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| /**
| * @license
| * Copyright 2022 Google LLC. All Rights Reserved.
| * Licensed under the Apache License, Version 2.0 (the "License");
| * you may not use this file except in compliance with the License.
| * You may obtain a copy of the License at
| *
| * http://www.apache.org/licenses/LICENSE-2.0
| *
| * Unless required by applicable law or agreed to in writing, software
| * distributed under the License is distributed on an "AS IS" BASIS,
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
| * See the License for the specific language governing permissions and
| * limitations under the License.
| * =============================================================================
| */
| export const STRUCTURED_OUTPUTS_MODEL = {
| 'modelTopology': {
| 'node': [
| {
| 'name': 'StatefulPartitionedCall/model/concatenate/concat/axis',
| 'op': 'Const',
| 'attr': {
| 'value': { 'tensor': { 'dtype': 'DT_INT32', 'tensorShape': {} } },
| 'dtype': { 'type': 'DT_INT32' }
| }
| },
| {
| 'name': 'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp',
| 'op': 'Const',
| 'attr': {
| 'dtype': { 'type': 'DT_FLOAT' },
| 'value': {
| 'tensor': {
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '2' }, { 'size': '1' }] }
| }
| }
| }
| },
| {
| 'name': 'StatefulPartitionedCall/model/b/MatMul/ReadVariableOp',
| 'op': 'Const',
| 'attr': {
| 'value': {
| 'tensor': {
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '1' }, { 'size': '1' }] }
| }
| },
| 'dtype': { 'type': 'DT_FLOAT' }
| }
| },
| {
| 'name': 'input1',
| 'op': 'Placeholder',
| 'attr': {
| 'dtype': { 'type': 'DT_FLOAT' },
| 'shape': { 'shape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] } }
| }
| },
| {
| 'name': 'input2',
| 'op': 'Placeholder',
| 'attr': {
| 'dtype': { 'type': 'DT_FLOAT' },
| 'shape': { 'shape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] } }
| }
| },
| {
| 'name': 'input3',
| 'op': 'Placeholder',
| 'attr': {
| 'shape': { 'shape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] } },
| 'dtype': { 'type': 'DT_FLOAT' }
| }
| },
| {
| 'name': 'StatefulPartitionedCall/model/b/MatMul',
| 'op': 'MatMul',
| 'input': ['input2', 'StatefulPartitionedCall/model/b/MatMul/ReadVariableOp'],
| 'device': '/device:CPU:0',
| 'attr': {
| 'transpose_b': { 'b': false },
| 'transpose_a': { 'b': false },
| 'T': { 'type': 'DT_FLOAT' }
| }
| },
| {
| 'name': 'StatefulPartitionedCall/model/concatenate/concat',
| 'op': 'ConcatV2',
| 'input': [
| 'input1', 'input3',
| 'StatefulPartitionedCall/model/concatenate/concat/axis'
| ],
| 'attr': {
| 'Tidx': { 'type': 'DT_INT32' },
| 'T': { 'type': 'DT_FLOAT' },
| 'N': { 'i': '2' }
| }
| },
| {
| 'name': 'Identity_1',
| 'op': 'Identity',
| 'input': ['StatefulPartitionedCall/model/b/MatMul'],
| 'attr': { 'T': { 'type': 'DT_FLOAT' } }
| },
| {
| 'name': 'StatefulPartitionedCall/model/a/MatMul',
| 'op': 'MatMul',
| 'input': [
| 'StatefulPartitionedCall/model/concatenate/concat',
| 'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp'
| ],
| 'device': '/device:CPU:0',
| 'attr': {
| 'T': { 'type': 'DT_FLOAT' },
| 'transpose_b': { 'b': false },
| 'transpose_a': { 'b': false }
| }
| },
| {
| 'name': 'Identity',
| 'op': 'Identity',
| 'input': ['StatefulPartitionedCall/model/a/MatMul'],
| 'attr': { 'T': { 'type': 'DT_FLOAT' } }
