Remove asserts in CGR/MCR classes

No need to check block size in CGR/MCR functions as the
__torch_function__() in BaseMCRTensor already checks it.

Author: Zeldax64

torchhd/tensors/basemcr.py

@@ -255,7 +255,6 @@ def bind(self, other: "BaseMCRTensor") -> "BaseMCRTensor":
             BaseMCRTensor([ 0, 27, 61, 21,  0, 38,  0, 13, 39, 18])
 
         """
-        assert self.block_size == other.block_size
         return torch.remainder(torch.add(self, other), self.block_size)
 
     def multibind(self) -> "BaseMCRTensor":

torchhd/tensors/cgr.py

@@ -61,8 +61,6 @@ def bundle(self, other: "CGRTensor") -> "CGRTensor":
             CGRTensor([32, 26, 39, 22, 27, 60,  2,  4, 40,  5])
 
         """
-        assert self.block_size == other.block_size
-
         # Ensure hypervectors are in the same shape, i.e., [..., 1, DIM]
         t1 = self
         if t1.dim() == 1:
@@ -83,7 +81,6 @@ def bundle(self, other: "CGRTensor") -> "CGRTensor":
 
     def multibundle(self) -> "CGRTensor":
         """Bundle multiple hypervectors"""
-
         # The use of torch.mode() makes untying deterministic as it always
         # returns the lowest index among the ties. For example, if there is an
         # equal number amount of 0s and 1s in a bundle, 0 is returned.

torchhd/tensors/mcr.py

@@ -62,8 +62,6 @@ def bundle(self, other: "MCRTensor") -> "MCRTensor":
             MCRTensor([32, 26, 39, 54, 27, 60,  2,  4, 40,  5])
 
         """
-        assert self.block_size == other.block_size
-
         self_phasor = self.to_complex_unit()
         other_phasor = other.to_complex_unit()