whisperkittools-86c1a11b9398e0201bcfca4f9cdf2cb8adc41f73 generated files: openai_whisper-tiny.en

openai_whisper-tiny.en/AudioEncoder.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
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openai_whisper-tiny.en/AudioEncoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
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-oid sha256:9c5b0d993a6576aa1d414a952a9b2349230155df34b4b66bfae2f220d5a29d00
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+oid sha256:8cab3672b1631440fb8668cd06aff27b1571d578595f8e01470ed43feed1f733
+size 349

openai_whisper-tiny.en/AudioEncoder.mlmodelc/metadata.json

@@ -46,8 +46,8 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.source_dialect" : "TorchScript",
-      "com.github.apple.coremltools.source" : "torch==2.3.1",
-      "com.github.apple.coremltools.version" : "7.2"
+      "com.github.apple.coremltools.source" : "torch==2.4.1",
+      "com.github.apple.coremltools.version" : "8.0b2"
     },
     "inputSchema" : [
       {

openai_whisper-tiny.en/AudioEncoder.mlmodelc/model.mil

@@ -1,5 +1,5 @@
 program(1.0)
-[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3304.5.2"}, {"coremlc-version", "3304.6.2"}, {"coremltools-component-torch", "2.4.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.0b2"}})]
 {
     func main<ios16>(tensor<fp16, [1, 80, 1, 3000]> melspectrogram_features) {
             tensor<int32, [2]> var_34 = const()[name = tensor<string, []>("op_34"), val = tensor<int32, [2]>([1, 1])];
@@ -179,28 +179,28 @@ program(1.0)
             tensor<int32, [4]> var_379_begin_0 = const()[name = tensor<string, []>("op_379_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_379_end_0 = const()[name = tensor<string, []>("op_379_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 64])];
             tensor<bool, [4]> var_379_end_mask_0 = const()[name = tensor<string, []>("op_379_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 384]> transpose_3 = transpose(perm = k_1_perm_0, x = key_1_cast_fp16)[name = tensor<string, []>("transpose_3")];
-            tensor<fp16, [1, 1500, 1, 64]> var_379_cast_fp16 = slice_by_index(begin = var_379_begin_0, end = var_379_end_0, end_mask = var_379_end_mask_0, x = transpose_3)[name = tensor<string, []>("op_379_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 384]> k_1_cast_fp16 = transpose(perm = k_1_perm_0, x = key_1_cast_fp16)[name = tensor<string, []>("transpose_3")];
+            tensor<fp16, [1, 1500, 1, 64]> var_379_cast_fp16 = slice_by_index(begin = var_379_begin_0, end = var_379_end_0, end_mask = var_379_end_mask_0, x = k_1_cast_fp16)[name = tensor<string, []>("op_379_cast_fp16")];
             tensor<int32, [4]> var_383_begin_0 = const()[name = tensor<string, []>("op_383_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 64])];
             tensor<int32, [4]> var_383_end_0 = const()[name = tensor<string, []>("op_383_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 128])];
             tensor<bool, [4]> var_383_end_mask_0 = const()[name = tensor<string, []>("op_383_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_383_cast_fp16 = slice_by_index(begin = var_383_begin_0, end = var_383_end_0, end_mask = var_383_end_mask_0, x = transpose_3)[name = tensor<string, []>("op_383_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_383_cast_fp16 = slice_by_index(begin = var_383_begin_0, end = var_383_end_0, end_mask = var_383_end_mask_0, x = k_1_cast_fp16)[name = tensor<string, []>("op_383_cast_fp16")];
             tensor<int32, [4]> var_387_begin_0 = const()[name = tensor<string, []>("op_387_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 128])];
             tensor<int32, [4]> var_387_end_0 = const()[name = tensor<string, []>("op_387_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 192])];
             tensor<bool, [4]> var_387_end_mask_0 = const()[name = tensor<string, []>("op_387_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_387_cast_fp16 = slice_by_index(begin = var_387_begin_0, end = var_387_end_0, end_mask = var_387_end_mask_0, x = transpose_3)[name = tensor<string, []>("op_387_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_387_cast_fp16 = slice_by_index(begin = var_387_begin_0, end = var_387_end_0, end_mask = var_387_end_mask_0, x = k_1_cast_fp16)[name = tensor<string, []>("op_387_cast_fp16")];
