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Delete configs/BASIC.yaml
Browse files- configs/BASIC.yaml +0 -1072
configs/BASIC.yaml
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model:
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lm_head:
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accum_format: SAME
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approximation_function: NONE
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input_format: SAME
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| 6 |
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instance: Linear
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| 7 |
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output_format: SAME
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| 8 |
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weight_format: SAME
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| 9 |
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weight_sparseness: DENSE
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| 10 |
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model.decoder.final_layer_norm:
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| 11 |
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approximation_function: NONE
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| 12 |
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bias_format: SAME
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| 13 |
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input_format: SAME
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| 14 |
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instance: LayerNorm
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| 15 |
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output_format: SAME
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| 16 |
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weight_format: SAME
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| 17 |
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model.decoder.layers.0.activation_fn:
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| 18 |
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approximation_function: NONE
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| 19 |
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input_format: SAME
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| 20 |
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instance: ReLU
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| 21 |
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output_format: SAME
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| 22 |
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model.decoder.layers.0.dropout:
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| 23 |
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approximation_function: NONE
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| 24 |
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input_format: SAME
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| 25 |
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instance: Dropout
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| 26 |
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output_format: SAME
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| 27 |
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model.decoder.layers.0.fc1:
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| 28 |
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accum_format: SAME
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| 29 |
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approximation_function: NONE
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| 30 |
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bias_format: SAME
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| 31 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 32 |
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instance: Linear
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| 33 |
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output_format: SAME
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| 34 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 35 |
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weight_sparseness: DENSE
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| 36 |
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model.decoder.layers.0.fc2:
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| 37 |
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accum_format: SAME
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| 38 |
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approximation_function: NONE
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| 39 |
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bias_format: SAME
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| 40 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 41 |
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instance: Linear
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| 42 |
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output_format: SAME
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| 43 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 44 |
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weight_sparseness: DENSE
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| 45 |
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model.decoder.layers.0.final_layer_norm:
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| 46 |
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approximation_function: NONE
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| 47 |
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bias_format: SAME
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| 48 |
-
input_format: SAME
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| 49 |
-
instance: LayerNorm
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| 50 |
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output_format: SAME
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| 51 |
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weight_format: SAME
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| 52 |
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model.decoder.layers.0.self_attn.dropout:
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| 53 |
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approximation_function: NONE
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| 54 |
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input_format: SAME
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| 55 |
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instance: Dropout
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| 56 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 57 |
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model.decoder.layers.0.self_attn.k_proj:
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| 58 |
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accum_format: SAME
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| 59 |
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approximation_function: NONE
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| 60 |
-
bias_format: SAME
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| 61 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 62 |
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instance: Linear
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| 63 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 64 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 65 |
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weight_sparseness: DENSE
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| 66 |
-
model.decoder.layers.0.self_attn.out_proj:
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| 67 |
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accum_format: SAME
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| 68 |
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approximation_function: NONE
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| 69 |
-
bias_format: SAME
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| 70 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 71 |
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instance: Linear
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| 72 |
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output_format: SAME
