upgrade tpu tf to 2.18.0

tpu/Dockerfile

@@ -6,11 +6,8 @@ FROM $BASE_IMAGE
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG PYTHON_WHEEL_VERSION
 ARG PYTHON_VERSION_PATH
-ARG TF_LINUX_WHEEL_VERSION
 ARG TORCH_LINUX_WHEEL_VERSION
 ARG TORCH_VERSION
-ARG TENSORFLOW_VERSION
-ARG TF_LIBTPU_VERSION
 ARG TORCHVISION_VERSION
 ARG TORCHAUDIO_VERSION
 
@@ -68,17 +65,11 @@ RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requ
     /tmp/clean-layer.sh
 ENV PATH="${HOME}/.local/bin:${PATH}"
 
-# Tensorflow libtpu:
-RUN curl --output /usr/local/lib/python3.10/site-packages/libtpu/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
-
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
 RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
 
-# Monkey-patch the default TPU to the local (TPU VM).
-RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
-
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local
@@ -92,7 +83,6 @@ LABEL build-date=$BUILD_DATE
 ENV GIT_COMMIT=${GIT_COMMIT}
 ENV BUILD_DATE=${BUILD_DATE}
 
-LABEL tensorflow-version=$TENSORFLOW_VERSION
 LABEL kaggle-lang=python
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.

tpu/config.txt

@@ -1,10 +1,6 @@
 BASE_IMAGE=python:3.10
 PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
-# gsutil ls gs://cloud-tpu-tpuvm-artifacts/tensorflow
-# https://cloud.google.com/tpu/docs/supported-tpu-configurations#libtpu_versions
-TENSORFLOW_VERSION=2.16.1
-TF_LIBTPU_VERSION=1.10.1
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly

tpu/requirements.txt

@@ -1,7 +1,8 @@
 # TPU Utils
 tpu-info
 # Tensorflow packages
-https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl
+tensorflow-tpu>=2.18.0
+-f https://storage.googleapis.com/libtpu-tf-releases/index.html
 tensorflow_hub
 tensorflow-io
 tensorflow-probability
@@ -36,7 +37,6 @@ albumentations
 diffusers
 einops
 fastparquet
-librosa
 matplotlib
 opencv-python
 opencv-python-headless