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ci/official/utilities/setup_macos.sh
# inside the TensorFlow root directory. We then define them as a filegroup # target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel # can register it as an input to compile/link actions and send it to the remote # VMs when needed. # TODO(b/316932689): Avoid copying and replace with a local repository rule. if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
RELEASE.md
and `tf.data.Dataset.range`. * Promote `tf.data.Options.experimental_deterministic` API to `tf.data.Options.deterministic` and deprecate the experimental endpoint. * Move autotuning options from`tf.data.Options.experimental_optimization.autotune*` to a newly created `tf.data.Options.autotune.*` and remove support for `tf.data.Options.experimental_optimization.autotune_buffers`.
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tensorflow/BUILD
"//tensorflow/compiler/mlir/tensorflow:error_util", "//tensorflow/compiler/mlir/tensorflow:export_graphdef", "//tensorflow/compiler/mlir/tensorflow:mlir_import_options", "//tensorflow/compiler/mlir/tensorflow:mlir_roundtrip_flags", "//tensorflow/compiler/mlir/tensorflow:translate_lib", "@local_xla//xla/service:computation_placer", "//tensorflow/core",
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.bazelrc
# This file tries to group and simplify build options for TensorFlow # # ----CONFIG OPTIONS---- # Android options: # android: # android_arm: # android_arm64: # android_x86: # android_x86_64: # # iOS options: # ios: # ios_armv7: # ios_arm64: # ios_x86_64: # ios_fat: # # Macosx options # darwin_arm64: # # Compiler options:
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tensorflow/c/c_api_experimental.cc
return static_cast<TF_Operation*>(static_cast<void*>(node)); } void TF_EnableXLACompilation(TF_SessionOptions* options, unsigned char enable) { tensorflow::ConfigProto& config = options->options.config; auto* optimizer_options = config.mutable_graph_options()->mutable_optimizer_options(); if (enable) { optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::ON_1);
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.github/workflows/stale-issues.yml
if: github.repository == 'tensorflow/tensorflow' runs-on: ubuntu-latest permissions: issues: write pull-requests: write steps: - name: Awaiting response issues uses: actions/stale@6f05e4244c9a0b2ed3401882b05d701dd0a7289b # v7.0.0 with: #Comma separated list of labels that can be assigned to issues to exclude them from being marked as stale exempt-issue-labels: 'override-stale'
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.github/workflows/cffconvert.yml
jobs: validate: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks name: "validate" runs-on: ubuntu-latest steps: - name: Check out a copy of the repository uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Check whether the citation metadata from CITATION.cff is valid
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.github/workflows/update-rbe.yml
jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks steps: - name: Checkout code uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Update the RBE Configs run: | function map() { # The "digest" that allows us to pull an image is not the digest as
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ci/official/utilities/repack_libtensorflow.sh
# under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a # bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a
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.github/workflows/sigbuild-docker.yml
python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx uses: docker/setup-buildx-action@8c0edbc76e98fa90f69d9a2c020dcb50019dc325 # v2.2.1 -
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