openai_whisper-tiny.en/TextDecoder.mlmodelc/metadata.json
| 1 | [ |
| 2 | { |
| 3 | "metadataOutputVersion" : "3.0", |
| 4 | "storagePrecision" : "Float16", |
| 5 | "outputSchema" : [ |
| 6 | { |
| 7 | "hasShapeFlexibility" : "0", |
| 8 | "isOptional" : "0", |
| 9 | "dataType" : "Float16", |
| 10 | "formattedType" : "MultiArray (Float16 1 × 1 × 51864)", |
| 11 | "shortDescription" : "", |
| 12 | "shape" : "[1, 1, 51864]", |
| 13 | "name" : "logits", |
| 14 | "type" : "MultiArray" |
| 15 | }, |
| 16 | { |
| 17 | "hasShapeFlexibility" : "0", |
| 18 | "isOptional" : "0", |
| 19 | "dataType" : "Float16", |
| 20 | "formattedType" : "MultiArray (Float16 1 × 1536 × 1 × 1)", |
| 21 | "shortDescription" : "", |
| 22 | "shape" : "[1, 1536, 1, 1]", |
| 23 | "name" : "key_cache_updates", |
| 24 | "type" : "MultiArray" |
| 25 | }, |
| 26 | { |
| 27 | "hasShapeFlexibility" : "0", |
| 28 | "isOptional" : "0", |
| 29 | "dataType" : "Float16", |
| 30 | "formattedType" : "MultiArray (Float16 1 × 1536 × 1 × 1)", |
| 31 | "shortDescription" : "", |
| 32 | "shape" : "[1, 1536, 1, 1]", |
| 33 | "name" : "value_cache_updates", |
| 34 | "type" : "MultiArray" |
| 35 | }, |
| 36 | { |
| 37 | "hasShapeFlexibility" : "0", |
| 38 | "isOptional" : "0", |
| 39 | "dataType" : "Float16", |
| 40 | "formattedType" : "MultiArray (Float16 1 × 1500)", |
| 41 | "shortDescription" : "", |
| 42 | "shape" : "[1, 1500]", |
| 43 | "name" : "alignment_heads_weights", |
| 44 | "type" : "MultiArray" |
| 45 | } |
| 46 | ], |
| 47 | "modelParameters" : [ |
| 48 | |
| 49 | ], |
| 50 | "specificationVersion" : 7, |
| 51 | "mlProgramOperationTypeHistogram" : { |
| 52 | "Split" : 2, |
| 53 | "Concat" : 3, |
| 54 | "Squeeze" : 1, |
| 55 | "Ios16.mul" : 24, |
| 56 | "Ios16.layerNorm" : 13, |
| 57 | "SliceByIndex" : 16, |
| 58 | "Ios16.sub" : 1, |
| 59 | "Transpose" : 1, |
| 60 | "Ios16.conv" : 40, |
| 61 | "Ios16.add" : 25, |
| 62 | "Ios16.linear" : 1, |
| 63 | "Ios16.matmul" : 16, |
| 64 | "Ios16.gelu" : 4, |
| 65 | "Ios16.reduceMean" : 1, |
| 66 | "ExpandDims" : 6, |
| 67 | "Ios16.batchNorm" : 13, |
| 68 | "Ios16.gather" : 2, |
| 69 | "Ios16.reshape" : 32, |
| 70 | "Ios16.softmax" : 8 |
| 71 | }, |
| 72 | "computePrecision" : "Mixed (Float16, Int32)", |
| 73 | "isUpdatable" : "0", |
| 74 | "availability" : { |
| 75 | "macOS" : "13.0", |
| 76 | "tvOS" : "16.0", |
| 77 | "visionOS" : "1.0", |
| 78 | "watchOS" : "9.0", |
| 79 | "iOS" : "16.0", |
| 80 | "macCatalyst" : "16.0" |
| 81 | }, |
| 82 | "modelType" : { |
| 83 | "name" : "MLModelType_mlProgram" |
| 84 | }, |
| 85 | "userDefinedMetadata" : { |
