last:

in the case, will bias will be included in the weights(kernel) when bias is set to “True” in Convolution/ Transpose Convolution ? or
will the bias be added to output value when bias is set to “True”


The bias will be added after a filters were applied to the input.



 last:

About the inltialization of weights, i saw that nn.init.uniform_ is used in one case and nn.init.xavier_uniform_ is used in other case.
is there any particular standard for the initialization?


The default initializations are mentioned in the docs for the corresponding layer and are defined in the reset_parameters() method. Depending on your model, use case etc., you might want to change these init methods.



 last:

in the linear layer, how can i adjust the size of weights, including bias?


nn.Linear expects the in_features and out_features arguments, which define the shape of the weight and bias parameters.