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| 73 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 74 |
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weight_sparseness: DENSE
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| 75 |
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model.decoder.layers.0.self_attn.q_proj:
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| 76 |
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accum_format: SAME
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| 77 |
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approximation_function: NONE
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| 78 |
-
bias_format: SAME
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| 79 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 80 |
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instance: Linear
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| 81 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 82 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 83 |
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weight_sparseness: DENSE
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| 84 |
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model.decoder.layers.0.self_attn.softmax:
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| 85 |
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approximation_function: NONE
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| 86 |
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input_format: SAME
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| 87 |
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instance: Softmax
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| 88 |
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output_format: SAME
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| 89 |
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model.decoder.layers.0.self_attn.v_proj:
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| 90 |
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accum_format: SAME
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| 91 |
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approximation_function: NONE
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| 92 |
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bias_format: SAME
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| 93 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 94 |
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instance: Linear
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output_format: BFP[8|8]{64,-1}(SN)
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weight_format: BFP[8|8]{64,-1}(SN)
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| 97 |
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weight_sparseness: DENSE
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| 98 |
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model.decoder.layers.0.self_attn_layer_norm:
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| 99 |
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approximation_function: NONE
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| 100 |
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bias_format: SAME
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| 101 |
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input_format: SAME
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| 102 |
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instance: LayerNorm
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| 103 |
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output_format: SAME
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| 104 |
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weight_format: SAME
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| 105 |
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model.decoder.layers.1.activation_fn:
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| 106 |
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approximation_function: NONE
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| 107 |
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input_format: SAME
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| 108 |
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instance: ReLU
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| 109 |
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output_format: SAME
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| 110 |
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model.decoder.layers.1.dropout:
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| 111 |
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approximation_function: NONE
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| 112 |
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input_format: SAME
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| 113 |
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instance: Dropout
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| 114 |
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output_format: SAME
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| 115 |
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model.decoder.layers.1.fc1:
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| 116 |
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accum_format: SAME
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| 117 |
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approximation_function: NONE
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| 118 |
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bias_format: SAME
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| 119 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 120 |
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instance: Linear
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| 121 |
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output_format: SAME
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| 122 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 123 |
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weight_sparseness: DENSE
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| 124 |
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model.decoder.layers.1.fc2:
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| 125 |
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accum_format: SAME
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| 126 |
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approximation_function: NONE
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| 127 |
-
bias_format: SAME
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| 128 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 129 |
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instance: Linear
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| 130 |
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output_format: SAME
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| 131 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 132 |
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weight_sparseness: DENSE
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| 133 |
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model.decoder.layers.1.final_layer_norm:
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| 134 |
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approximation_function: NONE
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| 135 |
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bias_format: SAME
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| 136 |
-
input_format: SAME
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| 137 |
-
instance: LayerNorm
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| 138 |
-
output_format: SAME
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| 139 |
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weight_format: SAME
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| 140 |
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model.decoder.layers.1.self_attn.dropout:
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| 141 |
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approximation_function: NONE
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| 142 |
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input_format: SAME
