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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=$TFCI_PYTHON_VERSION --config cross_compile_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1 TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk" TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE="/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk"
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ci/official/requirements_updater/README.md
3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ``` load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") ``` Add a new entry for the loaded `compile_pip_requirements`, e.g. ``` compile_pip_requirements_3_11( name = "requirements_3_11", extra_args = ["--allow-unsafe"],
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ci/official/envs/linux_arm64_cross_compile
source ci/official/envs/linux_arm64 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_linux_arm64"
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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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RELEASE.md
now customizable via overriding `Model.compute_metrics()`. * Losses computation logic in default `Model.train_step()` is now customizable via overriding `Model.compute_loss()`. * `jit_compile` added to `Model.compile()` on an opt-in basis to compile the model's training step with [XLA](https://www.tensorflow.org/xla). Note that `jit_compile=True` may not necessarily work for all models.
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ci/official/envs/enable_pycpp_build
# limitations under the License. # ============================================================================== # # Changes the behavior in pycpp.sh from "run all tests" to "verify that all # tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.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_clang_aarch64_config_aarch64//crosstool:toolchain" build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point.
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tensorflow/BUILD
"@com_google_absl//:__subpackages__", "@com_google_googleapis//:__subpackages__", "@com_google_protobuf//:__subpackages__", "@com_googlesource_code_re2//:__subpackages__", "@compute_library//:__subpackages__", "@curl//:__subpackages__", "@double_conversion//:__subpackages__", "@eigen_archive//:__subpackages__", "@farmhash_archive//:__subpackages__",
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