stablehlo.divide::ttnn.div

STABLE HLO Input Variationsttnn opTorch NameStatus
0Tensor<[1,32,32,32]>,
Tensor<[1,32,32,32]>,
ttnn.divaten::_safe_softmax4
1Scalar,
Scalar,
ttnn.divaten::arange4
2Tensor<[1,32,1]>,
Tensor<[1,32,1]>,
ttnn.divaten::mean.dim4
3Tensor<[1,12,7,7]>,
Tensor<[1,12,7,7]>,
ttnn.divaten::_safe_softmax4
4Tensor<[32]>,
Tensor<[32]>,
ttnn.divaten::reciprocal5
5Tensor<[64]>,
Tensor<[64]>,
ttnn.divaten::reciprocal5
6Tensor<[128]>,
Tensor<[128]>,
ttnn.divaten::reciprocal5
7Tensor<[256]>,
Tensor<[256]>,
ttnn.divaten::reciprocal5
8Tensor<[512]>,
Tensor<[512]>,
ttnn.divaten::reciprocal5
9Tensor<[1,1024,512]>,
Tensor<[1,1024,512]>,
ttnn.divaten::gelu4
10Tensor<[1,256,256]>,
Tensor<[1,256,256]>,
ttnn.divaten::gelu4
11Tensor<[1,512]>,
Tensor<[1,512]>,
ttnn.divaten::mean.dim4
12Tensor<[8,920,920]>,
Tensor<[8,920,920]>,
ttnn.divaten::_softmax4
13Tensor<[8,100,100]>,
Tensor<[8,100,100]>,
ttnn.divaten::_softmax4
14Tensor<[8,100,920]>,
Tensor<[8,100,920]>,
ttnn.divaten::_softmax4
15Tensor<[1,23,40]>,
Tensor<[1,23,40]>,
ttnn.divaten::div.Tensor4
16Tensor<[1,23,40,128]>,
Tensor<[1,23,40,128]>,
ttnn.divaten::div.Tensor4
17Tensor<[1,12,10,10]>,
Tensor<[1,12,10,10]>,
ttnn.divaten::_safe_softmax4
18Tensor<[1,10,3072]>,
Tensor<[1,10,3072]>,
ttnn.divaten::gelu4
19Tensor<[1,10,768]>,
Tensor<[1,10,768]>,
ttnn.divaten::gelu4
20Tensor<[1,8,4096,4096]>,
Tensor<[1,8,4096,4096]>,
ttnn.divaten::_safe_softmax4
21Tensor<[1,8,4096,9]>,
Tensor<[1,8,4096,9]>,
ttnn.divaten::_safe_softmax4
22Tensor<[1,8,1024,1024]>,
Tensor<[1,8,1024,1024]>,
ttnn.divaten::_safe_softmax4
23Tensor<[1,8,1024,9]>,
Tensor<[1,8,1024,9]>,
ttnn.divaten::_safe_softmax4
24Tensor<[1,8,256,256]>,
Tensor<[1,8,256,256]>,
ttnn.divaten::_safe_softmax4
25Tensor<[1,8,256,9]>,
Tensor<[1,8,256,9]>,
ttnn.divaten::_safe_softmax4
26Tensor<[1,8,64,64]>,
Tensor<[1,8,64,64]>,
ttnn.divaten::_safe_softmax4
27Tensor<[1,8,64,9]>,
Tensor<[1,8,64,9]>,
ttnn.divaten::_safe_softmax4
28Tensor<[160]>,
Tensor<[160]>,
ttnn.divaten::div.Tensor4
29Tensor<[1,320,64,64]>,
Tensor<[1,320,64,64]>,
ttnn.divaten::div.Tensor4
30Tensor<[1,4096,320]>,
Tensor<[1,4096,320]>,
ttnn.divaten::div.Tensor4
31Tensor<[1,640,32,32]>,
Tensor<[1,640,32,32]>,
ttnn.divaten::div.Tensor4
32Tensor<[1,1024,640]>,
Tensor<[1,1024,640]>,
ttnn.divaten::div.Tensor4
33Tensor<[1,1280,16,16]>,
Tensor<[1,1280,16,16]>,
ttnn.divaten::div.Tensor4
34Tensor<[1,256,1280]>,
Tensor<[1,256,1280]>,
ttnn.divaten::div.Tensor4
35Tensor<[1,1280,8,8]>,
Tensor<[1,1280,8,8]>,
ttnn.divaten::div.Tensor4
36Tensor<[1,64,1280]>,
Tensor<[1,64,1280]>,
ttnn.divaten::div.Tensor4
37Tensor<[1,4096,1280]>,
Tensor<[1,4096,1280]>,
ttnn.divaten::gelu4
38Tensor<[1,1024,2560]>,
Tensor<[1,1024,2560]>,
ttnn.divaten::gelu4
39Tensor<[1,256,5120]>,
