7254f7b4d1
Build / Build (macos-latest) (push) Has been cancelled
Build / Build (ubuntu-latest) (push) Has been cancelled
Build / Build (windows-latest) (push) Has been cancelled
Build / Analyze (javascript) (push) Has been cancelled
Build / Analyze (python) (push) Has been cancelled
277 lines
11 KiB
JavaScript
277 lines
11 KiB
JavaScript
|
|
const uff = {};
|
|
|
|
uff.ModelFactory = class {
|
|
|
|
async match(context) {
|
|
const identifier = context.identifier;
|
|
const extension = identifier.lastIndexOf('.') > 0 ? identifier.split('.').pop().toLowerCase() : '';
|
|
if (extension === 'uff' || extension === 'pb') {
|
|
const tags = await context.tags('pb');
|
|
if (tags.size > 0 &&
|
|
tags.has(1) && tags.get(1) === 0 &&
|
|
tags.has(2) && tags.get(2) === 0 &&
|
|
tags.has(3) && tags.get(3) === 2 &&
|
|
tags.has(4) && tags.get(4) === 2 &&
|
|
(!tags.has(5) || tags.get(5) === 2)) {
|
|
return context.set('uff.pb');
|
|
}
|
|
} else if (extension === 'pbtxt' || identifier.toLowerCase().endsWith('.uff.txt')) {
|
|
const tags = await context.tags('pbtxt');
|
|
if (tags.has('version') && tags.has('descriptors') && tags.has('graphs')) {
|
|
return context.set('uff.pbtxt');
|
|
}
|
|
}
|
|
return null;
|
|
}
|
|
|
|
async open(context) {
|
|
uff.proto = await context.require('./uff-proto');
|
|
uff.proto = uff.proto.uff;
|
|
let meta_graph = null;
|
|
switch (context.type) {
|
|
case 'uff.pb': {
|
|
try {
|
|
const reader = await context.read('protobuf.binary');
|
|
meta_graph = uff.proto.MetaGraph.decode(reader);
|
|
} catch (error) {
|
|
const message = error && error.message ? error.message : error.toString();
|
|
throw new uff.Error(`File format is not uff.MetaGraph (${message.replace(/\.$/, '')}).`);
|
|
}
|
|
break;
|
|
}
|
|
case 'uff.pbtxt': {
|
|
try {
|
|
const reader = await context.read('protobuf.text');
|
|
meta_graph = uff.proto.MetaGraph.decodeText(reader);
|
|
} catch (error) {
|
|
throw new uff.Error(`File text format is not uff.MetaGraph (${error.message}).`);
|
|
}
|
|
break;
|
|
}
|
|
default: {
|
|
throw new uff.Error(`Unsupported UFF format '${context.type}'.`);
|
|
}
|
|
}
|
|
const metadata = await context.metadata('uff-metadata.json');
|
|
return new uff.Model(metadata, meta_graph);
|
|
}
|
|
};
|
|
|
|
uff.Model = class {
|
|
|
|
constructor(metadata, meta_graph) {
|
|
const version = meta_graph.version;
|
|
this.format = `UFF${version ? ` v${version}` : ''}`;
|
|
this.imports = meta_graph.descriptors.map((descriptor) => `${descriptor.id} v${descriptor.version}`);
|
|
const references = new Map(meta_graph.referenced_data.map((item) => [item.key, item.value]));
|
|
for (const graph of meta_graph.graphs) {
|
|
for (const node of graph.nodes) {
|
|
for (const field of node.fields) {
|
|
if (field.value.type === 'ref' && references.has(field.value.ref)) {
|
|
field.value = references.get(field.value.ref);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
this.modules = meta_graph.graphs.map((graph) => new uff.Graph(metadata, graph));
|
|
}
|
|
};
|
|
|
|
uff.Graph = class {
|
|
|
|
constructor(metadata, graph) {
|
|
this.name = graph.id;
|
|
this.inputs = [];
|
|
this.outputs = [];
|
|
this.nodes = [];
|
|
const values = new Map();
|
|
const counts = new Map();
|
|
for (const node of graph.nodes) {
|
|
for (const input of node.inputs) {
|
|