             tensor<int32, [4]> var_391_begin_0 = const()[name = tensor<string, []>("op_391_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 192])];
             tensor<int32, [4]> var_391_end_0 = const()[name = tensor<string, []>("op_391_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 256])];
             tensor<bool, [4]> var_391_end_mask_0 = const()[name = tensor<string, []>("op_391_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_391_cast_fp16 = slice_by_index(begin = var_391_begin_0, end = var_391_end_0, end_mask = var_391_end_mask_0, x = transpose_3)[name = tensor<string, []>("op_391_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_391_cast_fp16 = slice_by_index(begin = var_391_begin_0, end = var_391_end_0, end_mask = var_391_end_mask_0, x = k_1_cast_fp16)[name = tensor<string, []>("op_391_cast_fp16")];
             tensor<int32, [4]> var_395_begin_0 = const()[name = tensor<string, []>("op_395_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 256])];
             tensor<int32, [4]> var_395_end_0 = const()[name = tensor<string, []>("op_395_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 320])];
             tensor<bool, [4]> var_395_end_mask_0 = const()[name = tensor<string, []>("op_395_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_395_cast_fp16 = slice_by_index(begin = var_395_begin_0, end = var_395_end_0, end_mask = var_395_end_mask_0, x = transpose_3)[name = tensor<string, []>("op_395_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_395_cast_fp16 = slice_by_index(begin = var_395_begin_0, end = var_395_end_0, end_mask = var_395_end_mask_0, x = k_1_cast_fp16)[name = tensor<string, []>("op_395_cast_fp16")];
             tensor<int32, [4]> var_399_begin_0 = const()[name = tensor<string, []>("op_399_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 320])];
             tensor<int32, [4]> var_399_end_0 = const()[name = tensor<string, []>("op_399_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 384])];
             tensor<bool, [4]> var_399_end_mask_0 = const()[name = tensor<string, []>("op_399_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_399_cast_fp16 = slice_by_index(begin = var_399_begin_0, end = var_399_end_0, end_mask = var_399_end_mask_0, x = transpose_3)[name = tensor<string, []>("op_399_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_399_cast_fp16 = slice_by_index(begin = var_399_begin_0, end = var_399_end_0, end_mask = var_399_end_mask_0, x = k_1_cast_fp16)[name = tensor<string, []>("op_399_cast_fp16")];
             tensor<int32, [4]> var_401_begin_0 = const()[name = tensor<string, []>("op_401_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_401_end_0 = const()[name = tensor<string, []>("op_401_end_0"), val = tensor<int32, [4]>([1, 64, 1, 1500])];
             tensor<bool, [4]> var_401_end_mask_0 = const()[name = tensor<string, []>("op_401_end_mask_0"), val = tensor<bool, [4]>([true, false, true, true])];
@@ -592,28 +592,28 @@ program(1.0)
             tensor<int32, [4]> var_912_begin_0 = const()[name = tensor<string, []>("op_912_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_912_end_0 = const()[name = tensor<string, []>("op_912_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 64])];
             tensor<bool, [4]> var_912_end_mask_0 = const()[name = tensor<string, []>("op_912_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 384]> transpose_2 = transpose(perm = k_3_perm_0, x = key_3_cast_fp16)[name = tensor<string, []>("transpose_2")];
-            tensor<fp16, [1, 1500, 1, 64]> var_912_cast_fp16 = slice_by_index(begin = var_912_begin_0, end = var_912_end_0, end_mask = var_912_end_mask_0, x = transpose_2)[name = tensor<string, []>("op_912_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 384]> k_3_cast_fp16 = transpose(perm = k_3_perm_0, x = key_3_cast_fp16)[name = tensor<string, []>("transpose_2")];