Tensor<[1,256,5120]>,
ttnn.divaten::gelu4
40Tensor<[1,64,5120]>,
Tensor<[1,64,5120]>,
ttnn.divaten::gelu4
41Tensor<[1,12,25,25]>,
Tensor<[1,12,25,25]>,
ttnn.divaten::_safe_softmax4
42Tensor<[1,25,3072]>,
Tensor<[1,25,3072]>,
ttnn.divaten::gelu4
43Tensor<[1,3,1445,1445]>,
Tensor<[1,3,1445,1445]>,
ttnn.divaten::_safe_softmax4
44Tensor<[1,1445,768]>,
Tensor<[1,1445,768]>,
ttnn.divaten::gelu4
45Tensor<[1,512,1,1]>,
Tensor<[1,512,1,1]>,
ttnn.divaten::mean.dim4
46Tensor<[1,12,8,8]>,
Tensor<[1,12,8,8]>,
ttnn.divaten::_softmax4
47Tensor<[1,3072,8]>,
Tensor<[1,3072,8]>,
ttnn.divaten::gelu4
48Tensor<[1,8,256,2048]>,
Tensor<[1,8,256,2048]>,
ttnn.divaten::_softmax4
49Tensor<[1,8,2048,256]>,
Tensor<[1,8,2048,256]>,
ttnn.divaten::_softmax4
50Tensor<[1,2048,768]>,
Tensor<[1,2048,768]>,
ttnn.divaten::gelu4
51Tensor<[1,2048,1,1]>,
Tensor<[1,2048,1,1]>,
ttnn.divaten::mean.dim4
52Tensor<[1024]>,
Tensor<[1024]>,
ttnn.divaten::reciprocal5
53Tensor<[2048]>,
Tensor<[2048]>,
ttnn.divaten::reciprocal5
54Tensor<[1,12,201,201]>,
Tensor<[1,12,201,201]>,
ttnn.divaten::_softmax4
55Tensor<[1,201,3072]>,
Tensor<[1,201,3072]>,
ttnn.divaten::gelu4
56Tensor<[1,1536]>,
Tensor<[1,1536]>,
ttnn.divaten::gelu4
57Tensor<[16,19,19]>,
Tensor<[16,19,19]>,
ttnn.divaten::_softmax4
58Tensor<[19]>,
Tensor<[19]>,
ttnn.divaten::floor_divide4
59Tensor<[1,19,4096]>,
Tensor<[1,19,4096]>,
ttnn.divaten::gelu4
60Tensor<[1,1024,1,1]>,
Tensor<[1,1024,1,1]>,
ttnn.divaten::mean.dim4
61Tensor<[14]>,
Tensor<[14]>,
ttnn.divaten::reciprocal5
62Tensor<[24]>,
Tensor<[24]>,
ttnn.divaten::reciprocal5
63Tensor<[40]>,
Tensor<[40]>,
ttnn.divaten::reciprocal5
64Tensor<[68]>,
Tensor<[68]>,
ttnn.divaten::reciprocal5
65Tensor<[16]>,
Tensor<[16]>,
ttnn.divaten::reciprocal5
66Tensor<[28]>,
Tensor<[28]>,
ttnn.divaten::reciprocal5
67Tensor<[46]>,
Tensor<[46]>,
ttnn.divaten::reciprocal5
68Tensor<[78]>,
Tensor<[78]>,
ttnn.divaten::reciprocal5
69Tensor<[134]>,
Tensor<[134]>,
ttnn.divaten::reciprocal5
70Tensor<[20]>,
Tensor<[20]>,
ttnn.divaten::reciprocal5
71Tensor<[34]>,
Tensor<[34]>,
ttnn.divaten::reciprocal5
72Tensor<[58]>,
Tensor<[58]>,
ttnn.divaten::reciprocal5
73Tensor<[98]>,
Tensor<[98]>,
ttnn.divaten::reciprocal5
74Tensor<[168]>,
Tensor<[168]>,
ttnn.divaten::reciprocal5
75Tensor<[320]>,
Tensor<[320]>,
ttnn.divaten::reciprocal5
76Tensor<[116]>,
Tensor<[116]>,
ttnn.divaten::reciprocal5
77Tensor<[196]>,
Tensor<[196]>,
ttnn.divaten::reciprocal5
78Tensor<[334]>,
Tensor<[334]>,
ttnn.divaten::reciprocal5
79Tensor<[640]>,
Tensor<[640]>,
ttnn.divaten::reciprocal5
80Tensor<[272]>,
Tensor<[272]>,
ttnn.divaten::reciprocal5
81Tensor<[462]>,
Tensor<[462]>,
ttnn.divaten::reciprocal5
82Tensor<[1,16,32,32]>,
Tensor<[1,16,32,32]>,
ttnn.divaten::_softmax4
83Tensor<[1,12,16,16]>,
Tensor<[1,12,16,16]>,