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| 143 |
-
instance: Dropout
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| 144 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 145 |
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model.decoder.layers.1.self_attn.k_proj:
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| 146 |
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accum_format: SAME
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| 147 |
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approximation_function: NONE
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| 148 |
-
bias_format: SAME
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| 149 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 150 |
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instance: Linear
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| 151 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 152 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 153 |
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weight_sparseness: DENSE
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| 154 |
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model.decoder.layers.1.self_attn.out_proj:
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| 155 |
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accum_format: SAME
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| 156 |
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approximation_function: NONE
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| 157 |
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bias_format: SAME
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| 158 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 159 |
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instance: Linear
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| 160 |
-
output_format: SAME
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| 161 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 162 |
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weight_sparseness: DENSE
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| 163 |
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model.decoder.layers.1.self_attn.q_proj:
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| 164 |
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accum_format: SAME
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| 165 |
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approximation_function: NONE
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| 166 |
-
bias_format: SAME
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| 167 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 168 |
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instance: Linear
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| 169 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 170 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 171 |
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weight_sparseness: DENSE
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| 172 |
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model.decoder.layers.1.self_attn.softmax:
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| 173 |
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approximation_function: NONE
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| 174 |
-
input_format: SAME
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| 175 |
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instance: Softmax
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| 176 |
-
output_format: SAME
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| 177 |
-
model.decoder.layers.1.self_attn.v_proj:
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| 178 |
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accum_format: SAME
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| 179 |
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approximation_function: NONE
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| 180 |
-
bias_format: SAME
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| 181 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 182 |
-
instance: Linear
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| 183 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 184 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 185 |
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weight_sparseness: DENSE
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| 186 |
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model.decoder.layers.1.self_attn_layer_norm:
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| 187 |
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approximation_function: NONE
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| 188 |
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bias_format: SAME
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| 189 |
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input_format: SAME
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| 190 |
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instance: LayerNorm
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| 191 |
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output_format: SAME
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| 192 |
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weight_format: SAME
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| 193 |
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model.decoder.layers.10.activation_fn:
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| 194 |
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approximation_function: NONE
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| 195 |
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input_format: SAME
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| 196 |
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instance: ReLU
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| 197 |
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output_format: SAME
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| 198 |
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model.decoder.layers.10.dropout:
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| 199 |
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approximation_function: NONE
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| 200 |
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input_format: SAME
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| 201 |
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instance: Dropout
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| 202 |
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output_format: SAME
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| 203 |
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model.decoder.layers.10.fc1:
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| 204 |
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accum_format: SAME
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| 205 |
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approximation_function: NONE
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| 206 |
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bias_format: SAME
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| 207 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 208 |
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instance: Linear
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| 209 |
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output_format: SAME
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weight_format: BFP[8|8]{64,-1}(SN)
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| 211 |
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weight_sparseness: DENSE
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| 212 |
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model.decoder.layers.10.fc2:
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| 213 |
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accum_format: SAME
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approximation_function: NONE
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| 215 |
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bias_format: SAME
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| 216 |
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input_format: BFP[8|8]{64,-1}(SN)