+            tensor<fp16, [1, 1500, 1, 64]> var_912_cast_fp16 = slice_by_index(begin = var_912_begin_0, end = var_912_end_0, end_mask = var_912_end_mask_0, x = k_3_cast_fp16)[name = tensor<string, []>("op_912_cast_fp16")];
             tensor<int32, [4]> var_916_begin_0 = const()[name = tensor<string, []>("op_916_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 64])];
             tensor<int32, [4]> var_916_end_0 = const()[name = tensor<string, []>("op_916_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 128])];
             tensor<bool, [4]> var_916_end_mask_0 = const()[name = tensor<string, []>("op_916_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_916_cast_fp16 = slice_by_index(begin = var_916_begin_0, end = var_916_end_0, end_mask = var_916_end_mask_0, x = transpose_2)[name = tensor<string, []>("op_916_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_916_cast_fp16 = slice_by_index(begin = var_916_begin_0, end = var_916_end_0, end_mask = var_916_end_mask_0, x = k_3_cast_fp16)[name = tensor<string, []>("op_916_cast_fp16")];
             tensor<int32, [4]> var_920_begin_0 = const()[name = tensor<string, []>("op_920_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 128])];
             tensor<int32, [4]> var_920_end_0 = const()[name = tensor<string, []>("op_920_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 192])];
             tensor<bool, [4]> var_920_end_mask_0 = const()[name = tensor<string, []>("op_920_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_920_cast_fp16 = slice_by_index(begin = var_920_begin_0, end = var_920_end_0, end_mask = var_920_end_mask_0, x = transpose_2)[name = tensor<string, []>("op_920_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_920_cast_fp16 = slice_by_index(begin = var_920_begin_0, end = var_920_end_0, end_mask = var_920_end_mask_0, x = k_3_cast_fp16)[name = tensor<string, []>("op_920_cast_fp16")];
             tensor<int32, [4]> var_924_begin_0 = const()[name = tensor<string, []>("op_924_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 192])];
             tensor<int32, [4]> var_924_end_0 = const()[name = tensor<string, []>("op_924_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 256])];
             tensor<bool, [4]> var_924_end_mask_0 = const()[name = tensor<string, []>("op_924_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_924_cast_fp16 = slice_by_index(begin = var_924_begin_0, end = var_924_end_0, end_mask = var_924_end_mask_0, x = transpose_2)[name = tensor<string, []>("op_924_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_924_cast_fp16 = slice_by_index(begin = var_924_begin_0, end = var_924_end_0, end_mask = var_924_end_mask_0, x = k_3_cast_fp16)[name = tensor<string, []>("op_924_cast_fp16")];
             tensor<int32, [4]> var_928_begin_0 = const()[name = tensor<string, []>("op_928_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 256])];
             tensor<int32, [4]> var_928_end_0 = const()[name = tensor<string, []>("op_928_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 320])];
             tensor<bool, [4]> var_928_end_mask_0 = const()[name = tensor<string, []>("op_928_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_928_cast_fp16 = slice_by_index(begin = var_928_begin_0, end = var_928_end_0, end_mask = var_928_end_mask_0, x = transpose_2)[name = tensor<string, []>("op_928_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_928_cast_fp16 = slice_by_index(begin = var_928_begin_0, end = var_928_end_0, end_mask = var_928_end_mask_0, x = k_3_cast_fp16)[name = tensor<string, []>("op_928_cast_fp16")];
             tensor<int32, [4]> var_932_begin_0 = const()[name = tensor<string, []>("op_932_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 320])];
             tensor<int32, [4]> var_932_end_0 = const()[name = tensor<string, []>("op_932_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 384])];
             tensor<bool, [4]> var_932_end_mask_0 = const()[name = tensor<string, []>("op_932_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_932_cast_fp16 = slice_by_index(begin = var_932_begin_0, end = var_932_end_0, end_mask = var_932_end_mask_0, x = transpose_2)[name = tensor<string, []>("op_932_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_932_cast_fp16 = slice_by_index(begin = var_932_begin_0, end = var_932_end_0, end_mask = var_932_end_mask_0, x = k_3_cast_fp16)[name = tensor<string, []>("op_932_cast_fp16")];
