mirror of
https://github.com/saymrwulf/onnxruntime.git
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294 lines
11 KiB
Text
294 lines
11 KiB
Text
[
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{
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"name": "matmul tests with no attributes",
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"operator": "MatMul",
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"attributes": [],
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"cases": [
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{
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"name": "multiplies 2D tensors [2,4]x[4,2]",
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"inputs": [
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{
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"data": [1, 2, 1, 3, 2, 3, 1, 2],
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"dims": [2, 4],
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"type": "float32"
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},
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{
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"data": [2, 1, 1, 2, 2, 3, 0, 4],
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"dims": [4, 2],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [6, 20, 9, 19],
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"dims": [2, 2],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 2D tensors [2,2]x[2,2]",
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"inputs": [
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{
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"data": [1, 2, 3, 4],
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"dims": [2, 2],
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"type": "float32"
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},
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{
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"data": [1, 2, 3, 4],
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"dims": [2, 2],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [7, 10, 15, 22],
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"dims": [2, 2],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 2D tensors [2,3]x[3,2]",
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"inputs": [
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{
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"data": [1, 2, 3, 4, 5, 6],
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"dims": [2, 3],
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"type": "float32"
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},
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{
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"data": [1, 2, 3, 4, 5, 6],
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"dims": [3, 2],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [22, 28, 49, 64],
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"dims": [2, 2],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 3D tensors",
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"inputs": [
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{
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"data": [
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1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19, 20, 21, 22, 23, 24, 9, 10, 11,
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12, 13, 14, 15, 16
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],
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"dims": [3, 2, 4],
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"type": "float32"
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},
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{
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"data": [
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13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 1, 2, 3, 4, 5, 6,
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7, 8, 9, 10, 11, 12, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
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36
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],
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"dims": [3, 4, 3],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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190, 200, 210, 470, 496, 522, 422, 496, 570, 510, 600, 690, 1254,
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1296, 1338, 1726, 1784, 1842
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],
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"dims": [3, 2, 3],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 4D tensors",
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"inputs": [
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{
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"data": [
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37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52,
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53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68,
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69, 70, 71, 72, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
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32, 33, 34, 35, 36
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],
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"dims": [2, 3, 4, 3],
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"type": "float32"
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},
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{
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"data": [
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46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61,
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62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,
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78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 1, 2, 3, 4, 5,
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6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22,
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23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
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39, 40, 41, 42, 43, 44, 45
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],
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"dims": [2, 3, 3, 5],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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5824, 5938, 6052, 6166, 6280, 6283, 6406, 6529, 6652, 6775, 6742,
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6874, 7006, 7138, 7270, 7201, 7342, 7483, 7624, 7765, 9910, 10060,
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10210, 10360, 10510, 10504, 10663, 10822, 10981, 11140, 11098,
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11266, 11434, 11602, 11770, 11692, 11869, 12046, 12223, 12400,
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15076, 15262, 15448, 15634, 15820, 15805, 16000, 16195, 16390,
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16585, 16534, 16738, 16942, 17146, 17350, 17263, 17476, 17689,
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17902, 18115, 46, 52, 58, 64, 70, 100, 115, 130, 145, 160, 154,
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178, 202, 226, 250, 208, 241, 274, 307, 340, 892, 934, 976, 1018,
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1060, 1081, 1132, 1183, 1234, 1285, 1270, 1330, 1390, 1450, 1510,
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1459, 1528, 1597, 1666, 1735, 2818, 2896, 2974, 3052, 3130, 3142,
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3229, 3316, 3403, 3490, 3466, 3562, 3658, 3754, 3850, 3790, 3895,
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4000, 4105, 4210
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],
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"dims": [2, 3, 4, 5],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 2D broadcasted to 4D tensors",
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"inputs": [
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{
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"data": [1, 2, 1, 3, 2, 3, 1, 2],
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"dims": [2, 4],
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"type": "float32"
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},
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{
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"data": [
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49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,
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65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80,
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81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96,
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97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110,
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111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123,
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124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136,
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137, 138, 139, 140, 141, 142, 143, 144, 1, 2, 3, 4, 5, 6, 7, 8, 9,
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10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