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instance: Linear
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output_format: SAME
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weight_format: BFP[8|8]{64,-1}(SN)
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| 220 |
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weight_sparseness: DENSE
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| 221 |
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model.decoder.layers.10.final_layer_norm:
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| 222 |
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approximation_function: NONE
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| 223 |
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bias_format: SAME
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| 224 |
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input_format: SAME
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| 225 |
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instance: LayerNorm
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| 226 |
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output_format: SAME
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| 227 |
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weight_format: SAME
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| 228 |
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model.decoder.layers.10.self_attn.dropout:
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| 229 |
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approximation_function: NONE
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| 230 |
-
input_format: SAME
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| 231 |
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instance: Dropout
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| 232 |
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output_format: BFP[8|8]{64,-1}(SN)
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| 233 |
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model.decoder.layers.10.self_attn.k_proj:
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| 234 |
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accum_format: SAME
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approximation_function: NONE
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| 236 |
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bias_format: SAME
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| 237 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 238 |
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instance: Linear
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output_format: BFP[8|8]{64,-1}(SN)
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weight_format: BFP[8|8]{64,-1}(SN)
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| 241 |
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weight_sparseness: DENSE
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| 242 |
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model.decoder.layers.10.self_attn.out_proj:
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accum_format: SAME
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approximation_function: NONE
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| 245 |
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bias_format: SAME
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| 246 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 247 |
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instance: Linear
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output_format: SAME
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| 249 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 250 |
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weight_sparseness: DENSE
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| 251 |
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model.decoder.layers.10.self_attn.q_proj:
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| 252 |
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accum_format: SAME
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approximation_function: NONE
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| 254 |
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bias_format: SAME
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| 255 |
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input_format: BFP[8|8]{64,-1}(SN)
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| 256 |
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instance: Linear
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output_format: BFP[8|8]{64,-1}(SN)
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weight_format: BFP[8|8]{64,-1}(SN)
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| 259 |
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weight_sparseness: DENSE
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| 260 |
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model.decoder.layers.10.self_attn.softmax:
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| 261 |
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approximation_function: NONE
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| 262 |
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input_format: SAME
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| 263 |
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instance: Softmax
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| 264 |
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output_format: SAME
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| 265 |
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model.decoder.layers.10.self_attn.v_proj:
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| 266 |
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accum_format: SAME
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approximation_function: NONE
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| 268 |
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bias_format: SAME
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| 269 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 270 |
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instance: Linear
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output_format: BFP[8|8]{64,-1}(SN)
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| 272 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 273 |
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weight_sparseness: DENSE
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| 274 |
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model.decoder.layers.10.self_attn_layer_norm:
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| 275 |
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approximation_function: NONE
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| 276 |
-
bias_format: SAME
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| 277 |
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input_format: SAME
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| 278 |
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instance: LayerNorm
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| 279 |
-
output_format: SAME
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| 280 |
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weight_format: SAME
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| 281 |
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model.decoder.layers.11.activation_fn:
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| 282 |
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approximation_function: NONE
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| 283 |
-
input_format: SAME
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| 284 |
-
instance: ReLU
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| 285 |
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output_format: SAME
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| 286 |
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model.decoder.layers.11.dropout:
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| 287 |
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approximation_function: NONE
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| 288 |
-
input_format: SAME
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| 289 |
-
instance: Dropout
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| 290 |
