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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
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ci/official/utilities/code_check_full.bats
bazel cquery --keep_going 'deps(//tensorflow/tools/pip_package:wheel)' | sort -u > $BATS_TEST_TMPDIR/pip_deps # Find all Python py_test targets not tagged "no_pip" or "manual", excluding # any targets in ignored packages. Combine this list of targets into a bazel # query list (e.g. the list becomes "target+target2+target3")
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ci/official/requirements_updater/BUILD.bazel
load("@python//3.10:defs.bzl", compile_pip_requirements_3_10 = "compile_pip_requirements") load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") load("@python//3.12:defs.bzl", compile_pip_requirements_3_12 = "compile_pip_requirements") load("@python//3.9:defs.bzl", compile_pip_requirements_3_9 = "compile_pip_requirements")
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014 build --crosstool_top="@ml2014_aarch64_config_aarch64//crosstool:toolchain" test --crosstool_top="@ml2014_aarch64_config_aarch64//crosstool:toolchain"
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ci/official/envs/macos_x86_cross_compile
source ci/official/envs/macos_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1 TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk" TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE="/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk"
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tensorflow/BUILD
":with_tpu_support_define", ":with_tpu_support_flag", ], visibility = ["//visibility:public"], ) # Specifies via a config setting if this is a mobile build or not, makes # it easier to combine settings later. selects.config_setting_group( name = "mobile", match_any = [ ":android", ":chromiumos",
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ci/official/requirements_updater/README.md
3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ``` load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") ``` Add a new entry for the loaded `compile_pip_requirements`, e.g. ``` compile_pip_requirements_3_11( name = "requirements_3_11", extra_args = ["--allow-unsafe"],
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CONTRIBUTING.md
debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
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ci/official/envs/linux_arm64_cross_compile
source ci/official/envs/linux_arm64 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_linux_arm64"
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RELEASE.md
* Argument `jit_compile` in `Model.compile()` now applies to `Model.evaluate()` and `Model.predict()`. Setting `jit_compile=True` in `compile()` compiles the model's training, evaluation, and inference steps to [XLA](https://www.tensorflow.org/xla). Note that `jit_compile=True` may not necessarily work for all models.
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