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syntax = "proto3";
package tensorflow.tf2xla;
option cc_enable_arenas = true;
option java_outer_classname = "Tf2XlaProtos";
option java_multiple_files = true;
option java_package = "org.tensorflow.tf2xla";
import "tensorflow/core/framework/tensor_shape.proto";
import "tensorflow/core/framework/types.proto";
// 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.
message TensorId {
string node_name = 1;
int64 output_index = 2;
};
// Feed represents a single feed tensor in the graph, which corresponds to an
// input argument for the generated computation.
message Feed {
TensorId id = 1;
TensorShapeProto shape = 2;
string name = 3; // 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.
DataType type = 4;
};
// Fetch represents a single fetch tensor in the graph, which corresponds to an
// output argument for the generated computation.
message Fetch {
TensorId id = 1;
string name = 2; // Optional name for generated code.
};
// Config represents configuration information for tf2xla conversion.
message Config {
// Each feed is a positional input argument for the generated computation.
// The order of each entry matches the order of each input argument.
repeated Feed feed = 1;
// Each fetch is a positional output argument for the generated computation.
// The order of each entry matches the order of each output argument.
repeated Fetch fetch = 2;
};
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