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output_format: SAME
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| 291 |
-
model.decoder.layers.11.fc1:
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| 292 |
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accum_format: SAME
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| 293 |
-
approximation_function: NONE
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| 294 |
-
bias_format: SAME
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| 295 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 296 |
-
instance: Linear
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| 297 |
-
output_format: SAME
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| 298 |
-
weight_format: BFP[8|8]{64,-1}(SN)
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| 299 |
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weight_sparseness: DENSE
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| 300 |
-
model.decoder.layers.11.fc2:
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| 301 |
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accum_format: SAME
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| 302 |
-
approximation_function: NONE
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| 303 |
-
bias_format: SAME
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| 304 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 305 |
-
instance: Linear
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| 306 |
-
output_format: SAME
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| 307 |
-
weight_format: BFP[8|8]{64,-1}(SN)
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| 308 |
-
weight_sparseness: DENSE
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| 309 |
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model.decoder.layers.11.final_layer_norm:
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| 310 |
-
approximation_function: NONE
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| 311 |
-
bias_format: SAME
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| 312 |
-
input_format: SAME
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| 313 |
-
instance: LayerNorm
|
| 314 |
-
output_format: SAME
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| 315 |
-
weight_format: SAME
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| 316 |
-
model.decoder.layers.11.self_attn.dropout:
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| 317 |
-
approximation_function: NONE
|
| 318 |
-
input_format: SAME
|
| 319 |
-
instance: Dropout
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| 320 |
-
output_format: BFP[8|8]{64,-1}(SN)
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| 321 |
-
model.decoder.layers.11.self_attn.k_proj:
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| 322 |
-
accum_format: SAME
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| 323 |
-
approximation_function: NONE
|
| 324 |
-
bias_format: SAME
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| 325 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 326 |
-
instance: Linear
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-
output_format: BFP[8|8]{64,-1}(SN)
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| 328 |
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weight_format: BFP[8|8]{64,-1}(SN)
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| 329 |
-
weight_sparseness: DENSE
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| 330 |
-
model.decoder.layers.11.self_attn.out_proj:
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| 331 |
-
accum_format: SAME
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| 332 |
-
approximation_function: NONE
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| 333 |
-
bias_format: SAME
|
| 334 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 335 |
-
instance: Linear
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| 336 |
-
output_format: SAME
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| 337 |
-
weight_format: BFP[8|8]{64,-1}(SN)
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| 338 |
-
weight_sparseness: DENSE
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| 339 |
-
model.decoder.layers.11.self_attn.q_proj:
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| 340 |
-
accum_format: SAME
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| 341 |
-
approximation_function: NONE
|
| 342 |
-
bias_format: SAME
|
| 343 |
-
input_format: BFP[8|8]{64,-1}(SN)
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| 344 |
-
instance: Linear
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| 345 |
-
output_format: BFP[8|8]{64,-1}(SN)
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| 346 |
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weight_format: BFP[8|8]{64,-1}(SN)
|
| 347 |
-
weight_sparseness: DENSE
|
| 348 |
-
model.decoder.layers.11.self_attn.softmax:
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| 349 |
-
approximation_function: NONE
|
| 350 |
-
input_format: SAME
|
| 351 |
-
instance: Softmax
|
| 352 |
-
output_format: SAME
|
| 353 |
-
model.decoder.layers.11.self_attn.v_proj:
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| 354 |
-
accum_format: SAME
|
| 355 |
-
approximation_function: NONE
|
| 356 |
-
bias_format: SAME
|
| 357 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 358 |
-
instance: Linear
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| 359 |
-
output_format: BFP[8|8]{64,-1}(SN)
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| 360 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 361 |
-
weight_sparseness: DENSE
|
| 362 |
-
model.decoder.layers.11.self_attn_layer_norm:
|
| 363 |
-
approximation_function: NONE
|
| 364 |
-
bias_format: SAME
|
| 365 |
-
input_format: SAME
|
| 366 |
-
instance: LayerNorm
|
| 367 |
-
output_format: SAME
|
| 368 |
-
weight_format: SAME
|
| 369 |
-
model.decoder.layers.2.activation_fn:
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| 370 |
-
approximation_function: NONE
|
| 371 |
-
input_format: SAME
|
| 372 |
-
instance: ReLU
|
| 373 |
-
output_format: SAME
|
| 374 |
-
model.decoder.layers.2.dropout:
|
| 375 |
-
approximation_function: NONE
|
| 376 |
-
input_format: SAME
|
| 377 |
-
instance: Dropout
|
| 378 |
-
output_format: SAME
|
| 379 |
-
model.decoder.layers.2.fc1:
|
| 380 |
-
accum_format: SAME
|
| 381 |
-
approximation_function: NONE
|
| 382 |
-
bias_format: SAME
|
| 383 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 384 |
-
instance: Linear
|
| 385 |
-
output_format: SAME
|
| 386 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 387 |
-
weight_sparseness: DENSE
|
| 388 |
-
model.decoder.layers.2.fc2:
|
| 389 |
-
accum_format: SAME
|
| 390 |
-
approximation_function: NONE
|
| 391 |
-
bias_format: SAME
|
| 392 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 393 |
-
instance: Linear
|
| 394 |
-
output_format: SAME
|
| 395 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 396 |
-
weight_sparseness: DENSE
|
| 397 |
-
model.decoder.layers.2.final_layer_norm:
|
| 398 |
-
approximation_function: NONE
|
| 399 |
-
bias_format: SAME
|
| 400 |
-
input_format: SAME
|
| 401 |
-
instance: LayerNorm
|
| 402 |
-
output_format: SAME
|
| 403 |
-
weight_format: SAME
|
| 404 |
-
model.decoder.layers.2.self_attn.dropout:
|
| 405 |
-
approximation_function: NONE
|
| 406 |
-
input_format: SAME
|
| 407 |
-
instance: Dropout
|
| 408 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 409 |
-
model.decoder.layers.2.self_attn.k_proj:
|
| 410 |
-
accum_format: SAME
|
| 411 |
-
approximation_function: NONE
|
| 412 |
-
bias_format: SAME
|
| 413 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 414 |
-
instance: Linear
|
| 415 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 416 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 417 |
-
weight_sparseness: DENSE
|
| 418 |
-
model.decoder.layers.2.self_attn.out_proj:
|
| 419 |
-
accum_format: SAME
|
| 420 |
-
approximation_function: NONE
|
| 421 |
-
bias_format: SAME
|
| 422 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 423 |
-
instance: Linear
|
| 424 |
-
output_format: SAME
|
| 425 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 426 |
-
weight_sparseness: DENSE
|
| 427 |
-
model.decoder.layers.2.self_attn.q_proj:
|
| 428 |
-
accum_format: SAME
|
| 429 |
-
approximation_function: NONE
|
| 430 |
-
bias_format: SAME
|
| 431 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 432 |
-
instance: Linear
|
