路径下,如Windows的System32目录或指定的程序目录。
“Tensorrt推理转换模型时所需zlib.dll”这一知识点,涉及到了深度学习模型在GPU上的高效推理,以及在使用TensorRT时如何处理依赖的动态链接库文件。正确地管理和部署这些文件,对于在生产环境中实现快速且稳定的模型推理至关重要。

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