FROM nvcr.io/nvidia/pytorch:23.12-py3 RUN pip uninstall -y causal-conv1d triton && \ pip install causal-conv1d==1.2.2.post1 sentencepiece==0.1.99 triton==2.1.0 flask-restful WORKDIR /tmp RUN git clone https://g
# pytorch uses additive attention mask; fill with -inf mask = torch.empty(self.context_length, self.context_length) mask.fill_(float("-inf")) mask.triu_(1) # zero out the lower diagonal return mask def forward(self, text, mask=None): x = self.token_embedding(text).type(self.dtype...
#@tab pytorch from d2l import torch as d2l import torch ``` ```{.python .input} #@tab mxnet, pytorch def corr2d_multi_in(X, K): # First, iterate through the 0th dimension (channel dimension) of `X` and # `K`. Then, add them together return sum(d2l.corr2d(x, k) for x,...
# Convert old format to new format if needed from a PyTorch state_dict old_keys = [] new_keys = [] renamed_keys = {} renamed_gamma = {} renamed_beta = {} warning_msg = f"A pretrained model of type `{model_to_load.__class__.__name__}` " for key in state_dict...
We initialize a Pytorch Sparse Matrix type Delta and then add then delta and store that sparse delta directly: import torch N = 1000 # this is the number of tokens in the vocabulary K = 512 # this is the dimension of the embeddings T = 10 # number of tokens we want to let trainable...
# In PyTorch, the following two tensors are in fact the same: # Tensor with shape (1, S, H, D) and stride (S*H*D, H*D, D, 1) # Tensor with shape (1, S, H, D) and stride (H*D, H*D, D, 1) # Stride for a dimension that is 1 has no meaning, so tensors create...
The PyTorch team who created a super powerful framework, on which the rest of the software was based, and who were very supportive to us during the preparation for the training, fixing multiple bugs and improving the usability of the PyTorch components we relied on during the training....
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - Add RemBERT model code to huggingface (#10692) · huggingface/transformers@434022a
frompytorch3d.rendererimport( RasterizationSettings, MeshRasterizer, ) defget_vtx_prop_on_2d(pix_to_face,vtx_prop,mesh): ''' pix_to_face: output of rasterization vtx_prop: some property on the vertices mesh: open3d mesh TODO: supports only scalar values on pixels ...
return_tensors="pt", ) negative_prompt_attention_mask = uncond_input.attention_mask negative_prompt_attention_mask = negative_prompt_attention_mask.to(device)negative_prompt_embeds = self.text_encoder( uncond_input.input_ids.to(device), attention_mask=negative_prompt_attention_mask ...