| 433 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 434 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 435 |
-
weight_sparseness: DENSE
|
| 436 |
-
model.decoder.layers.2.self_attn.softmax:
|
| 437 |
-
approximation_function: NONE
|
| 438 |
-
input_format: SAME
|
| 439 |
-
instance: Softmax
|
| 440 |
-
output_format: SAME
|
| 441 |
-
model.decoder.layers.2.self_attn.v_proj:
|
| 442 |
-
accum_format: SAME
|
| 443 |
-
approximation_function: NONE
|
| 444 |
-
bias_format: SAME
|
| 445 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 446 |
-
instance: Linear
|
| 447 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 448 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 449 |
-
weight_sparseness: DENSE
|
| 450 |
-
model.decoder.layers.2.self_attn_layer_norm:
|
| 451 |
-
approximation_function: NONE
|
| 452 |
-
bias_format: SAME
|
| 453 |
-
input_format: SAME
|
| 454 |
-
instance: LayerNorm
|
| 455 |
-
output_format: SAME
|
| 456 |
-
weight_format: SAME
|
| 457 |
-
model.decoder.layers.3.activation_fn:
|
| 458 |
-
approximation_function: NONE
|
| 459 |
-
input_format: SAME
|
| 460 |
-
instance: ReLU
|
| 461 |
-
output_format: SAME
|
| 462 |
-
model.decoder.layers.3.dropout:
|
| 463 |
-
approximation_function: NONE
|
| 464 |
-
input_format: SAME
|
| 465 |
-
instance: Dropout
|
| 466 |
-
output_format: SAME
|
| 467 |
-
model.decoder.layers.3.fc1:
|
| 468 |
-
accum_format: SAME
|
| 469 |
-
approximation_function: NONE
|
| 470 |
-
bias_format: SAME
|
| 471 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 472 |
-
instance: Linear
|
| 473 |
-
output_format: SAME
|
| 474 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 475 |
-
weight_sparseness: DENSE
|
| 476 |
-
model.decoder.layers.3.fc2:
|
| 477 |
-
accum_format: SAME
|
| 478 |
-
approximation_function: NONE
|
| 479 |
-
bias_format: SAME
|
| 480 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 481 |
-
instance: Linear
|
| 482 |
-
output_format: SAME
|
| 483 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 484 |
-
weight_sparseness: DENSE
|
| 485 |
-
model.decoder.layers.3.final_layer_norm:
|
| 486 |
-
approximation_function: NONE
|
| 487 |
-
bias_format: SAME
|
| 488 |
-
input_format: SAME
|
| 489 |
-
instance: LayerNorm
|
| 490 |
-
output_format: SAME
|
| 491 |
-
weight_format: SAME
|
| 492 |
-
model.decoder.layers.3.self_attn.dropout:
|
| 493 |
-
approximation_function: NONE
|
| 494 |
-
input_format: SAME
|
| 495 |
-
instance: Dropout
|
| 496 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 497 |
-
model.decoder.layers.3.self_attn.k_proj:
|
| 498 |
-
accum_format: SAME
|
| 499 |
-
approximation_function: NONE
|
| 500 |
-
bias_format: SAME
|
| 501 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 502 |
-
instance: Linear
|
| 503 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 504 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 505 |
-
weight_sparseness: DENSE
|
| 506 |
-
model.decoder.layers.3.self_attn.out_proj:
|
| 507 |
-
accum_format: SAME
|
| 508 |
-
approximation_function: NONE
|
| 509 |
-
bias_format: SAME
|
| 510 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 511 |
-
instance: Linear
|
| 512 |
-
output_format: SAME
|
| 513 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 514 |
-
weight_sparseness: DENSE
|
| 515 |
-
model.decoder.layers.3.self_attn.q_proj:
|
| 516 |
-
accum_format: SAME
|
| 517 |
-
approximation_function: NONE
|
| 518 |
-
bias_format: SAME
|
| 519 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 520 |
-
instance: Linear
|
| 521 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 522 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 523 |
-
weight_sparseness: DENSE
|
| 524 |
-
model.decoder.layers.3.self_attn.softmax:
|
| 525 |
-
approximation_function: NONE
|
| 526 |
-
input_format: SAME
|
| 527 |
-
instance: Softmax
|
| 528 |
-
output_format: SAME
|
| 529 |
-
model.decoder.layers.3.self_attn.v_proj:
|
| 530 |
-
accum_format: SAME
|
| 531 |
-
approximation_function: NONE
|
| 532 |
-
bias_format: SAME
|
| 533 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 534 |
-
instance: Linear
|
| 535 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 536 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 537 |
-
weight_sparseness: DENSE
|
| 538 |
-
model.decoder.layers.3.self_attn_layer_norm:
|
| 539 |
-
approximation_function: NONE
|
| 540 |
-
bias_format: SAME
|
| 541 |
-
input_format: SAME
|
| 542 |
-
instance: LayerNorm
|
| 543 |
-
output_format: SAME
|
| 544 |
-
weight_format: SAME
|
| 545 |
-
model.decoder.layers.4.activation_fn:
|
| 546 |
-
approximation_function: NONE
|
| 547 |
-
input_format: SAME
|
| 548 |
-
instance: ReLU
|
| 549 |
-
output_format: SAME
|
| 550 |
-
model.decoder.layers.4.dropout:
|
| 551 |
-
approximation_function: NONE
|
| 552 |
-
input_format: SAME
|
| 553 |
-
instance: Dropout
|
| 554 |
-
output_format: SAME
|
| 555 |
-
model.decoder.layers.4.fc1:
|
| 556 |
-
accum_format: SAME
|
| 557 |
-
approximation_function: NONE
|
| 558 |
-
bias_format: SAME
|
| 559 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 560 |
-
instance: Linear
|
| 561 |
-
output_format: SAME
|
| 562 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 563 |
-
weight_sparseness: DENSE
|
| 564 |
-
model.decoder.layers.4.fc2:
|
| 565 |
-
accum_format: SAME
|
| 566 |
-
approximation_function: NONE
|
| 567 |
-
bias_format: SAME
|
| 568 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 569 |
-
instance: Linear
|
| 570 |
-
output_format: SAME
|
| 571 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 572 |
-
weight_sparseness: DENSE
|
| 573 |
-
model.decoder.layers.4.final_layer_norm:
|
| 574 |
-
approximation_function: NONE
|
| 575 |
-
bias_format: SAME
|
| 576 |
-
input_format: SAME
|
| 577 |
-
instance: LayerNorm
|
| 578 |
-
output_format: SAME
|
| 579 |
-
weight_format: SAME
|
| 580 |
-
model.decoder.layers.4.self_attn.dropout:
|
| 581 |
-
approximation_function: NONE
|
| 582 |
-
input_format: SAME
|
| 583 |
-
instance: Dropout
|
| 584 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 585 |
-
model.decoder.layers.4.self_attn.k_proj:
|
| 586 |
-
accum_format: SAME
|
| 587 |
-
approximation_function: NONE
|
| 588 |
-
bias_format: SAME
|
| 589 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 590 |
-
instance: Linear
|
| 591 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 592 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 593 |
-
weight_sparseness: DENSE
|
| 594 |
-
model.decoder.layers.4.self_attn.out_proj:
|
| 595 |
-
accum_format: SAME
|
| 596 |
-
approximation_function: NONE
|
| 597 |
-
bias_format: SAME
|
| 598 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 599 |
-
instance: Linear
|
| 600 |
-
output_format: SAME
|
| 601 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 602 |
-
weight_sparseness: DENSE
|
| 603 |
-
model.decoder.layers.4.self_attn.q_proj:
|
| 604 |
-
accum_format: SAME
|
| 605 |
-
approximation_function: NONE
|
| 606 |
-
bias_format: SAME
|
| 607 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 608 |
-
instance: Linear
|
| 609 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 610 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 611 |
-
weight_sparseness: DENSE
|
| 612 |
-
model.decoder.layers.4.self_attn.softmax:
|
| 613 |
-
approximation_function: NONE
|
| 614 |
-
input_format: SAME
|
| 615 |
-
instance: Softmax
|
| 616 |
-
output_format: SAME
|
| 617 |
-
model.decoder.layers.4.self_attn.v_proj:
|
| 618 |
-
accum_format: SAME
|
| 619 |
-
approximation_function: NONE
|
| 620 |
-
bias_format: SAME
|
| 621 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 622 |
-
instance: Linear
|
| 623 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 624 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 625 |
-
weight_sparseness: DENSE
|
| 626 |
-
model.decoder.layers.4.self_attn_layer_norm:
|
| 627 |
-
approximation_function: NONE
|
| 628 |
-
bias_format: SAME
|
| 629 |
-
input_format: SAME
|
| 630 |
-
instance: LayerNorm
|
| 631 |
-
output_format: SAME
|
| 632 |
-
weight_format: SAME
|
| 633 |
-
model.decoder.layers.5.activation_fn:
|
| 634 |
-
approximation_function: NONE
|
| 635 |
-
input_format: SAME
|
| 636 |
-
instance: ReLU
|
| 637 |
-
output_format: SAME
|
| 638 |
-
model.decoder.layers.5.dropout:
|
| 639 |
-
approximation_function: NONE
|
| 640 |
-
input_format: SAME
|
| 641 |
-
instance: Dropout
|
| 642 |
-
output_format: SAME
|
| 643 |
-
model.decoder.layers.5.fc1:
|
| 644 |
-
accum_format: SAME
|
| 645 |
-
approximation_function: NONE
|
| 646 |
-
bias_format: SAME
|
| 647 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 648 |
-
instance: Linear
|
| 649 |
-
output_format: SAME
