Build against TF 2.15 (#2857)

* Built against TF2.15

Author: seanpmorgan

.github/workflows/release.yml

@@ -43,22 +43,24 @@ jobs:
       matrix:
         # To switch on windows-2022/latest, please verify the bazel version:
         # https://github.com/bazelbuild/bazel/issues/14232#issuecomment-1011247429
-        os: ['macos-12', 'windows-2019', 'ubuntu-20.04']
+        os: ['macos-12', 'ubuntu-20.04']
+        # Removing windows builds due to broken upstream package https://github.com/tensorflow/tensorflow/issues/61830
+        # os: ['macos-12', 'windows-2019', 'ubuntu-20.04']
         py-version: ['3.9', '3.10', '3.11']
-        tf-version: ['2.12.1', '2.13.0', '2.14.0']
+        tf-version: ['2.13.1', '2.14.0', '2.15.0']
         cpu: ['x86']
         include:
           - os: 'macos-12'
             cpu: 'arm64'
-            tf-version: '2.14.0'
+            tf-version: '2.15.0'
             py-version: '3.9'
           - os: 'macos-12'
             cpu: 'arm64'
-            tf-version: '2.14.0'
+            tf-version: '2.15.0'
             py-version: '3.10'
           - os: 'macos-12'
             cpu: 'arm64'
-            tf-version: '2.14.0'
+            tf-version: '2.15.0'
             py-version: '3.11'
       fail-fast: false
     steps:
@@ -69,7 +71,7 @@ jobs:
           script: |
             const commit_details = await github.git.getCommit({owner: context.repo.owner, repo: context.repo.repo, commit_sha: context.sha});
             return commit_details.data.author.date
-      - if: matrix.tf-version != '2.14.0'
+      - if: matrix.tf-version != '2.15.0'
         shell: bash
         run: echo "SKIP_CUSTOM_OP_TESTS=--skip-custom-ops" >> $GITHUB_ENV
       - if: github.event_name == 'push'
@@ -102,22 +104,24 @@ jobs:
     runs-on: ubuntu-20.04
     strategy:
       matrix:
-        os: ['macOS', 'Windows', 'Linux']
+        os: ['macOS', 'Linux']
+        # Removing windows builds due to broken upstream package https://github.com/tensorflow/tensorflow/issues/61830
+        # os: ['macOS', 'Windows', 'Linux']
         py-version: ['3.9', '3.10', '3.11']
-        tf-version: ['2.14.0']
+        tf-version: ['2.15.0']
         cpu: ['x86']
         include:
           - os: 'macOS'
             cpu: 'arm64'
-            tf-version: '2.14.0'
+            tf-version: '2.15.0'
             py-version: '3.9'
           - os: 'macOS'
             cpu: 'arm64'
-            tf-version: '2.14.0'
+            tf-version: '2.15.0'
             py-version: '3.10'
           - os: 'macOS'
             cpu: 'arm64'
-            tf-version: '2.14.0'
+            tf-version: '2.15.0'
             py-version: '3.11'
       fail-fast: false
     if: (github.event_name == 'push' && github.ref == 'refs/heads/master') || github.event_name == 'release'

CONTRIBUTING.md

@@ -173,8 +173,8 @@ conda activate my_dev_environement
 Just run from the root:
 
 ```bash
-pip install tensorflow==2.14.0
-# you can use "pip install tensorflow-cpu==2.14.0" too if you're not testing on gpu.
+pip install tensorflow==2.15.0
+# you can use "pip install tensorflow-cpu==2.15.0" too if you're not testing on gpu.
 pip install -e ./
 ```
 
@@ -262,7 +262,7 @@ If you need a custom C++/Cuda op for your test, compile your ops with
 
 ```bash
 python configure.py
-pip install tensorflow==2.14.0 -e ./ -r tools/install_deps/pytest.txt
+pip install tensorflow==2.15.0 -e ./ -r tools/install_deps/pytest.txt
 bash tools/install_so_files.sh  # Linux/macos/WSL2
 sh tools/install_so_files.sh    # PowerShell
 ```
@@ -290,7 +290,7 @@ docker run --gpus all --rm -it -v ${PWD}:/addons -w /addons gcr.io/tensorflow-te
 
 Configure:
 ```bash
-python3 -m pip install tensorflow==2.14.0
+python3 -m pip install tensorflow==2.15.0
 python3 ./configure.py  # Links project with TensorFlow dependency
 ```
 