counts.set(input, counts.has(input) ? counts.get(input) + 1 : 1);
|
|
values.set(input, new uff.Value(input));
|
|
}
|
|
if (!values.has(node.id)) {
|
|
values.set(node.id, new uff.Value(node.id));
|
|
}
|
|
}
|
|
values.map = (name) => {
|
|
return values.get(name);
|
|
};
|
|
for (let i = graph.nodes.length - 1; i >= 0; i--) {
|
|
const node = graph.nodes[i];
|
|
if (node.operation === 'Const' && node.inputs.length === 0 && counts.get(node.id) === 1) {
|
|
const fields = {};
|
|
for (const field of node.fields) {
|
|
fields[field.key] = field.value;
|
|
}
|
|
if (fields.dtype && fields.shape && fields.values) {
|
|
const tensor = new uff.Tensor(fields.dtype.dtype, fields.shape, fields.values);
|
|
values.set(node.id, new uff.Value(node.id, tensor.type, tensor));
|
|
graph.nodes.splice(i, 1);
|
|
}
|
|
}
|
|
if (node.operation === 'Input' && node.inputs.length === 0) {
|
|
const fields = {};
|
|
for (const field of node.fields) {
|
|
fields[field.key] = field.value;
|
|
}
|
|
const type = fields.dtype && fields.shape ? new uff.TensorType(fields.dtype.dtype, fields.shape) : null;
|
|
values.set(node.id, new uff.Value(node.id, type, null));
|
|
}
|
|
}
|
|
for (const node of graph.nodes) {
|
|
if (node.operation === 'Input') {
|
|
this.inputs.push(new uff.Argument(node.id, [values.get(node.id)]));
|
|
continue;
|
|
}
|
|
if (node.operation === 'MarkOutput' && node.inputs.length === 1) {
|
|
this.outputs.push(new uff.Argument(node.id, [values.get(node.inputs[0])]));
|
|
continue;
|
|
}
|
|
this.nodes.push(new uff.Node(metadata, node, values));
|
|
}
|
|
}
|
|
};
|
|
|
|
uff.Argument = class {
|
|
|
|
constructor(name, value, type = null) {
|
|
this.name = name;
|
|
this.value = value;
|
|
this.type = type;
|
|
}
|
|
};
|
|
|
|
uff.Value = class {
|
|
|
|
constructor(name, type = null, initializer = null) {
|
|
if (typeof name !== 'string') {
|
|
throw new uff.Error(`Invalid value identifier '${JSON.stringify(name)}'.`);
|
|
}
|
|
this.name = name;
|
|
this.type = type;
|
|
this.initializer = initializer;
|
|
}
|
|
};
|
|
|
|
uff.Node = class {
|
|
|
|
constructor(metadata, node, values) {
|
|
this.name = node.id;
|
|
this.type = metadata.type(node.operation) || { name: node.operation };
|
|
this.attributes = [];
|
|
this.inputs = [];
|
|
this.outputs = [];
|
|
if (node.inputs && node.inputs.length > 0) {
|
|
let index = 0;
|
|
if (this.type && this.type.inputs) {
|
|
for (const metadata of this.type.inputs) {
|
|
if (index < node.inputs.length || metadata.optional !== true) {
|
|
const count = metadata.list ? (node.inputs.length - index) : 1;
|
|
const inputs = node.inputs.slice(index, index + count);
|
|
const argument = new uff.Argument(metadata.name, inputs.map((name) => values.map(name)));
|
|
this.inputs.push(argument);
|
|
index += count;
|
|
}
|
|
}
|
|
}
|
|
this.inputs.push(...node.inputs.slice(index).map((identifier, i) => {
|
|
const name = ((index + i) === 0) ? 'input' : (index + i).toString();
|
|
return new uff.Argument(name, [values.map(identifier)]);
|
|
}));
|
|
}
|
|
this.outputs.push(new uff.Argument('output', [values.map(node.id)]));
|
|
for (const field of node.fields) {
|
|
let type = null;
|
|
let value = null;
|
|
switch (field.value.type) {
|
|
case 's': value = field.value.s; type = 'string'; break;
|
|
case 's_list': value = field.value.s_list; type = 'string[]'; break;
|
|
