NVIDIA · JanuszL · Dec 4, 2025
diff --git a/dali/python/CMakeLists.txt b/dali/python/CMakeLists.txt
@@ -41,8 +41,10 @@ endif (PREBUILD_DALI_LIBS)
 
 if (DALI_BUILD_FLAVOR)
   set(DALI_FLAVOR "${DALI_BUILD_FLAVOR} ")
-  set(DALI_FLAVOR_MINUS "-${DALI_BUILD_FLAVOR}")
-  set(DALI_VERSION "${DALI_VERSION}.${TIMESTAMP}")
+  if(NOT "${DALI_VERSION}" MATCHES "dev")
+    message(FATAL_ERROR "Development build must have 'dev' in DALI_VERSION (current value: ${DALI_VERSION})")
+  endif()
+  set(DALI_VERSION "${DALI_VERSION}${TIMESTAMP}")
 endif()
 
 # Add the COPYRIGHT, LICENSE, and Acknowledgements

diff --git a/dali/python/setup.py.in b/dali/python/setup.py.in
@@ -14,7 +14,7 @@
 
 from setuptools import setup, find_namespace_packages
 
-setup(name='nvidia-dali@DALI_FLAVOR_MINUS@-cuda@CUDA_VERSION_SHORT_DIGIT_ONLY@',
+setup(name='nvidia-dali-cuda@CUDA_VERSION_SHORT_DIGIT_ONLY@',
       description='NVIDIA DALI @DALI_FLAVOR@ for CUDA @CUDA_VERSION_SHORT@. Git SHA: @GIT_SHA@',
           long_description='''NVIDIA DALI
 ===========

diff --git a/dali_tf_plugin/CMakeLists.txt b/dali_tf_plugin/CMakeLists.txt
@@ -28,8 +28,10 @@ parse_cuda_version(${CUDA_VERSION} CUDA_VERSION_MAJOR CUDA_VERSION_MINOR CUDA_VE
 get_dali_version(${DALI_ROOT}/VERSION DALI_VERSION)
 if (DALI_BUILD_FLAVOR)
   set(DALI_FLAVOR "${DALI_BUILD_FLAVOR} ")
-  set(DALI_FLAVOR_MINUS "-${DALI_BUILD_FLAVOR}")
-  set(DALI_VERSION "${DALI_VERSION}.${TIMESTAMP}")
+  if(NOT "${DALI_VERSION}" MATCHES "dev")
+    message(FATAL_ERROR "Development build must have 'dev' in DALI_VERSION (current value: ${DALI_VERSION})")
+  endif()
+  set(DALI_VERSION "${DALI_VERSION}${TIMESTAMP}")
 endif()
 
 configure_file("${PROJECT_SOURCE_DIR}/setup.py.in" "${PROJECT_BINARY_DIR}/setup.py")

diff --git a/dali_tf_plugin/setup.py.in b/dali_tf_plugin/setup.py.in
@@ -34,7 +34,7 @@ class CustomDistribution(Distribution):
         # to be built for different platforms
         self.ext_modules = [Extension('nvidia.dali_tf_plugin', [])]
 
-setup(name='nvidia-dali-tf-plugin@DALI_FLAVOR_MINUS@-cuda@CUDA_VERSION_SHORT_DIGIT_ONLY@',
+setup(name='nvidia-dali-tf-plugin-cuda@CUDA_VERSION_SHORT_DIGIT_ONLY@',
       description='NVIDIA DALI @DALI_FLAVOR@ TensorFlow plugin for CUDA @CUDA_VERSION_SHORT@. Git SHA: @GIT_SHA@',
       long_description='''TensorFlow plugin for NVIDIA DALI
 =================================
@@ -88,7 +88,7 @@ For more details please check the
           'Programming Language :: Python :: 3.13',
           ],
       install_requires = [
-          'nvidia-dali@DALI_FLAVOR_MINUS@-cuda@CUDA_VERSION_SHORT_DIGIT_ONLY@==@DALI_VERSION@',
+          'nvidia-dali-cuda@CUDA_VERSION_SHORT_DIGIT_ONLY@==@DALI_VERSION@',
           'packaging',
           ],
 

diff --git a/docs/compilation.rst b/docs/compilation.rst
@@ -69,8 +69,10 @@ set the following environment variables:
   | The default is ``NO``.
 * | PYVER - Python version used to create the runner image with DALI installed inside mentioned above.
   | The default is ``3.10``.
-* DALI_BUILD_FLAVOR - adds a suffix to DALI package name and put a note about it in the whl package
-  description, i.e. `nightly` will result in the `nvidia-dali-nightly`
+* DALI_BUILD_FLAVOR - adds a ``.dev{TIMESTAMP}`` suffix to the DALI package version and puts a note
+  about the build flavor in the whl package description. The package name remains the same as stable
+  releases (e.g., ``nvidia-dali-cuda120``), with only the version number differentiated
+  (e.g., ``1.53.0.dev20251204``)
 * | CMAKE_BUILD_TYPE - build type, available options: Debug, DevDebug, Release, RelWithDebInfo.
   | The default is ``Release``.
 * | STRIP_BINARY - when used with CMAKE_BUILD_TYPE equal to Debug, DevDebug, or RelWithDebInfo it
@@ -367,7 +369,9 @@ To run with sanitizers enabled issue:
 
   STDC_VERSION used by the system. Usually 6.
 
