@tensorflow/tfjs-converter/dist/operations/op_list/matrices.js

Tensorflow model converter for javascript

/**
 * @license
 * Copyright 2023 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 json = [
    {
        'tfOpName': '_FusedMatMul',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'name': 'a',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'b',
                'type': 'tensor'
            },
            {
                'start': 2,
                'end': 0,
                'name': 'args',
                'type': 'tensors'
            }
        ],
        'attrs': [
            {
                'tfName': 'num_args',
                'name': 'numArgs',
                'type': 'number'
            },
            {
                'tfName': 'fused_ops',
                'name': 'fusedOps',
                'type': 'string[]',
                'defaultValue': []
            },
            {
                'tfName': 'epsilon',
                'name': 'epsilon',
                'type': 'number',
                'defaultValue': 0.0001
            },
            {
                'tfName': 'transpose_a',
                'name': 'transposeA',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'transpose_b',
                'name': 'transposeB',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'leakyrelu_alpha',
                'name': 'leakyreluAlpha',
                'type': 'number',
                'defaultValue': 0.2
            },
            {
                'tfName': 'T',
                'name': 'dtype',
                'type': 'dtype',
                'notSupported': true
            }
        ]
    },
    {
        'tfOpName': 'MatMul',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'name': 'a',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'b',
                'type': 'tensor'
            }
        ],
        'attrs': [
            {
                'tfName': 'transpose_a',
                'name': 'transposeA',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'transpose_b',
                'name': 'transposeB',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'T',
                'name': 'dtype',
                'type': 'dtype',
                'notSupported': true
            }
        ]
    },
    {
        'tfOpName': 'BatchMatMul',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'name': 'a',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'b',
                'type': 'tensor'
            }
        ],
        'attrs': [
            {
                'tfName': 'adj_x',
                'name': 'transposeA',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'adj_y',
                'name': 'transposeB',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'T',
                'name': 'dtype',
                'type': 'dtype',
                'notSupported': true
            }
        ]
    },
    {
        'tfOpName': 'BatchMatMulV2',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'name': 'a',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'b',
                'type': 'tensor'
            }
        ],
        'attrs': [
            {
                'tfName': 'adj_x',
                'name': 'transposeA',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'adj_y',
                'name': 'transposeB',
                'type': 'bool',
                'defaultValue': false
            },
            {
                'tfName': 'T',
                'name': 'dtype',
                'type': 'dtype',
                'notSupported': true
            }
        ]
    },
    {
        'tfOpName': 'Transpose',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'perm',
                'type': 'number[]'
            }
        ],
        'attrs': [
            {
                'tfName': 'T',
                'name': 'dtype',
                'type': 'dtype',
                'notSupported': true
            }
        ]
    },
    {
        'tfOpName': 'Einsum',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'end': 0,
                'name': 'tensors',
                'type': 'tensors'
            }
        ],
        'attrs': [
            {
                'tfName': 'equation',
                'name': 'equation',
                'type': 'string'
            },
            {
                'tfName': 'N',
                'name': 'n',
                'type': 'number',
                'defaultValue': 2
            },
            {
                'tfName': 'T',
                'name': 'dtype',
                'type': 'dtype'
            }
        ]
    },
    {
        'tfOpName': 'MatrixBandPart',
        'category': 'matrices',
        'inputs': [
            {
                'start': 0,
                'name': 'a',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'numLower',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'numUpper',
                'type': 'tensor'
            }
        ]
    }
];
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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\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'a',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'b',\n        'type': 'tensor'\n      },\n      {\n        'start': 2,\n        'end': 0,\n        'name': 'args',\n        'type': 'tensors'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'num_args',\n        'name': 'numArgs',\n        'type': 'number'\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'leakyrelu_alpha',\n        'name': 'leakyreluAlpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'a',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'b',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'a',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'b',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'a',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'b',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'perm',\n        'type': 'number[]'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Einsum',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'end': 0,\n        'name': 'tensors',\n        'type': 'tensors'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'equation',\n        'name': 'equation',\n        'type': 'string'\n      },\n      {\n        'tfName': 'N',\n        'name': 'n',\n        'type': 'number',\n        'defaultValue': 2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'MatrixBandPart',\n    'category': 'matrices',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'a',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'numLower',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'numUpper',\n        'type': 'tensor'\n      }\n    ]\n  }\n]\n;\n"]}