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syntax = "proto3";
package tensorflow;
// option cc_enable_arenas = true;
import "tensorflow/core/framework/tensor.proto";
import "tensorflow/core/framework/tensor_shape.proto";
import "tensorflow/core/framework/types.proto";
// Protocol buffer representing the value for an attr used to configure an Op.
// Comment indicates the corresponding attr type. Only the field matching the
// attr type may be filled.
message AttrValue {
message ListValue {
repeated bytes s = 2; // "list(string)"
repeated int64 i = 3 [packed = true]; // "list(int)"
repeated float f = 4 [packed = true]; // "list(float)"
repeated bool b = 5 [packed = true]; // "list(bool)"
repeated DataType type = 6 [packed = true]; // "list(type)"
repeated TensorShapeProto shape = 7; // "list(shape)"
repeated TensorProto tensor = 8; // "list(tensor)"
// TODO(zhifengc/josh11b): implements list(func) if needed.
}
oneof value {
bytes s = 2; // "string"
int64 i = 3; // "int"
float f = 4; // "float"
bool b = 5; // "bool"
DataType type = 6; // "type"
TensorShapeProto shape = 7; // "shape"
TensorProto tensor = 8; // "tensor"
ListValue list = 1; // any "list(...)"
// "func" represents a function. func.name is a function's name or
// a primitive op's name. func.attr.first is the name of an attr
// defined for that function. func.attr.second is the value for
// that attr in the instantiation.
NameAttrList func = 10;
// This is a placeholder only used in nodes defined inside a
// function. It indicates the attr value will be supplied when
// the function is instantiated. For example, let us suppose a
// node "N" in function "FN". "N" has an attr "A" with value
// placeholder = "foo". When FN is instantiated with attr "foo"
// set to "bar", the instantiated node N's attr A will have been
// given the value "bar".
string placeholder = 9;
}
}
// A list of attr names and their values. The whole list is attached
// with a string name. E.g., MatMul[T=float].
message NameAttrList {
string name = 1;
map<string, AttrValue> attr = 2;
}
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