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CONTRIBUTING.md
### Typical Pull Request Workflow - **1. New PR** - As a contributor, you submit a New PR on GitHub. - We inspect every incoming PR and add certain labels to the PR such as `size:`, `comp:` etc. At this stage we check if the PR is valid and meets certain quality requirements. For example, we check if the CLA is signed, PR has
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tensorflow/c/eager/c_api.h
// Fetches the current number of inputs attached to `op`. // // Does not use the operation's definition to determine how many inputs should // be attached. It is intended for use with TFE_OpGetFlatInput to inspect an // already-finalized operation. // // Note that TFE_OpGetFlatInputCount and TFE_OpGetFlatInput operate on a flat // sequence of inputs, unlike TFE_OpGetInputLength (for getting the length of a
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tensorflow/c/eager/c_api_experimental.h
// APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs;
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tensorflow/c/eager/tape.h
void DeleteTrace(int64_t tensor_id); // Consumes the internal state of the tape (so cannot be called more than // once) and produces the gradient of the target tensors with respect to the // source tensors. The output gradients are used if not empty and not // null. The result is populated with one tensor per target element. // When running backward functions, builds zeros-like tensors for
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// ParallelDevice. class ParallelTensor { public: // Construct a ParallelTensor from TensorHandles placed on the component // devices of a ParallelDevice. If called, ParallelTensor::Shape inspects // `components` to determine a shape. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device, std::vector<TensorHandlePtr> components, TF_Status* status);
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