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Config represents configuration information for tf2xla conversion.
Each feed is a positional input argument for the generated computation. The order of each entry matches the order of each input argument.
Each fetch is a positional output argument for the generated computation. The order of each entry matches the order of each output argument.
Feed represents a single feed tensor in the graph, which corresponds to an input argument for the generated computation.
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Optional name for generated code.
Optional data type. This is not normally required, as the graph itself contains this information. However, if the node being fed is an op that is not linked into the binary, then the type cannot be inferred from the node; in this case, the type should be set here.
Fetch represents a single fetch tensor in the graph, which corresponds to an output argument for the generated computation.
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Optional name for generated code.
HostComputeMetadata describes all the sends and recvs from all host compute transfer ops in a computation.
Metadata about each device_to_host transfer
Metadata about each host_to_device transfer
HostTransferMetadata describes a transfer either from host to device or device to host. It has a key that is unique to the computation, and metadata about the list of tensors being transferred.
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The key used to identify this transfer.
For each Tensor being transferred, its type and shape.
TensorId identifies a tensor in a TensorFlow graph, by specifying the output index of a particular node in the graph. If the output of the named node feeds into other node(s), this corresponds to one or more edges. Otherwise it doesn't correspond to any existing edges at all, e.g. for output nodes.
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,TensorMetadata indicates the type and shape of a Tensor that is part of a host compute transfer.
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