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CONTRIBUTING.md
initiates CI/CD tests. - We can't move forward if these tests fail. - In such situations, we may request you to make further changes to your PR for the tests to pass. - Once the tests pass, we now bring all the code into the internal code base, using a job called "copybara". **5. Copy to Google Internal codebase and run internal CI**
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
[[ ! -s $BATS_FILE_TMPDIR/repeats ]] } # It's unclear why, but running this on //tensorflow/... is faster than running # only on affected targets, usually. There are targets in //tensorflow/lite that # don't pass --nobuild, so they're on their own. # # Although buildifier checks for formatting as well, "bazel build nobuild" # checks for cross-file issues like bad includes or missing BUILD definitions. #
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tensorflow/c/BUILD
"//tensorflow/cc:while_loop", "//tensorflow/cc/saved_model:loader_lite", "//tensorflow/compiler/mlir/tfr:graph_decompose_pass", "//tensorflow/compiler/mlir/tfr:node_expansion_pass", "//tensorflow/core:core_cpu", "//tensorflow/core:core_cpu_internal", "//tensorflow/core:framework", "//tensorflow/core:lib",
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tensorflow/c/experimental/gradients/math_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_; Status status_;
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tensorflow/c/c_api_experimental.h
// device and related kernels present in that library. This function is not // supported on embedded on mobile and embedded platforms and will fail if // called. // // Pass "library_filename" to a platform-specific mechanism for dynamically // loading a library. The rules for determining the exact location of the // library are platform-specific and are not documented here. //
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ci/official/utilities/code_check_full.bats
[[ ! -s $BATS_FILE_TMPDIR/repeats ]] } # It's unclear why, but running this on //tensorflow/... is faster than running # only on affected targets, usually. There are targets in //tensorflow/lite that # don't pass --nobuild, so they're on their own. # # Although buildifier checks for formatting as well, "bazel build nobuild" # checks for cross-file issues like bad includes or missing BUILD definitions. #
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tensorflow/c/eager/tape.h
// Set temporarily while in the Accumulate method; if backward_tape is not // nullptr then we forward op executions to it so Accumulate can compute a // backward pass on its backward function. // // Not owned by the ForwardAccumulator. The method which sets // `backward_tape` keeps ownership. GradientTape<Gradient, BackwardFunction, TapeTensor>* backward_tape;
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tensorflow/c/c_api_experimental.cc
// This builder is used in the eager API to build a NodeDef. struct TF_AttrBuilder : public tensorflow::AttrBuilder { using tensorflow::AttrBuilder::AttrBuilder; // The string buffers to make sure that any `attr_name` we pass into // `builder->Set()` will outlive the subsequent // `TF_AttrBuilderCheckCanRunOnDevice()` call(s) on the same `builder`. std::set<std::string> attr_names; };
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tensorflow/c/eager/c_api_distributed_test.cc
return tensorflow::errors::Internal("Graph pass runs for more than once!"); } private: bool first_call_ = true; }; // After the graph pass is registered, it takes effect globally and can affect // other test cases. Define a static variable to switch it on and off. bool GraphErrorInjectionPass::enabled_ = false; // Test to ensure that a registered graph optimization pass is only executed
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README.md
desired TensorFlow version, for example, branch `r2.8` for version 2.8. * Apply (that is, cherry-pick) the desired changes and resolve any code conflicts. * Run TensorFlow tests and ensure they pass. * [Build](https://www.tensorflow.org/install/source) the TensorFlow pip package from source. ## Continuous build status You can find more community-supported platforms and configurations in the
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