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openai_whisper-tiny/MelSpectrogram.mlmodelc/metadata.json

@@ -19,27 +19,24 @@
     ],
     "specificationVersion" : 7,
     "mlProgramOperationTypeHistogram" : {
-      "Ios16.reshape" : 2,
+      "Pad" : 1,
       "Ios16.mul" : 2,
       "SliceByIndex" : 1,
       "Ios16.sub" : 1,
       "Ios16.log" : 1,
-      "Ios16.square" : 2,
+      "Ios16.conv" : 2,
       "Ios16.add" : 3,
-      "Squeeze" : 2,
+      "Ios16.square" : 2,
       "Ios16.matmul" : 1,
-      "Ios16.conv" : 2,
+      "Squeeze" : 2,
       "Ios16.maximum" : 1,
       "ExpandDims" : 4,
       "Ios16.reduceMax" : 1,
       "Identity" : 1,
-      "Pad" : 1
+      "Ios16.reshape" : 2
     },
     "computePrecision" : "Mixed (Float16, Int32)",
     "isUpdatable" : "0",
-    "stateSchema" : [
-
-    ],
     "availability" : {
       "macOS" : "13.0",
       "tvOS" : "16.0",
@@ -53,8 +50,8 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.source_dialect" : "TorchScript",
-      "com.github.apple.coremltools.source" : "torch==2.6.0",
-      "com.github.apple.coremltools.version" : "8.2"
+      "com.github.apple.coremltools.version" : "7.1",
+      "com.github.apple.coremltools.source" : "torch==2.2.1"
     },
     "inputSchema" : [
       {

openai_whisper-tiny/MelSpectrogram.mlmodelc/model.mil

@@ -1,13 +1,13 @@
 program(1.0)
-[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3402.3.2"}, {"coremlc-version", "3402.4.1"}, {"coremltools-component-torch", "2.6.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.2"}})]
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.2.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.1"}})]
 {
     func main<ios16>(tensor<fp16, [480000]> audio) {
             tensor<int32, [3]> var_10 = const()[name = tensor<string, []>("op_10"), val = tensor<int32, [3]>([1, 1, 480000])];
             tensor<fp16, [1, 1, 480000]> input_1_cast_fp16 = reshape(shape = var_10, x = audio)[name = tensor<string, []>("input_1_cast_fp16")];
             tensor<int32, [6]> input_3_pad_0 = const()[name = tensor<string, []>("input_3_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 200, 200])];
             tensor<string, []> input_3_mode_0 = const()[name = tensor<string, []>("input_3_mode_0"), val = tensor<string, []>("reflect")];
-            tensor<fp16, []> const_1_to_fp16 = const()[name = tensor<string, []>("const_1_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
-            tensor<fp16, [1, 1, 480400]> input_3_cast_fp16 = pad(constant_val = const_1_to_fp16, mode = input_3_mode_0, pad = input_3_pad_0, x = input_1_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
+            tensor<fp16, []> input_3_constant_val_0_to_fp16 = const()[name = tensor<string, []>("input_3_constant_val_0_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
+            tensor<fp16, [1, 1, 480400]> input_3_cast_fp16 = pad(constant_val = input_3_constant_val_0_to_fp16, mode = input_3_mode_0, pad = input_3_pad_0, x = input_1_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
             tensor<int32, [1]> var_22 = const()[name = tensor<string, []>("op_22"), val = tensor<int32, [1]>([480400])];
             tensor<fp16, [480400]> input_cast_fp16 = reshape(shape = var_22, x = input_3_cast_fp16)[name = tensor<string, []>("input_cast_fp16")];
             tensor<int32, [1]> expand_dims_0_axes_0 = const()[name = tensor<string, []>("expand_dims_0_axes_0"), val = tensor<int32, [1]>([0])];