ln_in=np.load('./NN_LayerNorm_0_forward_input.0.npy') embed_dim=96 res = torch.nn.LayerNorm(embed_dim)(torch.Tensor(ln_in)).detach().numpy() np.save('torch_data.npy', res) res = ms.nn.LayerNorm((embed_dim,))(ms.Tensor(ln_in)).asnumpy() np.save('ms_data.npy', res)...
decoder_ffn_embed_dim, self.embed_dim) self.layer_norms = nn.ModuleList([LayerNorm(self.embed_dim) for i in range(3)]) Example #12Source File: absa_layer.py From BERT-E2E-ABSA with Apache License 2.0 6 votes def __init__(self, input_size, hidden_size, bidirectional=True): """...
File "F:\ComfyUI_dapaopao\ComfyUI\custom_nodes\comfyui_pulid_flux_ll\eva_clip\model.py", line 281, in __init__ self.visual = _build_vision_tower(embed_dim, vision_cfg, quick_gelu, cast_dtype) ^^^ File "F:\ComfyUI_dapaopao\ComfyUI\custom_nodes\comfyui_pulid_flux_ll\eva_clip\m...
from typing import Union, List import torch batch_size, seq_size, embed_dim = 2, 3, 4 embedding = torch.randn(batch_size, seq_size, embed_dim) print("x: ", embedding) print(embedding.shape) print() layer_norm = torch.nn.LayerNorm(embed_dim, elementwise_affine=False) layer_norm_ou...
classTransformerBlock(nn.Module):def__init__(self,embed_dim,num_heads,feed_forward_dim):super(TransformerBlock,self).__init__()self.attention=nn.MultiheadAttention(embed_dim,num_heads)self.norm1=nn.LayerNorm(embed_dim)self.norm2=nn.LayerNorm(embed_dim)self.feed_forward=nn.Sequential(nn.Li...
可学习参数的shape (1,1,embed_size)*2 (1,1,embed_size)*2 #the annotated transformer中layerNorm代码分析 class LayerNorm(nn.Module):#每个layerNorm对应一套参数 "Construct a layernorm module (See citation for details)." def __init__(self, features, eps=1e-6): #features是可学习参数的维度...
self.projection = RowParallelLinear( self.embed_dim, self.embed_dim, quant_config=quant_config, prefix=f"{prefix}.projection", )self.tp_size = get_tensor_model_parallel_world_size() @@ -235,9 +238,12 @@ def forward(class BlipMLP(nn.Module):def __init__(self, ...
cat(ouput_tensor, dim=0) outputs_path = os.path.join(output_dir, f'output_{i}_{id}.gif') data2file([transforms.ToPILImage('RGB')(utils.make_grid(e.to(torch.float32).cpu(), normalize=True, range=(-1, 1))) for e in ouput_tensor], outputs_path, printable=False, duration=1...
self.visual = _build_vision_tower(embed_dim, vision_cfg, quick_gelu, cast_dtype) ^^^ File "F:\ComfyUI_dapaopao\ComfyUI\custom_nodes\comfyui_pulid_flux_ll\eva_clip\model.py", line 110, in _build_vision_tower visual = EVAVisionTransformer( ^^^ File "F:\ComfyUI_dapaopao\ComfyUI\cus...
self.visual = _build_vision_tower(embed_dim, vision_cfg, quick_gelu, cast_dtype) ^^^ File "F:\ComfyUI_dapaopao\ComfyUI\custom_nodes\comfyui_pulid_flux_ll\eva_clip\model.py", line 110, in _build_vision_tower visual = EVAVisionTransformer( ^^^ File "F:\ComfyUI_dapaopao\ComfyUI\cus...