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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false,
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tensorflow/c/eager/c_api_remote_test_util.h
#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function.
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ci/official/bisect.sh
# limitations under the License. # ============================================================================== # Run any CI script and env configuration to bisect a failing target in some # build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job)
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.github/ISSUE_TEMPLATE/tflite-other.md
only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown attributes: value: |
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tensorflow/c/eager/immediate_execution_tensor_handle.h
std::string DebugString() const override; // Returns a Boolean hint indicating whether callers should prefer // `SummarizeValue` to resolving this handle and formatting the tensor. // // For example some tensor handles may represent distributed values, in which // case placement information is lost when resolving the handle. // // If false, a caller might implement pretty-printing by resolving and
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tensorflow/c/experimental/gradients/nn_grad_test.cc
ASSERT_EQ(errors::OK, status_.code()) << status_.message(); immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_;
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ci/official/README.md
# Ex. linux_x86 -- x86_64 Linux platform # Ex. linux_x86_cuda -- x86_64 Linux platform, with Nvidia CUDA support # Ex. macos_arm64 -- arm64 MacOS platform # 3. Add modifiers. Some modifiers for local execution are: # Ex. disk_cache -- Use a local cache # Ex. public_cache -- Use TF's public cache (read-only) # Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only)
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ci/official/requirements_updater/updater_config_repository.bzl
''' Repository rule to set some environment variables. Can be set via build parameter "--repo_env=<VARIABLE_NAME>=<value>" e.g "--repo_env=REQUIREMENTS_FILE_NAME=requirements.in" List of variables: REQUIREMENTS_FILE_NAME ''' def _updater_config_repository_impl(repository_ctx): repository_ctx.file("BUILD", "") requirements_file_name = repository_ctx.os.environ.get("REQUIREMENTS_FILE_NAME", "requirements.in") repository_ctx.file(
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ci/official/debug_tfci.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # This script dumps some information about the environment. It's most useful # for verifying changes to the TFCI scripts system, and most users won't need # to interact with it at all. source "${BASH_SOURCE%/*}/utilities/setup.sh"
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Use lld as the linker build --linkopt="-fuse-ld=lld" build --linkopt="-lm" build --linkopt="-Wl,--undefined-version" # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false,
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