The function takes two input arguments, 'ar1' and 'ar2', which are NumPy arrays. A try block is used to attempt adding 'ar1' and 'ar2' element-wise using the + operator. If the dimensions of the arrays are compatible for addition, the operation will be executed without any issues. ...
Python - Numpy fast check for complete array equality, Numpy fast check for complete array equality, like Matlabs isequal. In Matlab, the builtin isequal does a check if two arrays are equal. If they are not equal, this might be very fast, as the implementation presumably stops checking ...
Getting the python librariesIf you are using your own computer, make sure the Python libraries scipy, numpy, matplotliband pillow are installed. These libraries are installed by default with the Anaconda pythondistribution. It is recommended that you use a suitable IDE for your project, such as ...
# Only get the RLModule weights (as numpy arrays). module_state = learner.get_module_state() learner.module.set_state(module_state) # Only get the RLModule weights (as numpy, not torch/tf). rl_module_only_state = learner.get_state(components=COMPONENT_RL_MODULE) # Note that `rl_modu...
pvalue = pvalue[()] if pvalue.ndim == 0 else pvalue everywhere while we convert so that we better align with NumPy on returning scalars. I consider further blurring the line between scalars and 0d arrays to be actively detrimental. We should getbetterat this, not worse. ...