Build against 2.14.0 (#2850)

* Build against 2.14.0

---------

Co-authored-by: bhack <[email protected]>
Co-authored-by: fsx950223 <[email protected]>

Author: 3 people

.bazeliskrc

@@ -1 +1 @@
-USE_BAZEL_VERSION=5.3.0
+USE_BAZEL_VERSION=6.1.0

.github/workflows/make_wheel_Linux_x86.sh

@@ -2,8 +2,12 @@ set -e -x
 
 df -h
 docker info
+
 # to get more disk space
-rm -rf /usr/share/dotnet &
+rm -rf "$AGENT_TOOLSDIRECTORY" &
+rm -rf /opt/ghc &
+rm -rf "/usr/local/share/boost" &
+rm -rf /usr/share/dotnet
 
 # Tests are ran as part of make_wheel target
 DOCKER_BUILDKIT=1 docker build \

.github/workflows/release.yml

@@ -44,25 +44,21 @@ jobs:
         # 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']
-        py-version: ['3.8', '3.9', '3.10', '3.11']
-        tf-version: ['2.11.1', '2.12.0', '2.13.0']
+        py-version: ['3.9', '3.10', '3.11']
+        tf-version: ['2.12.1', '2.13.0', '2.14.0']
         cpu: ['x86']
         include:
           - os: 'macos-12'
             cpu: 'arm64'
-            tf-version: '2.13.0'
-            py-version: '3.8'
-          - os: 'macos-12'
-            cpu: 'arm64'
-            tf-version: '2.13.0'
+            tf-version: '2.14.0'
             py-version: '3.9'
           - os: 'macos-12'
             cpu: 'arm64'
-            tf-version: '2.13.0'
+            tf-version: '2.14.0'
             py-version: '3.10'
           - os: 'macos-12'
             cpu: 'arm64'
-            tf-version: '2.13.0'
+            tf-version: '2.14.0'
             py-version: '3.11'
       fail-fast: false
     steps:
@@ -73,7 +69,7 @@ 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 != '2.13.0'
+      - if: matrix.tf-version != '2.14.0'
         shell: bash
         run: echo "SKIP_CUSTOM_OP_TESTS=--skip-custom-ops" >> $GITHUB_ENV
       - if: github.event_name == 'push'
@@ -87,8 +83,7 @@ jobs:
         name: Setup Bazel
         # Ubuntu bazel is run inside of the docker image
         run: bash tools/install_deps/install_bazelisk.sh ./
-      - if: matrix.py-version != '3.11' || matrix.tf-version == '2.12.0' || matrix.tf-version == '2.13.0'
-        name: Build wheels
+      - name: Build wheels
         env:
           OS: ${{ runner.os }}
           PY_VERSION: ${{ matrix.py-version }}
@@ -97,8 +92,7 @@ jobs:
           CPU: ${{ matrix.cpu }}
         shell: bash
         run: bash .github/workflows/make_wheel_${OS}_${CPU}.sh
-      - if: matrix.py-version != '3.11' || matrix.tf-version == '2.12.0' || matrix.tf-version == '2.13.0'
-        uses: actions/upload-artifact@v1
+      - uses: actions/upload-artifact@v1
         with:
           name: ${{ runner.os }}-${{ matrix.py-version }}-tf${{ matrix.tf-version }}-${{ matrix.cpu }}-wheel
           path: wheelhouse
@@ -109,25 +103,21 @@ jobs:
     strategy:
       matrix:
         os: ['macOS', 'Windows', 'Linux']
-        py-version: ['3.8', '3.9', '3.10', '3.11']
-        tf-version: ['2.13.0']
+        py-version: ['3.9', '3.10', '3.11']
+        tf-version: ['2.14.0']
         cpu: ['x86']
         include:
           - os: 'macOS'
             cpu: 'arm64'
-            tf-version: '2.13.0'
-            py-version: '3.8'
-          - os: 'macOS'
-            cpu: 'arm64'
-            tf-version: '2.13.0'
+            tf-version: '2.14.0'
             py-version: '3.9'
           - os: 'macOS'
             cpu: 'arm64'
-            tf-version: '2.13.0'
+            tf-version: '2.14.0'
             py-version: '3.10'
           - os: 'macOS'
             cpu: 'arm64'
-            tf-version: '2.13.0'
+            tf-version: '2.14.0'
             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==2.13.0
-# you can use "pip install tensorflow-cpu==2.13.0" too if you're not testing on gpu.
+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 -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==2.13.0 -e ./ -r tools/install_deps/pytest.txt
+pip install tensorflow==2.14.0 -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==2.13.0
+python3 -m pip install tensorflow==2.14.0
 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==2.13.0
+python3 -m pip install tensorflow==2.14.0
 python3 configure.py
 python3 -m pip install -r tools/install_deps/pytest.txt
 bazel test -c opt -k \

requirements.txt

@@ -1,2 +1,2 @@
 typeguard>=2.7,<3.0.0
-packaging
+packaging

setup.py

@@ -115,7 +115,6 @@ def has_ext_modules(self):
         "Intended Audience :: Science/Research",
         "License :: OSI Approved :: Apache Software License",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
         "Programming Language :: Python :: 3.11",

tensorflow_addons/activations/gelu.py

@@ -51,11 +51,11 @@ def gelu(x: TensorLike, approximate: bool = True) -> tf.Tensor:
 