             tensor<int32, [4]> var_934_begin_0 = const()[name = tensor<string, []>("op_934_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_934_end_0 = const()[name = tensor<string, []>("op_934_end_0"), val = tensor<int32, [4]>([1, 64, 1, 1500])];
             tensor<bool, [4]> var_934_end_mask_0 = const()[name = tensor<string, []>("op_934_end_mask_0"), val = tensor<bool, [4]>([true, false, true, true])];
@@ -1005,28 +1005,28 @@ program(1.0)
             tensor<int32, [4]> var_1445_begin_0 = const()[name = tensor<string, []>("op_1445_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_1445_end_0 = const()[name = tensor<string, []>("op_1445_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 64])];
             tensor<bool, [4]> var_1445_end_mask_0 = const()[name = tensor<string, []>("op_1445_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 384]> transpose_1 = transpose(perm = k_5_perm_0, x = key_5_cast_fp16)[name = tensor<string, []>("transpose_1")];
-            tensor<fp16, [1, 1500, 1, 64]> var_1445_cast_fp16 = slice_by_index(begin = var_1445_begin_0, end = var_1445_end_0, end_mask = var_1445_end_mask_0, x = transpose_1)[name = tensor<string, []>("op_1445_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 384]> k_5_cast_fp16 = transpose(perm = k_5_perm_0, x = key_5_cast_fp16)[name = tensor<string, []>("transpose_1")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1445_cast_fp16 = slice_by_index(begin = var_1445_begin_0, end = var_1445_end_0, end_mask = var_1445_end_mask_0, x = k_5_cast_fp16)[name = tensor<string, []>("op_1445_cast_fp16")];
             tensor<int32, [4]> var_1449_begin_0 = const()[name = tensor<string, []>("op_1449_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 64])];
             tensor<int32, [4]> var_1449_end_0 = const()[name = tensor<string, []>("op_1449_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 128])];
             tensor<bool, [4]> var_1449_end_mask_0 = const()[name = tensor<string, []>("op_1449_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1449_cast_fp16 = slice_by_index(begin = var_1449_begin_0, end = var_1449_end_0, end_mask = var_1449_end_mask_0, x = transpose_1)[name = tensor<string, []>("op_1449_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1449_cast_fp16 = slice_by_index(begin = var_1449_begin_0, end = var_1449_end_0, end_mask = var_1449_end_mask_0, x = k_5_cast_fp16)[name = tensor<string, []>("op_1449_cast_fp16")];
             tensor<int32, [4]> var_1453_begin_0 = const()[name = tensor<string, []>("op_1453_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 128])];
             tensor<int32, [4]> var_1453_end_0 = const()[name = tensor<string, []>("op_1453_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 192])];
             tensor<bool, [4]> var_1453_end_mask_0 = const()[name = tensor<string, []>("op_1453_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1453_cast_fp16 = slice_by_index(begin = var_1453_begin_0, end = var_1453_end_0, end_mask = var_1453_end_mask_0, x = transpose_1)[name = tensor<string, []>("op_1453_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1453_cast_fp16 = slice_by_index(begin = var_1453_begin_0, end = var_1453_end_0, end_mask = var_1453_end_mask_0, x = k_5_cast_fp16)[name = tensor<string, []>("op_1453_cast_fp16")];
             tensor<int32, [4]> var_1457_begin_0 = const()[name = tensor<string, []>("op_1457_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 192])];
             tensor<int32, [4]> var_1457_end_0 = const()[name = tensor<string, []>("op_1457_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 256])];
             tensor<bool, [4]> var_1457_end_mask_0 = const()[name = tensor<string, []>("op_1457_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1457_cast_fp16 = slice_by_index(begin = var_1457_begin_0, end = var_1457_end_0, end_mask = var_1457_end_mask_0, x = transpose_1)[name = tensor<string, []>("op_1457_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1457_cast_fp16 = slice_by_index(begin = var_1457_begin_0, end = var_1457_end_0, end_mask = var_1457_end_mask_0, x = k_5_cast_fp16)[name = tensor<string, []>("op_1457_cast_fp16")];
