Pin tensorflow-hub<0.14.0 (#1446)

* Pin pynwb 2.3.3

* Remove pynwb pin, add comments

.conda/bld.bat

@@ -7,7 +7,7 @@ set PIP_IGNORE_INSTALLED=False
 
 @REM Install the pip dependencies. Note: Using urls to wheels might be better: 
 @REM https://docs.conda.io/projects/conda-build/en/stable/user-guide/wheel-files.html)
-pip install -r .\requirements.txt
+pip install --no-cache-dir -r .\requirements.txt
 
 @REM Install sleap itself. This does not install the requirements, but will list which 
 @REM requirements are missing (see "install_requires") when user attempts to install.

.conda/build.sh

@@ -7,7 +7,7 @@ export PIP_IGNORE_INSTALLED=False
 
 # Install the pip dependencies. Note: Using urls to wheels might be better: 
 # https://docs.conda.io/projects/conda-build/en/stable/user-guide/wheel-files.html)
-pip install -r ./requirements.txt
+pip install --no-cache-dir -r ./requirements.txt
 
 
 # Install sleap itself. This does not install the requirements, but will list which 

.conda/meta.yaml

@@ -16,7 +16,7 @@ source:
   path: ../
 
 build:
-  number: 9
+  number: 12
 
 requirements:
   host:
@@ -83,7 +83,7 @@ requirements:
     - conda-forge::scikit-video
     - conda-forge::seaborn
     - sleap::tensorflow >=2.6.3,<2.11  # No windows GPU support for >2.10, sleap channel has 2.6.3
-    - conda-forge::tensorflow-hub
+    - conda-forge::tensorflow-hub <0.14.0  # Causes pynwb conflicts on linux GH-1446
 
 test:
   imports:

.conda_mac/build.sh

@@ -7,6 +7,6 @@ export PIP_NO_INDEX=False
 export PIP_NO_DEPENDENCIES=False
 export PIP_IGNORE_INSTALLED=False
 
-pip install -r requirements.txt
+pip install --no-cache-dir -r requirements.txt
 
 python setup.py install --single-version-externally-managed --record=record.txt

environment.yml

@@ -36,7 +36,7 @@ dependencies:
     - conda-forge::scikit-video
     - conda-forge::seaborn
     - sleap::tensorflow >=2.6.3,<2.11  # No windows GPU support for >2.10
-    - conda-forge::tensorflow-hub
+    - conda-forge::tensorflow-hub  # Pinned in meta.yml, but no problems here... yet
 
     # Packages required by tensorflow to find/use GPUs
     - conda-forge::cudatoolkit ==11.3.1