1e67c90e2c
XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
44 lines
1.5 KiB
Protocol Buffer
44 lines
1.5 KiB
Protocol Buffer
syntax = "proto3";
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package tensorflow.tfcompile;
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option cc_enable_arenas = true;
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option java_outer_classname = "CompileProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.tfcompile";
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import "tensorflow/core/framework/tensor_shape.proto";
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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 function.
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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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};
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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 function.
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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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};
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// Config represents configuration information for tfcompile.
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message Config {
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// Each feed is a positional input argument for the generated function. The
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// 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 function. The
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// order of each entry matches the order of each output argument.
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repeated Fetch fetch = 2;
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};
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