case:yes lang:proto repeated\ [a-z]

Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/step_stats.proto
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int64 persistent_memory_size = 3;
repeated int64 persistent_tensor_alloc_ids = 5;

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int64 device_persistent_memory_size = 4 [deprecated = true];
repeated int64 device_persistent_tensor_alloc_ids = 6 [deprecated = true];
}
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/rewriter_config.proto
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// If present, only perform optimization for these ops.
repeated string enable_op = 1;
}
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// schedule will be run after - in the order that they were specified.
repeated string optimizers = 100;
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/cpp_shape_inference.proto
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message CppShapeInferenceInputsNeeded {
repeated int32 input_tensors_needed = 1;
repeated int32 input_tensors_as_shapes_needed = 2;
}
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/tensor.proto
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// the "xxx_val" attributes. We are not using oneof because as oneofs cannot
// contain repeated fields it would require another extra set of messages.

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//
// In version 0, if the "repeated xxx" representations contain only one
// element, that element is repeated to fill the shape. This makes it easy
// to represent a constant Tensor with a single value.
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// reduce serialization overhead during RPC call by avoiding serialization of
// many repeated small items.
bytes tensor_content = 4;
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/attr_value.proto
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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)"
Search Result Root tensorflow/tensorboard
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tensorboard/data/proto/data_provider.proto
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// list is empty, no runs match.
repeated string names = 1;
}
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// list is empty, no tags match.
repeated string names = 1;
}
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// These are repeated primitive values, so they will be packed on the wire:
// <https://developers.google.com/protocol-buffers/docs/encoding#packed>
message ScalarData {
repeated int64 step = 1;
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/saved_object_graph.proto
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message SavedFunction {
repeated string concrete_functions = 1;
FunctionSpec function_spec = 2;
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message SavedConcreteFunction {
repeated int32 bound_inputs = 2;

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// A sequence of unique strings, one per Tensor argument.
repeated string argument_keywords = 2;
// The prefix of `argument_keywords` which may be identified by position.
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/coordination_config.proto
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// error propagation to other tasks.
repeated string recoverable_jobs = 9;
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/debug.proto
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// e.g., {"DebugIdentity", "DebugNanCount"}
repeated string debug_ops = 3;

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// TODO(cais): More visible documentation of this in g3docs.
repeated string debug_urls = 4;

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// Line-by-line content of the source code file.
repeated string lines = 5;
}
Search Result Root tensorflow/tensorboard
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tensorboard/compat/proto/config.proto
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// "visible_device_list" above for more information.
repeated float memory_limit_mb = 1;

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// of this must match with the above memory_limit_mb.
repeated int32 priority = 2;

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// virtual device list is used to break ties.
repeated int32 device_ordinal = 3;
}

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