0 Custom weight initialisation causing error - pytorch 0 How can I make a filter in pytorch conv2d 1 How PyTorch model layer weights get initialized implicitly? 0 How to initialise (and check sanity) weights efficiently of layers within complex (nested) modules in PyTorch? 0 How can I ...
2 Why is evaluation set draining the memory in pytorch hugging face? 2 Huggingface - Pipeline with a fine-tuned pre-trained model errors Related 0 Pytorch error: TypeError: adaptive_avg_pool3d(): argument 'output_size' (position 2) must be tuple of ints, not list 1 OOM err...
self.dense = RowParallelLinear( self.num_heads * self.head_dim, self.hidden_size, bias=True, quant_config=quant_config, ) self.is_qk_layernorm = config.qk_layernormif self.is_qk_layernorm: self.q_layernorm = nn.LayerNorm(self.head_dim) ...
## takes in a module and applies the specified weight initialization def weights_init_normal(m): '''Takes in a module and initializes all linear layers with weight values taken from a normal distribution.''' classname = m.__class__.__name__ # for every Linear layer in a model if cl...
Why should we initialize layers, when PyTorch can do that following the latest trends? For instance, the Linear layer's __init__ method will do Kaiming He initialization: init.kaiming_uniform_(self.weight, a=math.sqrt(5)) if self.bias is not None: fan_in, _ = init._calculate_fan_...
Why should we initialize layers, when PyTorch can do that following the latest trends? For instance, the Linear layer's __init__ method will do Kaiming He initialization: init.kaiming_uniform_(self.weight, a=math.sqrt(5)) if self.bias is not None: fan_in, _ = init._calculate_fan_...
Why should we initialize layers, when PyTorch can do that following the latest trends? For instance, the Linear layer's __init__ method will do Kaiming He initialization: init.kaiming_uniform_(self.weight, a=math.sqrt(5)) if self.bias is not None: fan_in, _ = init._calculate_fan_...