ttnn.divaten::_safe_softmax4
84Tensor<[1,16,3072]>,
Tensor<[1,16,3072]>,
ttnn.divaten::gelu4
85Tensor<[1,1,19200,300]>,
Tensor<[1,1,19200,300]>,
ttnn.divaten::_softmax4
86Tensor<[1,2,4800,300]>,
Tensor<[1,2,4800,300]>,
ttnn.divaten::_softmax4
87Tensor<[1,5,1200,300]>,
Tensor<[1,5,1200,300]>,
ttnn.divaten::_softmax4
88Tensor<[1,8,300,300]>,
Tensor<[1,8,300,300]>,
ttnn.divaten::_softmax4
89Tensor<[1,19200,256]>,
Tensor<[1,19200,256]>,
ttnn.divaten::gelu4
90Tensor<[1,4800,512]>,
Tensor<[1,4800,512]>,
ttnn.divaten::gelu4
91Tensor<[1,1200,1280]>,
Tensor<[1,1200,1280]>,
ttnn.divaten::gelu4
92Tensor<[1,300,2048]>,
Tensor<[1,300,2048]>,
ttnn.divaten::gelu4
93Tensor<[1,12,197,197]>,
Tensor<[1,12,197,197]>,
ttnn.divaten::_safe_softmax4
94Tensor<[1,197,3072]>,
Tensor<[1,197,3072]>,
ttnn.divaten::gelu4
95Tensor<[1,1,16384,256]>,
Tensor<[1,1,16384,256]>,
ttnn.divaten::_softmax4
96Tensor<[1,2,4096,256]>,
Tensor<[1,2,4096,256]>,
ttnn.divaten::_softmax4
97Tensor<[1,5,1024,256]>,
Tensor<[1,5,1024,256]>,
ttnn.divaten::_softmax4
98Tensor<[1,16384,128]>,
Tensor<[1,16384,128]>,
ttnn.divaten::gelu4
99Tensor<[1,4096,256]>,
Tensor<[1,4096,256]>,
ttnn.divaten::gelu4
100Tensor<[1,256,1024]>,
Tensor<[1,256,1024]>,
ttnn.divaten::gelu4
101Tensor<[1,71,7,7]>,
Tensor<[1,71,7,7]>,
ttnn.divaten::_safe_softmax4
102Tensor<[1,7,18176]>,
Tensor<[1,7,18176]>,
ttnn.divaten::gelu4
103Tensor<[1,1280,1,1]>,
Tensor<[1,1280,1,1]>,
ttnn.divaten::mean.dim4
104Tensor<[96]>,
Tensor<[96]>,
ttnn.divaten::reciprocal5
105Tensor<[144]>,
Tensor<[144]>,
ttnn.divaten::reciprocal5
106Tensor<[192]>,
Tensor<[192]>,
ttnn.divaten::reciprocal5
107Tensor<[384]>,
Tensor<[384]>,
ttnn.divaten::reciprocal5
108Tensor<[576]>,
Tensor<[576]>,
ttnn.divaten::reciprocal5
109Tensor<[960]>,
Tensor<[960]>,
ttnn.divaten::reciprocal5
110Tensor<[1280]>,
Tensor<[1280]>,
ttnn.divaten::reciprocal5
111Tensor<[1,12,12,12]>,
Tensor<[1,12,12,12]>,
ttnn.divaten::_safe_softmax4
112Tensor<[1,12,9,9]>,
Tensor<[1,12,9,9]>,
ttnn.divaten::_safe_softmax4
113Tensor<[1,16,9,9]>,
Tensor<[1,16,9,9]>,
ttnn.divaten::_safe_softmax4
114Tensor<[1,64,9,9]>,
Tensor<[1,64,9,9]>,
ttnn.divaten::_safe_softmax4
115Tensor<[1,12,14,14]>,
Tensor<[1,12,14,14]>,
ttnn.divaten::_safe_softmax4
116Tensor<[1,12,50,50]>,
Tensor<[1,12,50,50]>,
ttnn.divaten::_safe_softmax4
117Tensor<[2,8,7,7]>,
Tensor<[2,8,7,7]>,
ttnn.divaten::_safe_softmax4
118Tensor<[2,512]>,
Tensor<[2,512]>,
ttnn.divaten::div.Tensor4
119Tensor<[1,16,197,197]>,
Tensor<[1,16,197,197]>,
ttnn.divaten::_softmax4
120Tensor<[197]>,
Tensor<[197]>,
ttnn.divaten::floor_divide4
121Tensor<[1,197,4096]>,
Tensor<[1,197,4096]>,
ttnn.divaten::gelu4
122Tensor<[1,1024]>,
Tensor<[1,1024]>,
ttnn.divaten::mean.dim4
123Tensor<[1,768]>,
Tensor<[1,768]>,
ttnn.divaten::mean.dim4