wehub-resource-sync
86 lines
3.2 KiB
Protocol Buffer
86 lines
3.2 KiB
Protocol Buffer
// Copyright 2026 The TensorFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// ==============================================================================
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syntax = "proto3";
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package tensorflow.tf2xla;
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import "tensorflow/core/framework/tensor_shape.proto";
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import "tensorflow/core/framework/types.proto";
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option cc_enable_arenas = true;
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option java_outer_classname = "Tf2XlaProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.tf2xla";
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// TensorId identifies a tensor in a TensorFlow graph, by specifying the output
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// index of a particular node in the graph. If the output of the named node
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// feeds into other node(s), this corresponds to one or more edges. Otherwise
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// it doesn't correspond to any existing edges at all, e.g. for output nodes.
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message TensorId {
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string node_name = 1;
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int64 output_index = 2;
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}
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// Feed represents a single feed tensor in the graph, which corresponds to an
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// input argument for the generated computation.
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message Feed {
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TensorId id = 1;
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TensorShapeProto shape = 2;
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string name = 3; // Optional name for generated code.
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// Optional data type. This is not normally required, as the graph itself
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// contains this information. However, if the node being fed is an op that is
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// not linked into the binary, then the type cannot be inferred from the node;
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// in this case, the type should be set here.
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DataType type = 4;
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}
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// Fetch represents a single fetch tensor in the graph, which corresponds to an
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// output argument for the generated computation.
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message Fetch {
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TensorId id = 1;
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string name = 2; // Optional name for generated code.
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// Optional shape and data type. If specified, may be used for validation.
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TensorShapeProto shape = 3;
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DataType type = 4;
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}
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// Variable represents a resource variable with the given name, shape and type.
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message Variable {
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string node_name = 1;
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string name =
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2; // Optional name for generated code. If empty, node_name will be used.
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TensorShapeProto shape = 3;
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DataType type = 4;
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// Flag for variables that are never assigned. Assignments to a read-only
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// variable or unassigned variables that are not read-only are invalid.
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bool readonly = 5;
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}
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// Config represents configuration information for tf2xla conversion.
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message Config {
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// Each feed is a positional input argument for the generated computation.
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// The order of each entry matches the order of each input argument.
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repeated Feed feed = 1;
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// Each fetch is a positional output argument for the generated computation.
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// The order of each entry matches the order of each output argument.
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repeated Fetch fetch = 2;
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// Each variable is a named input and output of the generated computation.
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repeated Variable variable = 3;
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}
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