|
| 650 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 651 |
-
weight_sparseness: DENSE
|
| 652 |
-
model.decoder.layers.5.fc2:
|
| 653 |
-
accum_format: SAME
|
| 654 |
-
approximation_function: NONE
|
| 655 |
-
bias_format: SAME
|
| 656 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 657 |
-
instance: Linear
|
| 658 |
-
output_format: SAME
|
| 659 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 660 |
-
weight_sparseness: DENSE
|
| 661 |
-
model.decoder.layers.5.final_layer_norm:
|
| 662 |
-
approximation_function: NONE
|
| 663 |
-
bias_format: SAME
|
| 664 |
-
input_format: SAME
|
| 665 |
-
instance: LayerNorm
|
| 666 |
-
output_format: SAME
|
| 667 |
-
weight_format: SAME
|
| 668 |
-
model.decoder.layers.5.self_attn.dropout:
|
| 669 |
-
approximation_function: NONE
|
| 670 |
-
input_format: SAME
|
| 671 |
-
instance: Dropout
|
| 672 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 673 |
-
model.decoder.layers.5.self_attn.k_proj:
|
| 674 |
-
accum_format: SAME
|
| 675 |
-
approximation_function: NONE
|
| 676 |
-
bias_format: SAME
|
| 677 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 678 |
-
instance: Linear
|
| 679 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 680 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 681 |
-
weight_sparseness: DENSE
|
| 682 |
-
model.decoder.layers.5.self_attn.out_proj:
|
| 683 |
-
accum_format: SAME
|
| 684 |
-
approximation_function: NONE
|
| 685 |
-
bias_format: SAME
|
| 686 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 687 |
-
instance: Linear
|
| 688 |
-
output_format: SAME
|
| 689 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 690 |
-
weight_sparseness: DENSE
|
| 691 |
-
model.decoder.layers.5.self_attn.q_proj:
|
| 692 |
-
accum_format: SAME
|
| 693 |
-
approximation_function: NONE
|
| 694 |
-
bias_format: SAME
|
| 695 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 696 |
-
instance: Linear
|
| 697 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 698 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 699 |
-
weight_sparseness: DENSE
|
| 700 |
-
model.decoder.layers.5.self_attn.softmax:
|
| 701 |
-
approximation_function: NONE
|
| 702 |
-
input_format: SAME
|
| 703 |
-
instance: Softmax
|
| 704 |
-
output_format: SAME
|
| 705 |
-
model.decoder.layers.5.self_attn.v_proj:
|
| 706 |
-
accum_format: SAME
|
| 707 |
-
approximation_function: NONE
|
| 708 |
-
bias_format: SAME
|
| 709 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 710 |
-
instance: Linear
|
| 711 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 712 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 713 |
-
weight_sparseness: DENSE
|
| 714 |
-
model.decoder.layers.5.self_attn_layer_norm:
|
| 715 |
-
approximation_function: NONE
|
| 716 |
-
bias_format: SAME
|
| 717 |
-
input_format: SAME
|
| 718 |
-
instance: LayerNorm
|
| 719 |
-
output_format: SAME
|
| 720 |
-
weight_format: SAME
|
| 721 |
-
model.decoder.layers.6.activation_fn:
|
| 722 |
-
approximation_function: NONE
|
| 723 |
-
input_format: SAME
|
| 724 |
-
instance: ReLU
|
| 725 |
-
output_format: SAME
|
| 726 |
-
model.decoder.layers.6.dropout:
|
| 727 |
-
approximation_function: NONE
|
| 728 |
-
input_format: SAME
|
| 729 |
-
instance: Dropout
|
| 730 |
-
output_format: SAME
|
| 731 |
-
model.decoder.layers.6.fc1:
|
| 732 |
-
accum_format: SAME
|
| 733 |
-
approximation_function: NONE
|
| 734 |
-
bias_format: SAME
|
| 735 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 736 |
-
instance: Linear
|
| 737 |
-
output_format: SAME
|
| 738 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 739 |
-
weight_sparseness: DENSE
|
| 740 |
-
model.decoder.layers.6.fc2:
|
| 741 |
-
accum_format: SAME
|
| 742 |
-
approximation_function: NONE
|
| 743 |
-
bias_format: SAME
|
| 744 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 745 |
-
instance: Linear
|
| 746 |
-
output_format: SAME
|
| 747 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 748 |
-
weight_sparseness: DENSE
|
| 749 |
-
model.decoder.layers.6.final_layer_norm:
|
| 750 |
-
approximation_function: NONE
|
| 751 |
-
bias_format: SAME
|
| 752 |
-
input_format: SAME
|
| 753 |
-
instance: LayerNorm
|
| 754 |
-
output_format: SAME
|
| 755 |
-
weight_format: SAME
|
| 756 |
-
model.decoder.layers.6.self_attn.dropout:
|
| 757 |
-
approximation_function: NONE
|
| 758 |
-
input_format: SAME
|
| 759 |
-
instance: Dropout
|
| 760 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 761 |
-
model.decoder.layers.6.self_attn.k_proj:
|
| 762 |
-
accum_format: SAME
|
| 763 |
-
approximation_function: NONE
|
| 764 |
-
bias_format: SAME
|
| 765 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 766 |
-
instance: Linear
|
| 767 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 768 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 769 |
-
weight_sparseness: DENSE
|
| 770 |
-
model.decoder.layers.6.self_attn.out_proj:
|
| 771 |
-
accum_format: SAME
|
| 772 |
-
approximation_function: NONE
|
| 773 |
-
bias_format: SAME
|
| 774 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 775 |
-
instance: Linear
|
| 776 |
-
output_format: SAME
|
| 777 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 778 |
-
weight_sparseness: DENSE
|
| 779 |
-
model.decoder.layers.6.self_attn.q_proj:
|
| 780 |
-
accum_format: SAME
|
| 781 |
-
approximation_function: NONE
|
| 782 |
-
bias_format: SAME
|
| 783 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 784 |
-
instance: Linear
|
| 785 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 786 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 787 |
-
weight_sparseness: DENSE
|
| 788 |
-
model.decoder.layers.6.self_attn.softmax:
|
| 789 |
-
approximation_function: NONE
|
| 790 |
-
input_format: SAME
|
| 791 |
-
instance: Softmax
|
| 792 |
-
output_format: SAME
|
| 793 |
-
model.decoder.layers.6.self_attn.v_proj:
|
| 794 |
-
accum_format: SAME
|
| 795 |
-
approximation_function: NONE
|
| 796 |
-
bias_format: SAME
|
| 797 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 798 |
-
instance: Linear
|
| 799 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 800 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 801 |
-
weight_sparseness: DENSE
|
| 802 |
-
model.decoder.layers.6.self_attn_layer_norm:
|
| 803 |
-
approximation_function: NONE
|
| 804 |
-
bias_format: SAME
|
| 805 |
-
input_format: SAME
|
| 806 |
-
instance: LayerNorm
|
| 807 |
-
output_format: SAME
|
| 808 |
-
weight_format: SAME
|
| 809 |
-
model.decoder.layers.7.activation_fn:
|
| 810 |
-
approximation_function: NONE
|
| 811 |
-
input_format: SAME
|
| 812 |
-
instance: ReLU
|
| 813 |
-
output_format: SAME
|
| 814 |
-
model.decoder.layers.7.dropout:
|
| 815 |
-
approximation_function: NONE
|
| 816 |
-
input_format: SAME
|
| 817 |
-
instance: Dropout
|
| 818 |
-
output_format: SAME
|
| 819 |
-
model.decoder.layers.7.fc1:
|
| 820 |
-
accum_format: SAME
|
| 821 |
-
approximation_function: NONE
|
| 822 |
-
bias_format: SAME
|
| 823 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 824 |
-
instance: Linear
|
| 825 |
-
output_format: SAME
|
| 826 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 827 |
-
weight_sparseness: DENSE
|
| 828 |
-
model.decoder.layers.7.fc2:
|
| 829 |
-
accum_format: SAME
|
| 830 |
-
approximation_function: NONE
|
| 831 |
-
bias_format: SAME
|
| 832 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 833 |
-
instance: Linear
|
| 834 |
-
output_format: SAME
|
| 835 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 836 |
-
weight_sparseness: DENSE
|
| 837 |
-
model.decoder.layers.7.final_layer_norm:
|
| 838 |
-
approximation_function: NONE
|
| 839 |
-
bias_format: SAME
|
| 840 |
-
input_format: SAME
|
| 841 |
-
instance: LayerNorm
|
| 842 |
-
output_format: SAME
|
| 843 |
-
weight_format: SAME
|
| 844 |
-
model.decoder.layers.7.self_attn.dropout:
|
| 845 |
-
approximation_function: NONE
|
| 846 |
-
input_format: SAME
|
| 847 |
-
instance: Dropout
|
| 848 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 849 |
-
model.decoder.layers.7.self_attn.k_proj:
|
| 850 |
-
accum_format: SAME
|
| 851 |
-
approximation_function: NONE
|
| 852 |
-
bias_format: SAME
|
| 853 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 854 |
-
instance: Linear
|
| 855 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 856 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 857 |
-
weight_sparseness: DENSE
|
| 858 |
-
model.decoder.layers.7.self_attn.out_proj:
|
| 859 |
-
accum_format: SAME
|
| 860 |
-
approximation_function: NONE
|
| 861 |
-
bias_format: SAME
|
| 862 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 863 |
-
instance: Linear
