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CONTRIBUTING.md
change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests. - We can't move forward if these tests fail.
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ci/official/README.md
1. `envs/*` are lists of variables made with bash syntax. A user must set a `TFCI` env param pointing to a list of `env` files. 2. `utilities/setup.sh`, initialized by all top-level scripts, reads and sets values from those `TFCI` paths. - `set -a` / `set -o allexport` exports the variables from `env` files so all scripts can use them. - `utilities/setup_docker.sh` creates a container called `tf` with all
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SECURITY.md
vulnerabilities. ## Security properties of execution modes TensorFlow has several execution modes, with Eager-mode being the default in v2. Eager mode lets users write imperative-style statements that can be easily inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape
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tensorflow/BUILD
constraint_values = if_google( ["//third_party/bazel_platforms/os:fuchsia"], [], ), values = if_oss( # TODO(b/149248802) When we have a Fuchsia Bazel SDK update to use the values it sets. {"cpu": "fuchsia"}, {}, ), visibility = ["//visibility:public"], ) config_setting( name = "fuchsia_x86_64", constraint_values = if_google(
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RELEASE.md
* `tf.experimental.dtensor` * Deprecated `dtensor.run_on` in favor of `dtensor.default_mesh` to correctly indicate that the context does not override the mesh that the ops and functions will run on, it only sets a fallback default mesh.
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
test "$WHEEL_MEGABYTES" -le "$LARGEST_OK_SIZE" } # Note: this runs before the tests further down the file, so TF is installed in # the venv and the venv is active when those tests run. The venv gets cleaned # up in teardown_file() above. @test "Wheel is installable" { python3 -m venv /tf/venv source /tf/venv/bin/activate python3 -m pip install --upgrade setuptools wheel
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.bazelrc
build:android_x86_64 --fat_apk_cpu=x86_64 # Build everything statically for Android since all static libs are later # bundled together into a single .so for deployment. build:android --dynamic_mode=off # Sets the default Apple platform to macOS. build:macos --apple_platform_type=macos # gRPC on MacOS requires this #define build:macos --copt=-DGRPC_BAZEL_BUILD # Avoid hitting command line argument limit
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ci/official/envs/ci_default
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Note: this file gets sourced in utilities/setup.sh, which has "set -u" # (error on undefined variables). This ensures that (a) every TFCI variable # has an explicit default value, and (b) no script can accidentally use a
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README.md
[tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and [community](https://www.tensorflow.org/community) resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working within
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