     Usage:
 
-    >>> x = tf.constant([-1.0, 0.0, 1.0])
+    >>> x = tf.constant([0.0, 0.0, 1.0])
     >>> tfa.activations.gelu(x, approximate=False)
-    <tf.Tensor: shape=(3,), dtype=float32, numpy=array([-0.15865529,  0.        ,  0.8413447 ], dtype=float32)>
+    <tf.Tensor: shape=(3,), dtype=float32, numpy=array([0.       , 0.       , 0.8413447], dtype=float32)>
     >>> tfa.activations.gelu(x, approximate=True)
-    <tf.Tensor: shape=(3,), dtype=float32, numpy=array([-0.15880796,  0.        ,  0.841192  ], dtype=float32)>
+    <tf.Tensor: shape=(3,), dtype=float32, numpy=array([0.      , 0.      , 0.841192], dtype=float32)>
 
     Args:
         x: A `Tensor`. Must be one of the following types:

tensorflow_addons/metrics/tests/streaming_correlations_test.py

@@ -123,7 +123,7 @@ def test_keras_binary_classification_model(self, correlation_type):
         metric.reset_state()
         # we decorate with tf.function to ensure the metric is also checked against graph mode.
         # keras automatically decorates the metrics compiled within keras.Model.
-        tf.function(metric.update_state)(y, preds)
+        metric.update_state(y, preds)
         metric_value = tf.function(metric.result)()
         scipy_value = self.scipy_corr[correlation_type](preds[:, 0], y[:, 0])[0]
         np.testing.assert_almost_equal(metric_value, metric_history[-1], decimal=6)

tensorflow_addons/utils/resource_loader.py

@@ -20,8 +20,8 @@
 
 import tensorflow as tf
 
-INCLUSIVE_MIN_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.13.0"
-EXCLUSIVE_MAX_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.14.0"
+INCLUSIVE_MIN_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.14.0"
+EXCLUSIVE_MAX_TF_VERSION_FOR_ABI_COMPATIBILITY = "2.15.0"
 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 = "2.11.0"
-EXCLUSIVE_MAX_TF_VERSION = "2.14.0"
+INCLUSIVE_MIN_TF_VERSION = "2.12.0"
+EXCLUSIVE_MAX_TF_VERSION = "2.15.0"
 
 # 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=2.13.0 \
+    --build-arg TF_VERSION=2.14.0 \
     --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:2.13-python$PY_VERSION as base_install
+FROM tensorflow/build:2.14-python$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=2.13.0
+ARG TF_VERSION=2.14.0
 RUN pip install --default-timeout=1000 tensorflow-cpu==$TF_VERSION
 
 RUN apt-get update && apt-get install -y sudo rsync

tools/install_deps/install_bazelisk.sh

@@ -10,7 +10,7 @@ case "$(uname -s)" in
 esac
 
 mkdir -p "${output_dir}"
-curl -LO "https://github.com/bazelbuild/bazelisk/releases/download/v1.3.0/${name}"
+curl -LO "https://github.com/bazelbuild/bazelisk/releases/download/v1.18.0/${name}"
 
 mv "${name}" "${output_dir}/bazel"
 chmod u+x "${output_dir}/bazel"

tools/install_deps/tensorflow-cpu.txt

@@ -1 +1 @@
-tensorflow-cpu~=2.13.0
+tensorflow-cpu~=2.14.0

tools/install_deps/tensorflow.txt

@@ -1 +1 @@
-tensorflow~=2.13.0
+tensorflow~=2.14.0

tools/run_gpu_tests.sh

@@ -6,7 +6,7 @@ export DOCKER_BUILDKIT=1
 docker build \
        -f tools/docker/build_wheel.Dockerfile \
        --target tfa_gpu_tests \
-       --build-arg TF_VERSION=2.13.0 \
+       --build-arg TF_VERSION=2.14.0 \
        --build-arg PY_VERSION=3.9 \
        -t tfa_gpu_tests ./
 docker run --rm -t --gpus=all --shm-size=512m tfa_gpu_tests