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ci/official/requirements_updater/BUILD.bazel
compile_pip_requirements_3_9( name = "requirements_3_9", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10", extra_args = ["--allow-unsafe"], requirements_in = REQUIREMENTS_FILE_NAME, requirements_txt = "requirements_lock_3_10.txt", )
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tensorflow/c/experimental/grappler/grappler_internal.h
typedef void (*TFInitGraphPluginFn)(TP_OptimizerRegistrationParams* const, TF_Status* const); // Registers Graph optimizers. Status InitGraphPlugin(void* dso_handle); // Allow registering a graph optimizer using a function (used for // testing). Status InitGraphPlugin(TFInitGraphPluginFn init_fn); struct GrapplerItem; class Cluster; struct TFStatusDeleter {
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Jun 08 08:58:23 GMT 2022 - 3.5K bytes - Viewed (1) -
ci/official/utilities/code_check_changed_files.bats
setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.: # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
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tensorflow/c/c_api_test.cc
TF_Operation* plusB = Add(plus2, b, graph, s, "plusB"); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Setup a session and a partial run handle. The partial run will allow // computation of A + 2 + B in two phases (calls to TF_SessionPRun): // 1. Feed A and get (A+2) // 2. Feed B and get (A+2)+B TF_SessionOptions* opts = TF_NewSessionOptions();
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tensorflow/c/c_api_experimental.h
// `enable_xla_compilation` is non-zero, and OFF otherwise. // b) ConfigProto.gpu_options.allow_growth is set to `gpu_memory_allow_growth`. // c) ConfigProto.device_count is set to `num_cpu_devices`. TF_CAPI_EXPORT extern TF_Buffer* TF_CreateConfig( unsigned char enable_xla_compilation, unsigned char gpu_memory_allow_growth, unsigned int num_cpu_devices);
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tensorflow/c/c_api_experimental.cc
} else { optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::OFF); } auto* gpu_options = config.mutable_gpu_options(); gpu_options->set_allow_growth(gpu_memory_allow_growth); (*config.mutable_device_count())["CPU"] = num_cpu_devices; // TODO(b/113217601): This is needed for EagerContext::runner_ to use a
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ci/official/requirements_updater/README.md
name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly",
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configure.py
def write_action_env_to_bazelrc(var_name, var): write_to_bazelrc('build --action_env {}="{}"'.format(var_name, str(var))) def run_shell(cmd, allow_non_zero=False, stderr=None): if stderr is None: stderr = sys.stdout if allow_non_zero: try: output = subprocess.check_output(cmd, stderr=stderr) except subprocess.CalledProcessError as e: output = e.output else:
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.github/workflows/update-nightly.yml
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ on: workflow_dispatch: # Allow manual triggers schedule: - cron: 0 4 * * * # 4am UTC is 9pm PDT and 8pm PST name: Set nightly branch to master HEAD permissions: {} jobs: master-to-nightly:
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tensorflow/c/eager/tape.h
// // Gradient is the type returned by gradient functions. In Python TF it's either // Tensor or IndexedSlices or None, which here we map to nullptr. Gradients need // to allow their size to be computed and they need to be passable to a backward // function and deleted (as the backprop code creates lots of gradients the user // is not interested in). //
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