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26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,
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42, 43, 44, 45, 46, 47, 48, 145, 146, 147, 148, 149, 150, 151,
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152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164,
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165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177,
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178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190,
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191, 192
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],
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"dims": [4, 3, 2, 4, 2],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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369, 376, 414, 422, 425, 432, 478, 486, 481, 488, 542, 550, 537,
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544, 606, 614, 593, 600, 670, 678, 649, 656, 734, 742, 705, 712,
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798, 806, 761, 768, 862, 870, 817, 824, 926, 934, 873, 880, 990,
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998, 929, 936, 1054, 1062, 985, 992, 1118, 1126, 33, 40, 30, 38,
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89, 96, 94, 102, 145, 152, 158, 166, 201, 208, 222, 230, 257, 264,
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286, 294, 313, 320, 350, 358, 1041, 1048, 1182, 1190, 1097, 1104,
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1246, 1254, 1153, 1160, 1310, 1318, 1209, 1216, 1374, 1382, 1265,
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1272, 1438, 1446, 1321, 1328, 1502, 1510
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],
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"dims": [4, 3, 2, 2, 2],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 4D broadcasted to 5D tensors",
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"inputs": [
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{
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"data": [
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1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19, 20, 21, 22, 23, 24, 9, 10, 11,
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12, 13, 14, 15, 16
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],
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"dims": [3, 1, 2, 4],
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"type": "float32"
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},
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{
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"data": [
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49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,
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65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80,
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81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96,
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97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110,
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111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123,
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124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136,
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137, 138, 139, 140, 141, 142, 143, 144, 1, 2, 3, 4, 5, 6, 7, 8, 9,
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10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
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26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,
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42, 43, 44, 45, 46, 47, 48, 145, 146, 147, 148, 149, 150, 151,
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152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164,
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165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177,
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178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190,
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191, 192
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],
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"dims": [4, 3, 2, 4, 2],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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530, 540, 1362, 1388, 610, 620, 1570, 1596, 5042, 5116, 6130,
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6220, 5634, 5708, 6850, 6940, 3538, 3580, 4882, 4940, 3874, 3916,
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5346, 5404, 1010, 1020, 2610, 2636, 1090, 1100, 2818, 2844, 8594,
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8668, 10450, 10540, 9186, 9260, 11170, 11260, 5554, 5596, 7666,
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7724, 5890, 5932, 8130, 8188, 50, 60, 114, 140, 130, 140, 322,
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348, 1490, 1564, 1810, 1900, 2082, 2156, 2530, 2620, 1522, 1564,
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2098, 2156, 1858, 1900, 2562, 2620, 1490, 1500, 3858, 3884, 1570,
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1580, 4066, 4092, 12146, 12220, 14770, 14860, 12738, 12812, 15490,
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15580, 7570, 7612, 10450, 10508, 7906, 7948, 10914, 10972
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],
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"dims": [4, 3, 2, 2, 2],
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"type": "float32"
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}
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]
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},
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{
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"name": "multiplies 5D with 2D tensors",
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"inputs": [
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{
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"data": [
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73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88,
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89, 90, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
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18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
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34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
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50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
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66, 67, 68, 69, 70, 71, 72
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],
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"dims": [5, 3, 1, 2, 3],
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"type": "float32"
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},
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{
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"data": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
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"dims": [3, 5],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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1342, 1564, 1786, 2008, 2230, 1396, 1627, 1858, 2089, 2320, 1450,
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1690, 1930, 2170, 2410, 1504, 1753, 2002, 2251, 2500, 1558, 1816,
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2074, 2332, 2590, 1612, 1879, 2146, 2413, 2680, 46, 52, 58, 64,
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70, 100, 115, 130, 145, 160, 154, 178, 202, 226, 250, 208, 241,
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274, 307, 340, 262, 304, 346, 388, 430, 316, 367, 418, 469, 520,
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370, 430, 490, 550, 610, 424, 493, 562, 631, 700, 478, 556, 634,
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712, 790, 532, 619, 706, 793, 880, 586, 682, 778, 874, 970, 640,
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745, 850, 955, 1060, 694, 808, 922, 1036, 1150, 748, 871, 994,
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1117, 1240, 802, 934, 1066, 1198, 1330, 856, 997, 1138, 1279,
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1420, 910, 1060, 1210, 1360, 1510, 964, 1123, 1282, 1441, 1600,
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1018, 1186, 1354, 1522, 1690, 1072, 1249, 1426, 1603, 1780, 1126,
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1312, 1498, 1684, 1870, 1180, 1375, 1570, 1765, 1960, 1234, 1438,
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1642, 1846, 2050, 1288, 1501, 1714, 1927, 2140
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],
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"dims": [5, 3, 1, 2, 5],
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"type": "float32"
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}
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]
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}
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]
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}
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]
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