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tensorflow/c/eager/custom_device_testutil.h
void RegisterLoggingDevice(TFE_Context* context, const char* name, bool strict_scope_placement, bool* arrived_flag, bool* executed_flag, TF_Status* status); void AllocateLoggingDevice(const char* name, bool* arrived_flag, bool* executed_flag, TFE_CustomDevice** device, void** device_info);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 1.6K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_testutil.cc
custom_device.delete_device = &DeleteLoggingDevice; custom_device.execute = &LoggingDeviceExecute; LoggingDevice* device = new LoggingDevice; device->arrived_flag = arrived_flag; device->executed_flag = executed_flag; device->device_name = name; device->underlying_device = "/job:localhost/replica:0/task:0/device:CPU:0"; device->strict_scope_placement = strict_scope_placement;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
} // namespace tensorflow // Due to the usages of flags for this manual test, we need a special `main` to // ensure our flags are parsed properly as `testing::InitGoogleTest` silently // ignores other flags. Furthermore, we need this to ensure that the DSO is // loaded exactly once, if provided. GTEST_API_ int main(int argc, char** argv) { const std::vector<tensorflow::Flag> flag_list = {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0) -
ci/official/utilities/get_versions.sh
export TF_VER_PATCH=$(awk '/#define TF_PATCH_VERSION/ {print $3}' tensorflow/core/public/version.h) # Note: in awk, "print $N" prints the Nth "field", where fields are strings separated # by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# odd to attempt to validate the quality of the pip package. The wheel is # installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# odd to attempt to validate the quality of the pip package. The wheel is # installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available
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tensorflow/c/c_api_experimental.cc
// These XLA flags are needed to trigger XLA properly from C (more generally // non-Python) clients. If this API is called again with `enable` set to // false, it is safe to keep these flag values as is. tensorflow::MarkForCompilationPassFlags* flags = tensorflow::GetMarkForCompilationPassFlags(); flags->tf_xla_cpu_global_jit = true; flags->tf_xla_min_cluster_size = 1; } else {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// // Use in tests to allow XLA to fallback to TF classic. This has global effect. TF_CAPI_EXPORT unsigned char TF_SetXlaEnableLazyCompilation( unsigned char enable); TF_CAPI_EXPORT unsigned char TF_SetTfXlaCpuGlobalJit(unsigned char enable); // Sets XLA's auto jit mode according to the specified string, which is parsed // as if passed in XLA_FLAGS. This has global effect.
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tensorflow/BUILD
) # This flag enables experimental TPU support bool_flag( name = "enable_tpu_support", build_setting_default = False, ) config_setting( name = "with_tpu_support_define", define_values = {"with_tpu_support": "true"}, visibility = ["//visibility:public"], ) config_setting( name = "with_tpu_support_flag", flag_values = {":enable_tpu_support": "True"},
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README.md
A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and [tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*
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