             tensor<int32, [4]> var_1461_begin_0 = const()[name = tensor<string, []>("op_1461_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 256])];
             tensor<int32, [4]> var_1461_end_0 = const()[name = tensor<string, []>("op_1461_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 320])];
             tensor<bool, [4]> var_1461_end_mask_0 = const()[name = tensor<string, []>("op_1461_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1461_cast_fp16 = slice_by_index(begin = var_1461_begin_0, end = var_1461_end_0, end_mask = var_1461_end_mask_0, x = transpose_1)[name = tensor<string, []>("op_1461_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1461_cast_fp16 = slice_by_index(begin = var_1461_begin_0, end = var_1461_end_0, end_mask = var_1461_end_mask_0, x = k_5_cast_fp16)[name = tensor<string, []>("op_1461_cast_fp16")];
             tensor<int32, [4]> var_1465_begin_0 = const()[name = tensor<string, []>("op_1465_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 320])];
             tensor<int32, [4]> var_1465_end_0 = const()[name = tensor<string, []>("op_1465_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 384])];
             tensor<bool, [4]> var_1465_end_mask_0 = const()[name = tensor<string, []>("op_1465_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1465_cast_fp16 = slice_by_index(begin = var_1465_begin_0, end = var_1465_end_0, end_mask = var_1465_end_mask_0, x = transpose_1)[name = tensor<string, []>("op_1465_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1465_cast_fp16 = slice_by_index(begin = var_1465_begin_0, end = var_1465_end_0, end_mask = var_1465_end_mask_0, x = k_5_cast_fp16)[name = tensor<string, []>("op_1465_cast_fp16")];
             tensor<int32, [4]> var_1467_begin_0 = const()[name = tensor<string, []>("op_1467_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_1467_end_0 = const()[name = tensor<string, []>("op_1467_end_0"), val = tensor<int32, [4]>([1, 64, 1, 1500])];
             tensor<bool, [4]> var_1467_end_mask_0 = const()[name = tensor<string, []>("op_1467_end_mask_0"), val = tensor<bool, [4]>([true, false, true, true])];
@@ -1418,28 +1418,28 @@ program(1.0)
             tensor<int32, [4]> var_1978_begin_0 = const()[name = tensor<string, []>("op_1978_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_1978_end_0 = const()[name = tensor<string, []>("op_1978_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 64])];
             tensor<bool, [4]> var_1978_end_mask_0 = const()[name = tensor<string, []>("op_1978_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 384]> transpose_0 = transpose(perm = k_perm_0, x = key_cast_fp16)[name = tensor<string, []>("transpose_0")];
-            tensor<fp16, [1, 1500, 1, 64]> var_1978_cast_fp16 = slice_by_index(begin = var_1978_begin_0, end = var_1978_end_0, end_mask = var_1978_end_mask_0, x = transpose_0)[name = tensor<string, []>("op_1978_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 384]> k_cast_fp16 = transpose(perm = k_perm_0, x = key_cast_fp16)[name = tensor<string, []>("transpose_0")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1978_cast_fp16 = slice_by_index(begin = var_1978_begin_0, end = var_1978_end_0, end_mask = var_1978_end_mask_0, x = k_cast_fp16)[name = tensor<string, []>("op_1978_cast_fp16")];
             tensor<int32, [4]> var_1982_begin_0 = const()[name = tensor<string, []>("op_1982_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 64])];
             tensor<int32, [4]> var_1982_end_0 = const()[name = tensor<string, []>("op_1982_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 128])];
             tensor<bool, [4]> var_1982_end_mask_0 = const()[name = tensor<string, []>("op_1982_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1982_cast_fp16 = slice_by_index(begin = var_1982_begin_0, end = var_1982_end_0, end_mask = var_1982_end_mask_0, x = transpose_0)[name = tensor<string, []>("op_1982_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1982_cast_fp16 = slice_by_index(begin = var_1982_begin_0, end = var_1982_end_0, end_mask = var_1982_end_mask_0, x = k_cast_fp16)[name = tensor<string, []>("op_1982_cast_fp16")];
