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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # 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
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ci/official/pycpp.sh
else tfrun bazel test $TFCI_BAZEL_COMMON_ARGS --profile "$TFCI_OUTPUT_DIR/profile.json.gz" --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test" fi # Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 06 17:29:44 GMT 2024 - 1.3K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --copt=-Wno-gnu-offsetof-extensions # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # 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
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ci/official/README.md
# "rbe", if you have set up your system to use RBE (see further below). # # Here is how to choose your TFCI value: # 1. A Python version must come first, because other scripts reference it. # Ex. py39 -- Python 3.9 # Ex. py310 -- Python 3.10 # Ex. py311 -- Python 3.11 # Ex. py312 -- Python 3.12 # 2. Choose the platform, which corresponds to the version of TensorFlow to
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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tensorflow/c/eager/dlpack.cc
// There are two ways to represent compact row-major data // 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data(); dlm_tensor->dl_tensor.byte_offset =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
return status.status; } absl::StatusOr<bool> ShallPinToThisDevice( const ImmediateExecutionOperation* op) override { TF_Status status; // Let this custom device choose the device to pin this op on if it // implements the pinning function. if (device_.shall_pin_to_this_device != nullptr) { return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status); }
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RELEASE.md
as arg with default value `None` to choose the I/O device for loading models and weights. * Update `tf.saved_model.SaveOptions` with [`experimental_io_device`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/saved_model/SaveOptions?hl=en) as arg with default value `None` to choose the I/O device for saving models and weights.
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configure.py
write_action_env_to_bazelrc('ANDROID_SDK_HOME', android_sdk_home_path) def get_ndk_api_level(environ_cp, android_ndk_home_path): """Gets the appropriate NDK API level to use for the provided Android NDK path. """ # First check to see if we're using a blessed version of the NDK. properties_path = '%s/source.properties' % android_ndk_home_path if is_windows() or is_cygwin():
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ci/devinfra/docker_windows/Dockerfile
$old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \ [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";${zulu_root}\bin\", \"Machine\"); \ [Environment]::SetEnvironmentVariable(\"JAVA_HOME\", $zulu_root, \"Machine\") # Install gcloud (install.bat installs directly into bin folder of extracted zip contents) # Install needed gcloud components RUN Add-Type -AssemblyName "System.IO.Compression.FileSystem"; \
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