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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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tensorflow/c/eager/c_api_unified_experimental.cc
(GetFactories()[name] == factory) && "Duplicate tracing factory registration"); GetFactories()[name] = factory; } Status SetDefaultTracingEngine(const char* name) { auto entry = GetFactories().find(name); if (entry != GetFactories().end()) { default_factory = GetFactories().find(name)->second; return absl::OkStatus(); } string msg = absl::StrCat(
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tensorflow/c/eager/tape.h
// gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update // the gradients of its inputs. Once we have computed all gradients for a single // input we can mark this input as done, and this can trigger adding an entry to // the stack if all outputs of that entry are now done. // // When the stack is empty we have gradients for all tensors we're interested
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ci/official/requirements_updater/README.md
3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ``` load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") ``` Add a new entry for the loaded `compile_pip_requirements`, e.g. ``` compile_pip_requirements_3_11( name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in",
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RELEASE.md
tf.lite.TFLiteConverter to False to disable this change * Native TF Lite variables are now enabled during conversion by default on all v2 TfLiteConverter entry points. `experimental_enable_resource_variables` on tf.lite.TFLiteConverter is now True by default and will be removed in the future. * `tf.function`:
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