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ci/official/containers/linux_arm64/devel.usertools/test.requirements.txt
# Test dependencies for pip tests grpcio ~= 1.42.0 portpicker ~= 1.5.2 scipy ~= 1.7.3 jax ~= 0.2.26
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ci/official/requirements_updater/requirements.in
wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3 requests == 2.31.0
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SECURITY.md
reachable and exploitable through production-grade, benign models. ### Compilation Compiling models via the recommended entry points described in [XLA](https://www.tensorflow.org/xla) and [JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html) documentation should be safe, while some of the testing and debugging tools that come with the compiler are not designed to be used with untrusted data and
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ci/official/envs/versions_upload
TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse" TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1 TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/versions/latest/" TFCI_ARTIFACT_STAGING_GCS_ENABLE=1 TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/versions/${_LOUHI_EXECUTION_ID:-$(git rev-parse HEAD)}/"
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# package, ever. cat > $BATS_TEST_TMPDIR/ignore_these_deps <<EOF benchmark _test$ _test.py$ _test_cpu$ _test_cpu.py$ _test_gpu$ _test_gpu.py$ _test_lib$ //tensorflow/cc/saved_model:saved_model_test_files //tensorflow/cc/saved_model:saved_model_half_plus_two //tensorflow:no_tensorflow_py_deps //tensorflow/tools/pip_package:win_pip_package_marker //tensorflow/core:image_testdata
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RELEASE.md
[height, width, depth])`, and `tf.random_crop` works for any rank (not just 3-D images). The C++ `RandomCrop` op has been replaced with pure Python. * Renamed `tf.test.GetTempDir` and `tf.test.IsBuiltWithCuda` to `tf.test.get_temp_dir` and `tf.test.is_built_with_cuda` for PEP-8 compatibility. * `parse_example`'s interface has changed, the old interface is accessible in
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ci/official/wheel_test/BUILD
py_test( name = "test_import_api_packages", srcs = ["test_import_api_packages.py"], deps = ["@pypi_tensorflow//:pkg"],
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ci/official/envs/linux_arm64
TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64 TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M
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README.md
**Libtensorflow Windows GPU** | Status Temporarily Unavailable | [Nightly Binary](https://storage.googleapis.com/libtensorflow-nightly/prod/tensorflow/release/windows/latest/gpu/windows_gpu_libtensorflow_binaries.tar.gz)...
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