@tensorflow/tfjs-converter/dist/operations/op_list/transformation.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': 'Cast',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            }
        ],
        'attrs': [
            {
                'tfName': 'SrcT',
                'name': 'sdtype',
                'type': 'dtype',
                'notSupported': true
            },
            {
                'tfName': 'DstT',
                'name': 'dtype',
                'type': 'dtype'
            }
        ]
    },
    {
        'tfOpName': 'ExpandDims',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'axis',
                'type': 'number'
            }
        ]
    },
    {
        'tfOpName': 'MirrorPad',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'padding',
                'type': 'number[]'
            }
        ],
        'attrs': [
            {
                'tfName': 'mode',
                'name': 'mode',
                'type': 'string'
            }
        ]
    },
    {
        'tfOpName': 'Pad',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'padding',
                'type': 'number[]'
            }
        ],
        'attrs': [
            {
                'tfName': 'constant_value',
                'name': 'constantValue',
                'type': 'number',
                'defaultValue': 0
            }
        ]
    },
    {
        'tfOpName': 'PadV2',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'padding',
                'type': 'number[]'
            },
            {
                'start': 2,
                'name': 'constantValue',
                'type': 'number',
                'defaultValue': 0
            }
        ]
    },
    {
        'tfOpName': 'Reshape',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'shape',
                'type': 'number[]'
            }
        ]
    },
    {
        'tfOpName': 'EnsureShape',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'shape',
                'type': 'number[]'
            }
        ]
    },
    {
        'tfOpName': 'Squeeze',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            }
        ],
        'attrs': [
            {
                'tfName': 'axis',
                'tfDeprecatedName': 'squeeze_dims',
                'name': 'axis',
                'type': 'number[]'
            }
        ]
    },
    {
        'tfOpName': 'SpaceToBatchND',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'blockShape',
                'type': 'number[]'
            },
            {
                'start': 2,
                'name': 'paddings',
                'type': 'number[]'
            }
        ]
    },
    {
        'tfOpName': 'BatchToSpaceND',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'blockShape',
                'type': 'number[]'
            },
            {
                'start': 2,
                'name': 'crops',
                'type': 'number[]'
            }
        ]
    },
    {
        'tfOpName': 'DepthToSpace',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            }
        ],
        'attrs': [
            {
                'tfName': 'block_size',
                'name': 'blockSize',
                'type': 'number'
            },
            {
                'tfName': 'data_format',
                'name': 'dataFormat',
                'type': 'string'
            }
        ]
    },
    {
        'tfOpName': 'BroadcastTo',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 'x',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 'shape',
                'type': 'number[]'
            }
        ],
        'attrs': []
    },
    {
        'tfOpName': 'BroadcastArgs',
        'category': 'transformation',
        'inputs': [
            {
                'start': 0,
                'name': 's0',
                'type': 'tensor'
            },
            {
                'start': 1,
                'name': 's1',
                'type': 'tensor'
            }
        ],
        'attrs': []
    }
];
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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': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {\n        'tfName': 'DstT',\n        'name': 'dtype',\n        'type': 'dtype'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'axis',\n        'type': 'number'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'MirrorPad',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'padding',\n        'type': 'number[]'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'mode',\n        'name': 'mode',\n        'type': 'string'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'padding',\n        'type': 'number[]'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'constant_value',\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'padding',\n        'type': 'number[]'\n      },\n      {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'shape',\n        'type': 'number[]'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'EnsureShape',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'shape',\n        'type': 'number[]'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'tfDeprecatedName': 'squeeze_dims',\n        'name': 'axis',\n        'type': 'number[]'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'blockShape',\n        'type': 'number[]'\n      },\n      {\n        'start': 2,\n        'name': 'paddings',\n        'type': 'number[]'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'blockShape',\n        'type': 'number[]'\n      },\n      {\n        'start': 2,\n        'name': 'crops',\n        'type': 'number[]'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': [\n      {\n        'tfName': 'block_size',\n        'name': 'blockSize',\n        'type': 'number'\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string'\n      }\n    ]\n  },\n  {\n    'tfOpName': 'BroadcastTo',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 'x',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 'shape',\n        'type': 'number[]'\n      }\n    ],\n    'attrs': []\n  },\n  {\n    'tfOpName': 'BroadcastArgs',\n    'category': 'transformation',\n    'inputs': [\n      {\n        'start': 0,\n        'name': 's0',\n        'type': 'tensor'\n      },\n      {\n        'start': 1,\n        'name': 's1',\n        'type': 'tensor'\n      }\n    ],\n    'attrs': []\n  }\n]\n;\n"]}