  imageio>=2.9.0
  imageio-ffmpeg>=0.4.5
  ffmpy==0.2.3
  # Exclude badly numbered Python2 version of nvidia-ml-py
  # nvidia-ml-py>=11.450,<300
  # v11.515.0 changes dtype of output items. Pinned for now
  # TODO update code to use latest version
  nvidia-ml-py>=11.450,<11.515
  pywin32>=228 ; sys_platform == "win32"
  pynvx==1.0.0 ; sys_platform == "darwin"
 
</s> remove imageio-ffmpeg>=0.4.5
 </s> add imageio-ffmpeg>=0.4.7 </s> remove numpy>=1.18.0,<1.20.0
opencv-python>=4.5.3.0
pillow>=8.3.1
scikit-learn>=0.24.2
fastcluster>=1.1.26
 </s> add numpy>=1.18.0
opencv-python>=4.5.5.0
pillow>=9.0.1
scikit-learn>=1.0.2
fastcluster>=1.2.4 </s> remove             tf_ver = "tensorflow-gpu{}".format(tf_ver)
 </s> add             tf_ver = f"tensorflow-gpu{tf_ver}" </s> remove         chk = Popen("nvcc -V", shell=True, stdout=PIPE, stderr=PIPE)
        stdout, stderr = chk.communicate()
 </s> add         with Popen("nvcc -V", shell=True, stdout=PIPE, stderr=PIPE) as chk:
            stdout, stderr = chk.communicate() </s> remove                 pkg = "{}{}".format(pkg, ",".join("".join(spec) for spec in version))
 </s> add                 pkg = f"{pkg}{','.join(''.join(spec) for spec in version)}"
nvidia-ml-py>=11.510,<300
  imageio>=2.9.0
  imageio-ffmpeg>=0.4.5
  ffmpy==0.2.3
  # Exclude badly numbered Python2 version of nvidia-ml-py
nvidia-ml-py>=11.510,<300
nvidia-ml-py>=11.510,<300
nvidia-ml-py>=11.510,<300
nvidia-ml-py>=11.510,<300
  pywin32>=228 ; sys_platform == "win32"
  pynvx==1.0.0 ; sys_platform == "darwin"
keep keep keep keep replace replace replace replace keep keep
 Update code to support Tensorflow versions up to 2.8 (#1213)

* Update maximum tf version in setup + requirements

* - bump max version of tf version in launcher
- standardise tf version check

* update keras get_custom_objects  for tf>2.6

* bugfix: force black text in GUI file dialogs (linux)

* dssim loss - Move to stock tf.ssim function

* Update optimizer imports for compatibility

* fix logging for tf2.8

* Fix GUI graphing for TF2.8

* update tests

* bump requirements.txt versions

* Remove limit on nvidia-ml-py

* Graphing bugfixes
  - Prevent live graph from displaying if data not yet available

* bugfix: Live graph. Collect loss labels correctly

* fix: live graph - swallow inconsistent loss errors

* Bugfix: Prevent live graph from clearing during training

* Fix graphing for AMD 
_requirements_base.txt