Add DTTNet_Bass.mlmodelc

v1.0.0/DTTNet_Bass.mlmodelc/analytics/coremldata.bin

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v1.0.0/DTTNet_Bass.mlmodelc/coremldata.bin

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+oid sha256:1d80f9ce9064563779d692b28d0d84ccd3c69120f374cd28386278a744242678
+size 325

v1.0.0/DTTNet_Bass.mlmodelc/metadata.json

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+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float32",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 4 × 864 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 4, 864, 256]",
+        "name" : "separated",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 8,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios17.mul" : 10,
+      "Ios17.sqrt" : 8,
+      "Ios17.linear" : 18,
+      "Ios17.transpose" : 59,
+      "Ios17.sub" : 8,
+      "Ios17.square" : 8,
+      "Ios17.conv" : 39,
+      "Ios17.concat" : 8,
+      "Ios17.add" : 34,
+      "Ios17.realDiv" : 8,
+      "Ios16.reduceMean" : 16,
+      "Ios16.relu" : 50,
+      "Ios17.batchNorm" : 10,
+      "Ios17.lstm" : 16,
+      "Ios17.convTranspose" : 2,
+      "Ios17.reverse" : 16,
+      "Ios17.reshape" : 34
+    },
+    "computePrecision" : "Mixed (Float32, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "14.0",
+      "tvOS" : "17.0",
+      "visionOS" : "1.0",
+      "watchOS" : "10.0",
+      "iOS" : "17.0",
+      "macCatalyst" : "17.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.source_dialect" : "TorchScript",
+      "com.github.apple.coremltools.source" : "torch==2.10.0",
+      "com.github.apple.coremltools.version" : "8.1"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 4 × 864 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 4, 864, 256]",
+        "name" : "spectrogram",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "DTTNet_Bass",
+    "method" : "predict"
+  }
+]

v1.0.0/DTTNet_Bass.mlmodelc/weights/weight.bin

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+size 16934656