| 86 | "com.github.apple.coremltools.source_dialect" : "TorchScript", |
| 87 | "com.github.apple.coremltools.source" : "torch==2.4.1", |
| 88 | "com.github.apple.coremltools.version" : "8.0" |
| 89 | }, |
| 90 | "inputSchema" : [ |
| 91 | { |
| 92 | "hasShapeFlexibility" : "0", |
| 93 | "isOptional" : "0", |
| 94 | "dataType" : "Int32", |
| 95 | "formattedType" : "MultiArray (Int32 1)", |
| 96 | "shortDescription" : "", |
| 97 | "shape" : "[1]", |
| 98 | "name" : "input_ids", |
| 99 | "type" : "MultiArray" |
| 100 | }, |
| 101 | { |
| 102 | "hasShapeFlexibility" : "0", |
| 103 | "isOptional" : "0", |
| 104 | "dataType" : "Int32", |
| 105 | "formattedType" : "MultiArray (Int32 1)", |
| 106 | "shortDescription" : "", |
| 107 | "shape" : "[1]", |
| 108 | "name" : "cache_length", |
| 109 | "type" : "MultiArray" |
| 110 | }, |
| 111 | { |
| 112 | "hasShapeFlexibility" : "0", |
| 113 | "isOptional" : "0", |
| 114 | "dataType" : "Float16", |
| 115 | "formattedType" : "MultiArray (Float16 1 × 1536 × 1 × 448)", |
| 116 | "shortDescription" : "", |
| 117 | "shape" : "[1, 1536, 1, 448]", |
| 118 | "name" : "key_cache", |
| 119 | "type" : "MultiArray" |
| 120 | }, |
| 121 | { |
| 122 | "hasShapeFlexibility" : "0", |
| 123 | "isOptional" : "0", |
| 124 | "dataType" : "Float16", |
| 125 | "formattedType" : "MultiArray (Float16 1 × 1536 × 1 × 448)", |
| 126 | "shortDescription" : "", |
| 127 | "shape" : "[1, 1536, 1, 448]", |
| 128 | "name" : "value_cache", |
| 129 | "type" : "MultiArray" |
| 130 | }, |
| 131 | { |
| 132 | "hasShapeFlexibility" : "0", |
| 133 | "isOptional" : "0", |
| 134 | "dataType" : "Float16", |
| 135 | "formattedType" : "MultiArray (Float16 1 × 448)", |
| 136 | "shortDescription" : "", |
| 137 | "shape" : "[1, 448]", |
| 138 | "name" : "kv_cache_update_mask", |
| 139 | "type" : "MultiArray" |
| 140 | }, |
| 141 | { |
| 142 | "hasShapeFlexibility" : "0", |
| 143 | "isOptional" : "0", |
| 144 | "dataType" : "Float16", |
| 145 | "formattedType" : "MultiArray (Float16 1 × 384 × 1 × 1500)", |
| 146 | "shortDescription" : "", |
| 147 | "shape" : "[1, 384, 1, 1500]", |
| 148 | "name" : "encoder_output_embeds", |
| 149 | "type" : "MultiArray" |
| 150 | }, |
| 151 | { |
| 152 | "hasShapeFlexibility" : "0", |
| 153 | "isOptional" : "0", |
| 154 | "dataType" : "Float16", |
| 155 | "formattedType" : "MultiArray (Float16 1 × 448)", |
| 156 | "shortDescription" : "", |
| 157 | "shape" : "[1, 448]", |
| 158 | "name" : "decoder_key_padding_mask", |
| 159 | "type" : "MultiArray" |
| 160 | } |
| 161 | ], |
| 162 | "generatedClassName" : "TextDecoder", |
| 163 | "method" : "predict" |
| 164 | } |
| 165 | ] |