@@ -329,7 +329,7 @@ quickly, as Bazel has great support for caching and distributed testing.
 To test with Bazel:
 
 ```bash
-python3 -m pip install tensorflow==2.14.0
+python3 -m pip install tensorflow==2.15.0
 python3 configure.py
 python3 -m pip install -r tools/install_deps/pytest.txt
 bazel test -c opt -k \

README.md

@@ -31,7 +31,7 @@ For more information see: [https://github.com/tensorflow/addons/issues/2807](htt
 
 | Build      | Status |
 | ---             | ---    |
-| **Ubuntu/macOS/Windows**   | [![Status](https://github.com/tensorflow/addons/actions/workflows/release.yml/badge.svg)](https://github.com/tensorflow/addons/actions?query=workflow%3Aaddons-release) |
+| **Ubuntu/macOS**   | [![Status](https://github.com/tensorflow/addons/actions/workflows/release.yml/badge.svg)](https://github.com/tensorflow/addons/actions?query=workflow%3Aaddons-release) |
 | **Ubuntu GPU custom ops**   | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/addons/ubuntu-gpu-py3.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/addons/ubuntu-gpu-py3.html) |
 
 **TensorFlow Addons** is a repository of contributions that conform to
@@ -64,7 +64,8 @@ owners for all submodules.
 
 ## Installation
 #### Stable Builds
-TensorFlow Addons is available on PyPI for Linux, macOS, and Windows. To install the latest version, 
+TensorFlow Addons is available on PyPI for Linux & macOS (Windows support was dropped 
+due to [inconsistent TF2.15 whl packaging](https://github.com/tensorflow/tensorflow/issues/61830)). To install the latest version, 
 run the following:
 ```
 pip install tensorflow-addons
@@ -192,7 +193,7 @@ cd addons
 export TF_NEED_CUDA="1"
 
 # Set these if the below defaults are different on your system
-export TF_CUDA_VERSION="11"
+export TF_CUDA_VERSION="12"
 export TF_CUDNN_VERSION="8"
 export CUDA_TOOLKIT_PATH="/usr/local/cuda"
 export CUDNN_INSTALL_PATH="/usr/lib/x86_64-linux-gnu"

WORKSPACE

@@ -11,10 +11,10 @@ http_archive(
     patches = [
         "//build_deps/tf_dependency:tf.patch",
     ],
-    sha256 = "ce357fd0728f0d1b0831d1653f475591662ec5bca736a94ff789e6b1944df19f",
-    strip_prefix = "tensorflow-2.14.0",
+    sha256 = "9cec5acb0ecf2d47b16891f8bc5bc6fbfdffe1700bdadc0d9ebe27ea34f0c220",
+    strip_prefix = "tensorflow-2.15.0",
     urls = [
-        "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.14.0.tar.gz",
+        "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.15.0.tar.gz",
     ],
 )
 

configure.py

@@ -185,7 +185,7 @@ def configure_cuda():
         "CUDNN_INSTALL_PATH",
         os.getenv("CUDNN_INSTALL_PATH", "/usr/lib/x86_64-linux-gnu"),
     )
-    write_action_env("TF_CUDA_VERSION", os.getenv("TF_CUDA_VERSION", "11.8"))
+    write_action_env("TF_CUDA_VERSION", os.getenv("TF_CUDA_VERSION", "12.2"))
     write_action_env("TF_CUDNN_VERSION", os.getenv("TF_CUDNN_VERSION", "8"))
 
     write("test --config=cuda")

tensorflow_addons/utils/resource_loader.py

@@ -20,8 +20,8 @@
 
 import tensorflow as tf
 
-INCLUSIVE_MIN_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.14.0"
-EXCLUSIVE_MAX_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.15.0"
+INCLUSIVE_MIN_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.15.0"
+EXCLUSIVE_MAX_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.16.0"
 abi_warning_already_raised = False
 SKIP_CUSTOM_OPS = False
 

tensorflow_addons/version.py

@@ -15,8 +15,8 @@
 """Define TensorFlow Addons version information."""
 
 # Required TensorFlow version [min, max)
-INCLUSIVE_MIN_TF_VERSION = "2.12.0"
-EXCLUSIVE_MAX_TF_VERSION = "2.15.0"
+INCLUSIVE_MIN_TF_VERSION = "2.13.0"
+EXCLUSIVE_MAX_TF_VERSION = "2.16.0"
 
 # We follow Semantic Versioning (https://semver.org/)
 _MAJOR_VERSION = "0"

tools/build_dev_container.sh

@@ -4,7 +4,7 @@ set -x -e
 
 docker build \
     -f tools/docker/dev_container.Dockerfile \
-    --build-arg TF_VERSION=2.14.0 \
+    --build-arg TF_VERSION=2.15.0 \
     --build-arg TF_PACKAGE=tensorflow \
     --build-arg PY_VERSION=$PY_VERSION \
     --no-cache \

tools/docker/build_wheel.Dockerfile

@@ -1,6 +1,6 @@
 #syntax=docker/dockerfile:1.1.5-experimental
 ARG PY_VERSION
-FROM tensorflow/build:2.14-python$PY_VERSION as base_install
+FROM tensorflow/build:2.15-python$PY_VERSION as base_install
 
 ENV TF_NEED_CUDA="1"
 ARG PY_VERSION

tools/docker/cpu_tests.Dockerfile

@@ -1,7 +1,7 @@
 #syntax=docker/dockerfile:1.1.5-experimental
 FROM python:3.9 as build_wheel
 
-ARG TF_VERSION=2.14.0
+ARG TF_VERSION=2.15.0
 RUN pip install --default-timeout=1000 tensorflow-cpu==$TF_VERSION
 
 RUN apt-get update && apt-get install -y sudo rsync