| },
| {
| 'name': 'StatefulPartitionedCall/model/c/mul',
| 'op': 'Mul',
| 'input': [
| 'StatefulPartitionedCall/model/a/MatMul',
| 'StatefulPartitionedCall/model/b/MatMul'
| ],
| 'attr': { 'T': { 'type': 'DT_FLOAT' } }
| },
| {
| 'name': 'Identity_2',
| 'op': 'Identity',
| 'input': ['StatefulPartitionedCall/model/c/mul'],
| 'attr': { 'T': { 'type': 'DT_FLOAT' } }
| }
| ],
| 'library': {},
| 'versions': { 'producer': 898 }
| },
| 'format': 'graph-model',
| 'generatedBy': '2.7.3',
| 'convertedBy': 'TensorFlow.js Converter v1.7.0',
| 'weightSpecs': [
| {
| 'name': 'StatefulPartitionedCall/model/concatenate/concat/axis',
| 'shape': [],
| 'dtype': 'int32'
| },
| {
| 'name': 'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp',
| 'shape': [2, 1],
| 'dtype': 'float32'
| },
| {
| 'name': 'StatefulPartitionedCall/model/b/MatMul/ReadVariableOp',
| 'shape': [1, 1],
| 'dtype': 'float32'
| }
| ],
| 'weightData': new Uint8Array([
| 0x01, 0x00, 0x00, 0x00, 0x70, 0x3d, 0x72, 0x3e, 0x3d, 0xd2,
| 0x12, 0xbf, 0x0c, 0xfb, 0x94, 0x3e
| ]).buffer,
| 'signature': {
| 'inputs': {
| 'input1:0': {
| 'name': 'input1:0',
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
| },
| 'input3:0': {
| 'name': 'input3:0',
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
| },
| 'input2:0': {
| 'name': 'input2:0',
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
| }
| },
| 'outputs': {
| 'Identity_1:0': {
| 'name': 'Identity_1:0',
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
| },
| 'Identity:0': {
| 'name': 'Identity:0',
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
| },
| 'Identity_2:0': {
| 'name': 'Identity_2:0',
| 'dtype': 'DT_FLOAT',
| 'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
| }
| }
| },
| 'userDefinedMetadata': { 'structuredOutputKeys': ['a', 'b', 'c'] }
| };
| //# 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* @license\n * Copyright 2022 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const STRUCTURED_OUTPUTS_MODEL = {\n  'modelTopology': {\n    'node': [\n      {\n        'name': 'StatefulPartitionedCall/model/concatenate/concat/axis',\n        'op': 'Const',\n        'attr': {\n          'value': {'tensor': {'dtype': 'DT_INT32', 'tensorShape': {}}},\n          'dtype': {'type': 'DT_INT32'}\n        }\n      },\n      {\n        'name': 'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp',\n        'op': 'Const',\n        'attr': {\n          'dtype': {'type': 'DT_FLOAT'},\n          'value': {\n            'tensor': {\n              'dtype': 'DT_FLOAT',\n              'tensorShape': {'dim': [{'size': '2'}, {'size': '1'}]}\n            }\n          }\n        }\n      },\n      {\n        'name': 'StatefulPartitionedCall/model/b/MatMul/ReadVariableOp',\n        'op': 'Const',\n        'attr': {\n          'value': {\n            'tensor': {\n              'dtype': 'DT_FLOAT',\n              'tensorShape': {'dim': [{'size': '1'}, {'size': '1'}]}\n            }\n          },\n          'dtype': {'type': 'DT_FLOAT'}\n        }\n      },\n      {\n        'name': 'input1',\n        'op': 'Placeholder',\n        'attr': {\n          'dtype': {'type': 'DT_FLOAT'},\n          'shape': {'shape': {'dim': [{'size': '-1'}, {'size': '1'}]}}\n        }\n      },\n      {\n        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