wehub-resource-sync
53 lines
1.7 KiB
Protocol Buffer
53 lines
1.7 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 "xla/xla_data.proto";
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import "tensorflow/core/framework/tensor.proto";
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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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message XlaArgumentProto {
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int32 kind = 1;
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DataType type = 2;
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message Shape {
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oneof shape {
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TensorShapeProto tensor_shape = 1;
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xla.ShapeProto xla_shape = 2;
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}
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}
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optional Shape shape = 3;
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TensorProto constant_value = 4;
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optional TensorProto value_bound = 5;
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optional TensorProto value_dynamism = 6;
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string name = 7;
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string node_name = 8;
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int32 resource_kind = 9;
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bool initialized = 10;
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bool fast_mem = 11;
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int64 max_array_size = 12;
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repeated string tensor_array_gradients = 13;
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bool is_same_data_across_replicas = 14;
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bool requires_broadcast = 15;
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}
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