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chore: import upstream snapshot with attribution
2026-07-13 12:37:45 +08:00

175 lines
6.0 KiB
JavaScript

export const third_party = {};
third_party.tensorflow = {};
third_party.tensorflow.python = {};
third_party.tensorflow.python.keras = {};
third_party.tensorflow.python.keras.protobuf = {};
third_party.tensorflow.python.keras.protobuf.SavedMetadata = class SavedMetadata {
constructor() {
this.nodes = [];
}
static decode(reader, length) {
const message = new third_party.tensorflow.python.keras.protobuf.SavedMetadata();
const end = length === undefined ? reader.length : reader.position + length;
while (reader.position < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.nodes.push(third_party.tensorflow.python.keras.protobuf.SavedObject.decode(reader, reader.uint32()));
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
}
static decodeText(reader) {
const message = new third_party.tensorflow.python.keras.protobuf.SavedMetadata();
reader.start();
while (!reader.end()) {
const tag = reader.tag();
switch (tag) {
case "nodes":
message.nodes.push(third_party.tensorflow.python.keras.protobuf.SavedObject.decodeText(reader));
break;
default:
reader.field(tag, message);
break;
}
}
return message;
}
};
third_party.tensorflow.python.keras.protobuf.SavedObject = class SavedObject {
static decode(reader, length) {
const message = new third_party.tensorflow.python.keras.protobuf.SavedObject();
const end = length === undefined ? reader.length : reader.position + length;
while (reader.position < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 2:
message.node_id = reader.int32();
break;
case 3:
message.node_path = reader.string();
break;
case 4:
message.identifier = reader.string();
break;
case 5:
message.metadata = reader.string();
break;
case 6:
message.version = third_party.tensorflow.python.keras.protobuf.VersionDef.decode(reader, reader.uint32());
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
}
static decodeText(reader) {
const message = new third_party.tensorflow.python.keras.protobuf.SavedObject();
reader.start();
while (!reader.end()) {
const tag = reader.tag();
switch (tag) {
case "node_id":
message.node_id = reader.int32();
break;
case "node_path":
message.node_path = reader.string();
break;
case "identifier":
message.identifier = reader.string();
break;
case "metadata":
message.metadata = reader.string();
break;
case "version":
message.version = third_party.tensorflow.python.keras.protobuf.VersionDef.decodeText(reader);
break;
default:
reader.field(tag, message);
break;
}
}
return message;
}
};
third_party.tensorflow.python.keras.protobuf.SavedObject.prototype.node_id = 0;
third_party.tensorflow.python.keras.protobuf.SavedObject.prototype.node_path = "";
third_party.tensorflow.python.keras.protobuf.SavedObject.prototype.identifier = "";
third_party.tensorflow.python.keras.protobuf.SavedObject.prototype.metadata = "";
third_party.tensorflow.python.keras.protobuf.SavedObject.prototype.version = null;
third_party.tensorflow.python.keras.protobuf.VersionDef = class VersionDef {
constructor() {
this.bad_consumers = [];
}
static decode(reader, length) {
const message = new third_party.tensorflow.python.keras.protobuf.VersionDef();
const end = length === undefined ? reader.length : reader.position + length;
while (reader.position < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.producer = reader.int32();
break;
case 2:
message.min_consumer = reader.int32();
break;
case 3:
message.bad_consumers = reader.array(message.bad_consumers, () => reader.int32(), tag);
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
}
static decodeText(reader) {
const message = new third_party.tensorflow.python.keras.protobuf.VersionDef();
reader.start();
while (!reader.end()) {
const tag = reader.tag();
switch (tag) {
case "producer":
message.producer = reader.int32();
break;
case "min_consumer":
message.min_consumer = reader.int32();
break;
case "bad_consumers":
reader.array(message.bad_consumers, () => reader.int32());
break;
default:
reader.field(tag, message);
break;
}
}
return message;
}
};
third_party.tensorflow.python.keras.protobuf.VersionDef.prototype.producer = 0;
third_party.tensorflow.python.keras.protobuf.VersionDef.prototype.min_consumer = 0;