--  ``DALI_BUILD_FLAVOR`` - Allow to specify custom name suffix (i.e. 'nightly') for nvidia-dali whl package
+-  ``DALI_BUILD_FLAVOR`` - Specifies the build flavor (e.g., 'nightly', 'weekly') which adds a
+   ``.dev{TIMESTAMP}`` suffix to the package version and includes the flavor name in the package
+   description. Unlike legacy builds, the package name is not modified (always ``nvidia-dali-cuda*``)
 -  *(Unofficial)* ``BUILD_JPEG_TURBO`` - build with ``libjpeg-turbo`` (default: ON)
 -  *(Unofficial)* ``BUILD_LIBTIFF`` - build with ``libtiff`` (default: ON)
 

diff --git a/docs/installation.rst b/docs/installation.rst
@@ -130,13 +130,45 @@ pip - Nightly and Weekly Releases
 
 .. note::
 
-  It is recommended to uninstall regular DALI and TensorFlow plugin before installing nightly or weekly
-  builds as they are installed in the same path
+  **New distribution method (starting from version 1.53):** Nightly and weekly builds now use the same
+  package names as stable releases (e.g., ``nvidia-dali-cuda120``, ``nvidia-dali-cuda130``) but are
+  differentiated by a ``.dev{TIMESTAMP}`` suffix in the version number. To install development builds,
+  you need to specify ``--pre`` flag to allow pre-release versions and use the appropriate index URL
+  for the nightly or weekly channel.
 
 Nightly Builds
 ^^^^^^^^^^^^^^
 
-To access most recent nightly builds please use flowing release channel:
+Nightly builds could be published every weekday (with timestamps from Monday to Friday),
+while weekly builds, which undergo more extensive testing, are released on weekends
+(with timestamps from Saturday and Sunday). To access the latest nightly or weekly builds, use
+the following release channel:
+
+* for CUDA 12.0:
+
+.. code-block:: bash
+
+  pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/nightly --upgrade --pre nvidia-dali-cuda120
+  pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/nightly --upgrade --pre nvidia-dali-tf-plugin-cuda120 --no-build-isolation
+
+* for CUDA 13.0:
+
+.. code-block:: bash
+
+  pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/nightly --upgrade --pre nvidia-dali-cuda130
+  pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/nightly --upgrade --pre nvidia-dali-tf-plugin-cuda130 --no-build-isolation
+
+Nightly and Weekly Builds - Legacy Distribution (pre-1.53)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. note::
+
+  **Legacy distribution method:** Prior to version 1.53, nightly and weekly builds used different package
+  names with flavor suffixes (e.g., ``nvidia-dali-nightly-cuda120``, ``nvidia-dali-weekly-cuda130``).
+  This method is deprecated but may still be available for older versions. If you have these legacy
+  packages installed, it is recommended to uninstall them before installing the new unified packages.
+
+Legacy Nightly Builds:
 
 * for CUDA 12.0:
 
@@ -152,12 +184,7 @@ To access most recent nightly builds please use flowing release channel:
   pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/nightly --upgrade nvidia-dali-nightly-cuda130
   pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/nightly --upgrade nvidia-dali-tf-plugin-nightly-cuda130 --no-build-isolation
 
-
-Weekly Builds
-^^^^^^^^^^^^^
-
-Also, there is a weekly release channel with more thorough testing. To access most recent weekly
-builds please use the following release channel (available only for CUDA 13):
+Legacy Weekly Builds (available only for CUDA 13):
 
 .. code-block:: bash
 

diff --git a/plugins/CMakeLists.txt b/plugins/CMakeLists.txt
@@ -33,8 +33,10 @@ get_dali_version(${DALI_ROOT}/VERSION DALI_VERSION)
 
 if(DALI_BUILD_FLAVOR)
   set(DALI_FLAVOR "${DALI_BUILD_FLAVOR} ")
-  set(DALI_FLAVOR_MINUS "-${DALI_BUILD_FLAVOR}")
-  set(DALI_VERSION "${DALI_VERSION}")
+  if(NOT "${DALI_VERSION}" MATCHES "dev")
+    message(FATAL_ERROR "Development build must have 'dev' in DALI_VERSION (current value: ${DALI_VERSION})")
+  endif()
+  set(DALI_VERSION "${DALI_VERSION}${TIMESTAMP}")
 endif()
 
 add_subdirectory(video)
diff --git a/plugins/setup.py.in b/plugins/setup.py.in
@@ -63,7 +63,7 @@ if __name__ == "__main__":
         os.environ["PYTHON_EXECUTABLE"] = sys.executable
 
     skbuild.setup(
-        name="nvidia-dali-@DALI_PLUGIN_NAME@@DALI_FLAVOR_MINUS@",
+        name="nvidia-dali-@DALI_PLUGIN_NAME@",
         description="@DALI_PLUGIN_DESCRIPTION@. For NVIDIA DALI, @DALI_FLAVOR@. Git SHA: @GIT_SHA@",
         url='https://github.com/NVIDIA/DALI',
         version='@DALI_VERSION@',