@tensorflow/tfjs-converter
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Tensorflow model converter for javascript
209 lines • 22.9 kB
JavaScript
/**
* @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 }
},
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'generatedBy': '2.7.3',
'convertedBy': 'TensorFlow.js Converter v1.7.0',
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{
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'shape': [],
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},
{
'name': 'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp',
'shape': [2, 1],
'dtype': 'float32'
},
{
'name': 'StatefulPartitionedCall/model/b/MatMul/ReadVariableOp',
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'signature': {
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},
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},
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'name': 'input2:0',
'dtype': 'DT_FLOAT',
'tensorShape': { 'dim': [{ 'size': '-1' }, { 'size': '1' }] }
}
},
'outputs': {
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},
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'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        'name': 'input2',\n        'op': 'Placeholder',\n        'attr': {\n          'dtype': {'type': 'DT_FLOAT'},\n          'shape': {'shape': {'dim': [{'size': '-1'}, {'size': '1'}]}}\n        }\n      },\n      {\n        'name': 'input3',\n        'op': 'Placeholder',\n        'attr': {\n          'shape': {'shape': {'dim': [{'size': '-1'}, {'size': '1'}]}},\n          'dtype': {'type': 'DT_FLOAT'}\n        }\n      },\n      {\n        'name': 'StatefulPartitionedCall/model/b/MatMul',\n        'op': 'MatMul',\n        'input':\n            ['input2', 'StatefulPartitionedCall/model/b/MatMul/ReadVariableOp'],\n        'device': '/device:CPU:0',\n        'attr': {\n          'transpose_b': {'b': false},\n          'transpose_a': {'b': false},\n          'T': {'type': 'DT_FLOAT'}\n        }\n      },\n      {\n        'name': 'StatefulPartitionedCall/model/concatenate/concat',\n        'op': 'ConcatV2',\n        'input': [\n          'input1', 'input3',\n          'StatefulPartitionedCall/model/concatenate/concat/axis'\n        ],\n        'attr': {\n          'Tidx': {'type': 'DT_INT32'},\n          'T': {'type': 'DT_FLOAT'},\n          'N': {'i': '2'}\n        }\n      },\n      {\n        'name': 'Identity_1',\n        'op': 'Identity',\n        'input': ['StatefulPartitionedCall/model/b/MatMul'],\n        'attr': {'T': {'type': 'DT_FLOAT'}}\n      },\n      {\n        'name': 'StatefulPartitionedCall/model/a/MatMul',\n        'op': 'MatMul',\n        'input': [\n          'StatefulPartitionedCall/model/concatenate/concat',\n          'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp'\n        ],\n        'device': '/device:CPU:0',\n        'attr': {\n          'T': {'type': 'DT_FLOAT'},\n          'transpose_b': {'b': false},\n          'transpose_a': {'b': false}\n        }\n      },\n      {\n        'name': 'Identity',\n        'op': 'Identity',\n        'input': ['StatefulPartitionedCall/model/a/MatMul'],\n        'attr': {'T': {'type': 'DT_FLOAT'}}\n      },\n      {\n        'name': 'StatefulPartitionedCall/model/c/mul',\n        'op': 'Mul',\n        'input': [\n          'StatefulPartitionedCall/model/a/MatMul',\n          'StatefulPartitionedCall/model/b/MatMul'\n        ],\n        'attr': {'T': {'type': 'DT_FLOAT'}}\n      },\n      {\n        'name': 'Identity_2',\n        'op': 'Identity',\n        'input': ['StatefulPartitionedCall/model/c/mul'],\n        'attr': {'T': {'type': 'DT_FLOAT'}}\n      }\n    ],\n    'library': {},\n    'versions': {'producer': 898}\n  },\n  'format': 'graph-model',\n  'generatedBy': '2.7.3',\n  'convertedBy': 'TensorFlow.js Converter v1.7.0',\n  'weightSpecs': [\n    {\n      'name': 'StatefulPartitionedCall/model/concatenate/concat/axis',\n      'shape': [],\n      'dtype': 'int32'\n    },\n    {\n      'name': 'StatefulPartitionedCall/model/a/MatMul/ReadVariableOp',\n      'shape': [2, 1],\n      'dtype': 'float32'\n    },\n    {\n      'name': 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},\n      'Identity:0': {\n        'name': 'Identity:0',\n        'dtype': 'DT_FLOAT',\n        'tensorShape': {'dim': [{'size': '-1'}, {'size': '1'}]}\n      },\n      'Identity_2:0': {\n        'name': 'Identity_2:0',\n        'dtype': 'DT_FLOAT',\n        'tensorShape': {'dim': [{'size': '-1'}, {'size': '1'}]}\n      }\n    }\n  },\n  'userDefinedMetadata': {'structuredOutputKeys': ['a', 'b', 'c']}\n};\n"]}