             tensor<int32, [4]> var_1986_begin_0 = const()[name = tensor<string, []>("op_1986_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 128])];
             tensor<int32, [4]> var_1986_end_0 = const()[name = tensor<string, []>("op_1986_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 192])];
             tensor<bool, [4]> var_1986_end_mask_0 = const()[name = tensor<string, []>("op_1986_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1986_cast_fp16 = slice_by_index(begin = var_1986_begin_0, end = var_1986_end_0, end_mask = var_1986_end_mask_0, x = transpose_0)[name = tensor<string, []>("op_1986_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1986_cast_fp16 = slice_by_index(begin = var_1986_begin_0, end = var_1986_end_0, end_mask = var_1986_end_mask_0, x = k_cast_fp16)[name = tensor<string, []>("op_1986_cast_fp16")];
             tensor<int32, [4]> var_1990_begin_0 = const()[name = tensor<string, []>("op_1990_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 192])];
             tensor<int32, [4]> var_1990_end_0 = const()[name = tensor<string, []>("op_1990_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 256])];
             tensor<bool, [4]> var_1990_end_mask_0 = const()[name = tensor<string, []>("op_1990_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1990_cast_fp16 = slice_by_index(begin = var_1990_begin_0, end = var_1990_end_0, end_mask = var_1990_end_mask_0, x = transpose_0)[name = tensor<string, []>("op_1990_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1990_cast_fp16 = slice_by_index(begin = var_1990_begin_0, end = var_1990_end_0, end_mask = var_1990_end_mask_0, x = k_cast_fp16)[name = tensor<string, []>("op_1990_cast_fp16")];
             tensor<int32, [4]> var_1994_begin_0 = const()[name = tensor<string, []>("op_1994_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 256])];
             tensor<int32, [4]> var_1994_end_0 = const()[name = tensor<string, []>("op_1994_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 320])];
             tensor<bool, [4]> var_1994_end_mask_0 = const()[name = tensor<string, []>("op_1994_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1994_cast_fp16 = slice_by_index(begin = var_1994_begin_0, end = var_1994_end_0, end_mask = var_1994_end_mask_0, x = transpose_0)[name = tensor<string, []>("op_1994_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1994_cast_fp16 = slice_by_index(begin = var_1994_begin_0, end = var_1994_end_0, end_mask = var_1994_end_mask_0, x = k_cast_fp16)[name = tensor<string, []>("op_1994_cast_fp16")];
             tensor<int32, [4]> var_1998_begin_0 = const()[name = tensor<string, []>("op_1998_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 320])];
             tensor<int32, [4]> var_1998_end_0 = const()[name = tensor<string, []>("op_1998_end_0"), val = tensor<int32, [4]>([1, 1500, 1, 384])];
             tensor<bool, [4]> var_1998_end_mask_0 = const()[name = tensor<string, []>("op_1998_end_mask_0"), val = tensor<bool, [4]>([true, true, true, false])];
-            tensor<fp16, [1, 1500, 1, 64]> var_1998_cast_fp16 = slice_by_index(begin = var_1998_begin_0, end = var_1998_end_0, end_mask = var_1998_end_mask_0, x = transpose_0)[name = tensor<string, []>("op_1998_cast_fp16")];
+            tensor<fp16, [1, 1500, 1, 64]> var_1998_cast_fp16 = slice_by_index(begin = var_1998_begin_0, end = var_1998_end_0, end_mask = var_1998_end_mask_0, x = k_cast_fp16)[name = tensor<string, []>("op_1998_cast_fp16")];
             tensor<int32, [4]> var_2000_begin_0 = const()[name = tensor<string, []>("op_2000_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
             tensor<int32, [4]> var_2000_end_0 = const()[name = tensor<string, []>("op_2000_end_0"), val = tensor<int32, [4]>([1, 64, 1, 1500])];
             tensor<bool, [4]> var_2000_end_mask_0 = const()[name = tensor<string, []>("op_2000_end_mask_0"), val = tensor<bool, [4]>([true, false, true, true])];

