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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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instance: Linear
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output_format: SAME
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weight_format: SAME
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weight_sparseness: DENSE
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model.decoder.final_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.0.activation_fn:
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approximation_function: NONE
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input_format: SAME
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instance: ReLU
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output_format: SAME
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model.decoder.layers.0.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: SAME
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model.decoder.layers.0.fc1:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.0.fc2:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.0.final_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.0.self_attn.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: BFP[8|8]{64,-1}(SN)
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model.decoder.layers.0.self_attn.k_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.0.self_attn.out_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.0.self_attn.q_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.0.self_attn.softmax:
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approximation_function: NONE
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input_format: SAME
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instance: Softmax
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output_format: SAME
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model.decoder.layers.0.self_attn.v_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.0.self_attn_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.1.activation_fn:
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approximation_function: NONE
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input_format: SAME
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instance: ReLU
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output_format: SAME
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model.decoder.layers.1.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: SAME
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model.decoder.layers.1.fc1:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.1.fc2:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.1.final_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.1.self_attn.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: BFP[8|8]{64,-1}(SN)
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model.decoder.layers.1.self_attn.k_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.1.self_attn.out_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.1.self_attn.q_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.1.self_attn.softmax:
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approximation_function: NONE
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input_format: SAME
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instance: Softmax
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output_format: SAME
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model.decoder.layers.1.self_attn.v_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.1.self_attn_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.10.activation_fn:
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approximation_function: NONE
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input_format: SAME
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instance: ReLU
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output_format: SAME
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model.decoder.layers.10.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: SAME
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model.decoder.layers.10.fc1:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.10.fc2:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.10.final_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.10.self_attn.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: BFP[8|8]{64,-1}(SN)
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model.decoder.layers.10.self_attn.k_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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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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bias_format: SAME
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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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weight_sparseness: DENSE
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model.decoder.layers.10.self_attn.q_proj:
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accum_format: SAME
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approximation_function: NONE
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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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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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weight_sparseness: DENSE
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model.decoder.layers.10.self_attn.softmax:
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approximation_function: NONE
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input_format: SAME
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instance: Softmax
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output_format: SAME
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model.decoder.layers.10.self_attn.v_proj:
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accum_format: SAME
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approximation_function: NONE
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bias_format: SAME
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input_format: BFP[8|8]{64,-1}(SN)
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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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weight_sparseness: DENSE
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model.decoder.layers.10.self_attn_layer_norm:
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approximation_function: NONE
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bias_format: SAME
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input_format: SAME
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instance: LayerNorm
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output_format: SAME
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weight_format: SAME
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model.decoder.layers.11.activation_fn:
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approximation_function: NONE
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input_format: SAME
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instance: ReLU
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output_format: SAME
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model.decoder.layers.11.dropout:
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approximation_function: NONE
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input_format: SAME
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instance: Dropout
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output_format: SAME
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model.decoder.layers.11.fc1:
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accum_format: SAME
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approximation_function: NONE
|
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-
bias_format: SAME
|
295 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
296 |
-
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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weight_sparseness: DENSE
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model.decoder.layers.11.fc2:
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accum_format: SAME
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approximation_function: NONE
|
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-
bias_format: SAME
|
304 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
305 |
-
instance: Linear
|
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-
output_format: SAME
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-
weight_format: BFP[8|8]{64,-1}(SN)
|
308 |
-
weight_sparseness: DENSE
|
309 |
-
model.decoder.layers.11.final_layer_norm:
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310 |
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approximation_function: NONE
|
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-
bias_format: SAME
|
312 |
-
input_format: SAME
|
313 |
-
instance: LayerNorm
|
314 |
-
output_format: SAME
|
315 |
-
weight_format: SAME
|
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-
model.decoder.layers.11.self_attn.dropout:
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317 |
-
approximation_function: NONE
|
318 |
-
input_format: SAME
|
319 |
-
instance: Dropout
|
320 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
321 |
-
model.decoder.layers.11.self_attn.k_proj:
|
322 |
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accum_format: SAME
|
323 |
-
approximation_function: NONE
|
324 |
-
bias_format: SAME
|
325 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
326 |
-
instance: Linear
|
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output_format: BFP[8|8]{64,-1}(SN)
|
328 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
329 |
-
weight_sparseness: DENSE
|
330 |
-
model.decoder.layers.11.self_attn.out_proj:
|
331 |
-
accum_format: SAME
|
332 |
-
approximation_function: NONE
|
333 |
-
bias_format: SAME
|
334 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
335 |
-
instance: Linear
|
336 |
-
output_format: SAME
|
337 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
338 |
-
weight_sparseness: DENSE
|
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-
model.decoder.layers.11.self_attn.q_proj:
|
340 |
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accum_format: SAME
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341 |
-
approximation_function: NONE
|
342 |
-
bias_format: SAME
|
343 |
-
input_format: BFP[8|8]{64,-1}(SN)
|
344 |
-
instance: Linear
|
345 |
-
output_format: BFP[8|8]{64,-1}(SN)
|
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:
|
349 |
-
approximation_function: NONE
|
350 |
-
input_format: SAME
|
351 |
-
instance: Softmax
|
352 |
-
output_format: SAME
|
353 |
-
model.decoder.layers.11.self_attn.v_proj:
|
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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-
output_format: BFP[8|8]{64,-1}(SN)
|
360 |
-
weight_format: BFP[8|8]{64,-1}(SN)
|
361 |
-
weight_sparseness: DENSE
|
362 |
-
model.decoder.layers.11.self_attn_layer_norm:
|
363 |
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approximation_function: NONE
|
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-
bias_format: SAME
|
365 |
-
input_format: SAME
|
366 |
-
instance: LayerNorm
|
367 |
-
output_format: SAME
|
368 |
-
weight_format: SAME
|
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model.decoder.layers.2.activation_fn:
|
370 |
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approximation_function: NONE
|
371 |
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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 |
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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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