|
| 864 |
-
output_format: SAME
|
| 865 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 866 |
-
weight_sparseness: DENSE
|
| 867 |
-
model.decoder.layers.7.self_attn.q_proj:
|
| 868 |
-
accum_format: SAME
|
| 869 |
-
approximation_function: NONE
|
| 870 |
-
bias_format: SAME
|
| 871 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 872 |
-
instance: Linear
|
| 873 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 874 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 875 |
-
weight_sparseness: DENSE
|
| 876 |
-
model.decoder.layers.7.self_attn.softmax:
|
| 877 |
-
approximation_function: NONE
|
| 878 |
-
input_format: SAME
|
| 879 |
-
instance: Softmax
|
| 880 |
-
output_format: SAME
|
| 881 |
-
model.decoder.layers.7.self_attn.v_proj:
|
| 882 |
-
accum_format: SAME
|
| 883 |
-
approximation_function: NONE
|
| 884 |
-
bias_format: SAME
|
| 885 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 886 |
-
instance: Linear
|
| 887 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 888 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 889 |
-
weight_sparseness: DENSE
|
| 890 |
-
model.decoder.layers.7.self_attn_layer_norm:
|
| 891 |
-
approximation_function: NONE
|
| 892 |
-
bias_format: SAME
|
| 893 |
-
input_format: SAME
|
| 894 |
-
instance: LayerNorm
|
| 895 |
-
output_format: SAME
|
| 896 |
-
weight_format: SAME
|
| 897 |
-
model.decoder.layers.8.activation_fn:
|
| 898 |
-
approximation_function: NONE
|
| 899 |
-
input_format: SAME
|
| 900 |
-
instance: ReLU
|
| 901 |
-
output_format: SAME
|
| 902 |
-
model.decoder.layers.8.dropout:
|
| 903 |
-
approximation_function: NONE
|
| 904 |
-
input_format: SAME
|
| 905 |
-
instance: Dropout
|
| 906 |
-
output_format: SAME
|
| 907 |
-
model.decoder.layers.8.fc1:
|
| 908 |
-
accum_format: SAME
|
| 909 |
-
approximation_function: NONE
|
| 910 |
-
bias_format: SAME
|
| 911 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 912 |
-
instance: Linear
|
| 913 |
-
output_format: SAME
|
| 914 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 915 |
-
weight_sparseness: DENSE
|
| 916 |
-
model.decoder.layers.8.fc2:
|
| 917 |
-
accum_format: SAME
|
| 918 |
-
approximation_function: NONE
|
| 919 |
-
bias_format: SAME
|
| 920 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 921 |
-
instance: Linear
|
| 922 |
-
output_format: SAME
|
| 923 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 924 |
-
weight_sparseness: DENSE
|
| 925 |
-
model.decoder.layers.8.final_layer_norm:
|
| 926 |
-
approximation_function: NONE
|
| 927 |
-
bias_format: SAME
|
| 928 |
-
input_format: SAME
|
| 929 |
-
instance: LayerNorm
|
| 930 |
-
output_format: SAME
|
| 931 |
-
weight_format: SAME
|
| 932 |
-
model.decoder.layers.8.self_attn.dropout:
|
| 933 |
-
approximation_function: NONE
|
| 934 |
-
input_format: SAME
|
| 935 |
-
instance: Dropout
|
| 936 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 937 |
-
model.decoder.layers.8.self_attn.k_proj:
|
| 938 |
-
accum_format: SAME
|
| 939 |
-
approximation_function: NONE
|
| 940 |
-
bias_format: SAME
|
| 941 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 942 |
-
instance: Linear
|
| 943 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 944 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 945 |
-
weight_sparseness: DENSE
|
| 946 |
-
model.decoder.layers.8.self_attn.out_proj:
|
| 947 |
-
accum_format: SAME
|
| 948 |
-
approximation_function: NONE
|
| 949 |
-
bias_format: SAME
|
| 950 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 951 |
-
instance: Linear
|
| 952 |
-
output_format: SAME
|
| 953 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 954 |
-
weight_sparseness: DENSE
|
| 955 |
-
model.decoder.layers.8.self_attn.q_proj:
|
| 956 |
-
accum_format: SAME
|
| 957 |
-
approximation_function: NONE
|
| 958 |
-
bias_format: SAME
|
| 959 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 960 |
-
instance: Linear
|
| 961 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 962 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 963 |
-
weight_sparseness: DENSE
|
| 964 |
-
model.decoder.layers.8.self_attn.softmax:
|
| 965 |
-
approximation_function: NONE
|
| 966 |
-
input_format: SAME
|
| 967 |
-
instance: Softmax
|
| 968 |
-
output_format: SAME
|
| 969 |
-
model.decoder.layers.8.self_attn.v_proj:
|
| 970 |
-
accum_format: SAME
|
| 971 |
-
approximation_function: NONE
|
| 972 |
-
bias_format: SAME
|
| 973 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 974 |
-
instance: Linear
|
| 975 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 976 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 977 |
-
weight_sparseness: DENSE
|
| 978 |
-
model.decoder.layers.8.self_attn_layer_norm:
|
| 979 |
-
approximation_function: NONE
|
| 980 |
-
bias_format: SAME
|
| 981 |
-
input_format: SAME
|
| 982 |
-
instance: LayerNorm
|
| 983 |
-
output_format: SAME
|
| 984 |
-
weight_format: SAME
|
| 985 |
-
model.decoder.layers.9.activation_fn:
|
| 986 |
-
approximation_function: NONE
|
| 987 |
-
input_format: SAME
|
| 988 |
-
instance: ReLU
|
| 989 |
-
output_format: SAME
|
| 990 |
-
model.decoder.layers.9.dropout:
|
| 991 |
-
approximation_function: NONE
|
| 992 |
-
input_format: SAME
|
| 993 |
-
instance: Dropout
|
| 994 |
-
output_format: SAME
|
| 995 |
-
model.decoder.layers.9.fc1:
|
| 996 |
-
accum_format: SAME
|
| 997 |
-
approximation_function: NONE
|
| 998 |
-
bias_format: SAME
|
| 999 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 1000 |
-
instance: Linear
|
| 1001 |
-
output_format: SAME
|
| 1002 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 1003 |
-
weight_sparseness: DENSE
|
| 1004 |
-
model.decoder.layers.9.fc2:
|
| 1005 |
-
accum_format: SAME
|
| 1006 |
-
approximation_function: NONE
|
| 1007 |
-
bias_format: SAME
|
| 1008 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 1009 |
-
instance: Linear
|
| 1010 |
-
output_format: SAME
|
| 1011 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 1012 |
-
weight_sparseness: DENSE
|
| 1013 |
-
model.decoder.layers.9.final_layer_norm:
|
| 1014 |
-
approximation_function: NONE
|
| 1015 |
-
bias_format: SAME
|
| 1016 |
-
input_format: SAME
|
| 1017 |
-
instance: LayerNorm
|
| 1018 |
-
output_format: SAME
|
| 1019 |
-
weight_format: SAME
|
| 1020 |
-
model.decoder.layers.9.self_attn.dropout:
|
| 1021 |
-
approximation_function: NONE
|
| 1022 |
-
input_format: SAME
|
| 1023 |
-
instance: Dropout
|
| 1024 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 1025 |
-
model.decoder.layers.9.self_attn.k_proj:
|
| 1026 |
-
accum_format: SAME
|
| 1027 |
-
approximation_function: NONE
|
| 1028 |
-
bias_format: SAME
|
| 1029 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 1030 |
-
instance: Linear
|
| 1031 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 1032 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 1033 |
-
weight_sparseness: DENSE
|
| 1034 |
-
model.decoder.layers.9.self_attn.out_proj:
|
| 1035 |
-
accum_format: SAME
|
| 1036 |
-
approximation_function: NONE
|
| 1037 |
-
bias_format: SAME
|
| 1038 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 1039 |
-
instance: Linear
|
| 1040 |
-
output_format: SAME
|
| 1041 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 1042 |
-
weight_sparseness: DENSE
|
| 1043 |
-
model.decoder.layers.9.self_attn.q_proj:
|
| 1044 |
-
accum_format: SAME
|
| 1045 |
-
approximation_function: NONE
|
| 1046 |
-
bias_format: SAME
|
| 1047 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 1048 |
-
instance: Linear
|
| 1049 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 1050 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 1051 |
-
weight_sparseness: DENSE
|
| 1052 |
-
model.decoder.layers.9.self_attn.softmax:
|
| 1053 |
-
approximation_function: NONE
|
| 1054 |
-
input_format: SAME
|
| 1055 |
-
instance: Softmax
|
| 1056 |
-
output_format: SAME
|
| 1057 |
-
model.decoder.layers.9.self_attn.v_proj:
|
| 1058 |
-
accum_format: SAME
|
| 1059 |
-
approximation_function: NONE
|
| 1060 |
-
bias_format: SAME
|
| 1061 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
| 1062 |
-
instance: Linear
|
| 1063 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
| 1064 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
| 1065 |
-
weight_sparseness: DENSE
|
| 1066 |
-
model.decoder.layers.9.self_attn_layer_norm:
|
| 1067 |
-
approximation_function: NONE
|
| 1068 |
-
bias_format: SAME
|
| 1069 |
-
input_format: SAME
|
| 1070 |
-
instance: LayerNorm
|
| 1071 |
-
output_format: SAME
|
| 1072 |
-
weight_format: SAME
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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