openai_whisper-tiny.en/AudioEncoder.mlmodelc/weights/weight.bin

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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/analytics/coremldata.bin

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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/coremldata.bin

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openai_whisper-tiny.en/MelSpectrogram.mlmodelc/metadata.json

@@ -50,8 +50,8 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.source_dialect" : "TorchScript",
-      "com.github.apple.coremltools.source" : "torch==2.3.1",
-      "com.github.apple.coremltools.version" : "7.2"
+      "com.github.apple.coremltools.source" : "torch==2.4.1",
+      "com.github.apple.coremltools.version" : "8.0b2"
     },
     "inputSchema" : [
       {

openai_whisper-tiny.en/MelSpectrogram.mlmodelc/model.mil

@@ -1,5 +1,5 @@
 program(1.0)
-[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3304.5.2"}, {"coremlc-version", "3304.6.2"}, {"coremltools-component-torch", "2.4.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.0b2"}})]
 {
     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])];

openai_whisper-tiny.en/MelSpectrogram.mlmodelc/weights/weight.bin

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openai_whisper-tiny.en/TextDecoder.mlmodelc/analytics/coremldata.bin

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openai_whisper-tiny.en/TextDecoder.mlmodelc/coremldata.bin

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openai_whisper-tiny.en/TextDecoder.mlmodelc/metadata.json

@@ -84,8 +84,8 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.source_dialect" : "TorchScript",
-      "com.github.apple.coremltools.source" : "torch==2.3.1",
-      "com.github.apple.coremltools.version" : "7.2"
+      "com.github.apple.coremltools.source" : "torch==2.4.1",
+      "com.github.apple.coremltools.version" : "8.0b2"
     },
     "inputSchema" : [
       {

openai_whisper-tiny.en/TextDecoder.mlmodelc/model.mil

@@ -1,5 +1,5 @@
 program(1.0)
-[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "2.3.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3304.5.2"}, {"coremlc-version", "3304.6.2"}, {"coremltools-component-torch", "2.4.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.0b2"}})]
 {
     func main<ios16>(tensor<int32, [1]> cache_length, tensor<fp16, [1, 448]> decoder_key_padding_mask, tensor<fp16, [1, 384, 1, 1500]> encoder_output_embeds, tensor<int32, [1]> input_ids, tensor<fp16, [1, 1536, 1, 448]> key_cache, tensor<fp16, [1, 448]> kv_cache_update_mask, tensor<fp16, [1, 1536, 1, 448]> value_cache) {
             tensor<int32, []> var_24_axis_0 = const()[name = tensor<string, []>("op_24_axis_0"), val = tensor<int32, []>(0)];
@@ -592,8 +592,8 @@ program(1.0)
             tensor<fp16, [1, 384, 1]> var_950_cast_fp16 = squeeze(axes = var_950_axes_0, x = hidden_states_cast_fp16)[name = tensor<string, []>("op_950_cast_fp16")];
             tensor<int32, [3]> var_953_perm_0 = const()[name = tensor<string, []>("op_953_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
             tensor<fp16, [51864]> linear_0_bias_0_to_fp16 = const()[name = tensor<string, []>("linear_0_bias_0_to_fp16"), val = tensor<fp16, [51864]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(59111872)))];
-            tensor<fp16, [1, 1, 384]> transpose_0 = transpose(perm = var_953_perm_0, x = var_950_cast_fp16)[name = tensor<string, []>("transpose_0")];
-            tensor<fp16, [1, 1, 51864]> logits = linear(bias = linear_0_bias_0_to_fp16, weight = embed_tokens_weight_to_fp16, x = transpose_0)[name = tensor<string, []>("linear_0_cast_fp16")];
+            tensor<fp16, [1, 1, 384]> var_953_cast_fp16 = transpose(perm = var_953_perm_0, x = var_950_cast_fp16)[name = tensor<string, []>("transpose_0")];
+            tensor<fp16, [1, 1, 51864]> logits = linear(bias = linear_0_bias_0_to_fp16, weight = embed_tokens_weight_to_fp16, x = var_953_cast_fp16)[name = tensor<string, []>("linear_0_cast_fp16")];
             tensor<int32, []> var_957 = const()[name = tensor<string, []>("op_957"), val = tensor<int32, []>(1)];
             tensor<bool, []> obj_59_interleave_0 = const()[name = tensor<string, []>("obj_59_interleave_0"), val = tensor<bool, []>(false)];
             tensor<fp16, [1, 1536, 1, 1]> key_cache_updates = concat(axis = var_957, interleave = obj_59_interleave_0, values = (current_key_1_cast_fp16, current_key_3_cast_fp16, current_key_5_cast_fp16, current_key_cast_fp16))[name = tensor<string, []>("obj_59_cast_fp16")];

openai_whisper-tiny.en/TextDecoder.mlmodelc/weights/weight.bin

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