raise ValueError("When not reduce the results, adding bias to the " "results can lead to incorrect results") # Parameters. # Note: torch.nn.functional.linear performs XA^T + b and as a result # we allocate the transpose. # Initialize weight. if use_cpu_initialization: self.weight = Pa...
Open draw-svg/CS248/docs/html/index.html with a browser to see documentation of many utility classes, especially the ones related to vectors and matrices. Be careful with memory allocation, as frequent heap allocations can severely reduce rendering performance. Be careful with types (e.g. float...
assign statement specifies that the lower eighteen bits of t are put into the offset field. The very first assign statement directly specifies the value of the offsets4operand as a concatenation of offset and fourteen replications of its sign bit (bit17) followed by a shift-left of two ...
are used to effectively reduce memory consumption and improve training efficiency. microsoft GPT-4-LLM en/zh LLaMA aims to share data generated by GPT-4 for building an instruction-following LLMs with supervised learning and reinforcement learning. Hugging Face StackLLaMA en LLaMA trained on StackExc...
raise ValueError("When not reduce the results, adding bias to the " "results can lead to incorrect results") # Parameters. # Note: torch.nn.functional.linear performs XA^T + b and as a result # we allocate the transpose. # Initialize weight. if use_cpu_initialization: self.weight = Pa...
if not reduce_results and (bias and not skip_bias_add): raise ValueError("When not reduce the results, adding bias to the " "results can lead to incorrect results") # Parameters. # Note: torch.nn.functional.linear performs XA^T + b and as a result # we allocate the transpose. # ...
if not reduce_results and (bias and not skip_bias_add): raise ValueError("When not reduce the results, adding bias to the " "results can lead to incorrect results") # Parameters. # Note: torch.nn.functional.linear performs XA^T + b and as a result # we allocate the transpose. # ...
raise ValueError("When not reduce the results, adding bias to the " "results can lead to incorrect results") # Parameters. # Note: torch.nn.functional.linear performs XA^T + b and as a result # we allocate the transpose. # Initialize weight. if use_cpu_initialization: self.weight = Pa...