case 'd': value = field.value.d; type = 'float64'; break;
|
|
case 'd_list': value = field.value.d_list.val; type = 'float64[]'; break;
|
|
case 'b': value = field.value.b; type = 'boolean'; break;
|
|
case 'b_list': value = field.value.b_list; type = 'boolean[]'; break;
|
|
case 'i': value = field.value.i; type = 'int64'; break;
|
|
case 'i_list': value = field.value.i_list.val; type = 'int64[]'; break;
|
|
case 'blob': value = field.value.blob; break;
|
|
case 'ref': value = field.value.ref; type = 'ref'; break;
|
|
case 'dtype': value = new uff.TensorType(field.value.dtype, null).dataType; type = 'uff.DataType'; break;
|
|
case 'dtype_list': value = field.value.dtype_list.map((type) => new uff.TensorType(type, null).dataType); type = 'uff.DataType[]'; break;
|
|
case 'dim_orders': value = field.value.dim_orders; break;
|
|
case 'dim_orders_list': value = field.value.dim_orders_list.val; break;
|
|
default: throw new uff.Error(`Unsupported attribute '${field.key}' value '${JSON.stringify(value)}'.`);
|
|
}
|
|
const attribute = new uff.Argument(field.key, value, type);
|
|
this.attributes.push(attribute);
|
|
}
|
|
}
|
|
};
|
|
|
|
uff.Tensor = class {
|
|
|
|
constructor(dataType, shape, values) {
|
|
this.type = new uff.TensorType(dataType, shape);
|
|
switch (values.type) {
|
|
case 'blob': this.values = values.blob; break;
|
|
default: throw new uff.Error(`Unsupported values format '${JSON.stringify(values.type)}'.`);
|
|
}
|
|
if (this.values.length > 8 &&
|
|
this.values[0] === 0x28 && this.values[1] === 0x2e && this.values[2] === 0x2e && this.values[3] === 0x2e &&
|
|
this.values[this.values.length - 1] === 0x29 && this.values[this.values.length - 2] === 0x2e && this.values[this.values.length - 3] === 0x2e && this.values[this.values.length - 4] === 0x2e) {
|
|
this.values = null;
|
|
}
|
|
}
|
|
};
|
|
|
|
uff.TensorType = class {
|
|
|
|
constructor(dataType, shape) {
|
|
switch (dataType) {
|
|
case uff.proto.DataType.DT_INT8: this.dataType = 'int8'; break;
|
|
case uff.proto.DataType.DT_INT16: this.dataType = 'int16'; break;
|
|
case uff.proto.DataType.DT_INT32: this.dataType = 'int32'; break;
|
|
case uff.proto.DataType.DT_INT64: this.dataType = 'int64'; break;
|
|
case uff.proto.DataType.DT_FLOAT16: this.dataType = 'float16'; break;
|
|
case uff.proto.DataType.DT_FLOAT32: this.dataType = 'float32'; break;
|
|
case 7: this.dataType = '?'; break;
|
|
default: throw new uff.Error(`Unsupported data type '${JSON.stringify(dataType)}'.`);
|
|
}
|
|
this.shape = shape ? new uff.TensorShape(shape) : null;
|
|
}
|
|
|
|
toString() {
|
|
return this.dataType + this.shape.toString();
|
|
}
|
|
};
|
|
|
|
uff.TensorShape = class {
|
|
|
|
constructor(shape) {
|
|
if (shape.type !== 'i_list') {
|
|
throw new uff.Error(`Unsupported shape format '${JSON.stringify(shape.type)}'.`);
|
|
}
|
|
const dimensions = shape.i_list.val;
|
|
this.dimensions = dimensions.map((dim) => typeof dim === 'bigint' ? dim.toNumber() : dim);
|
|
}
|
|
|
|
toString() {
|
|
if (Array.isArray(this.dimensions) && this.dimensions.length > 0) {
|
|
return `[${this.dimensions.join(',')}]`;
|
|
}
|
|
return '';
|
|
}
|
|
};
|
|
|
|
uff.Error = class extends Error {
|
|
|
|
constructor(message) {
|
|
super(message);
|
|
this.name = 'Error loading UFF model.';
|
|
}
|
|
};
|
|
|
|
export const ModelFactory = uff.ModelFactory;
|
|
|