Fix usage of new .mT to older .transpose()

setup.py

@@ -13,7 +13,7 @@
 setup(
     name="torch-hd",  # use torch-hd on PyPi to install torchhd, torchhd is too similar according to PyPi
     version=version["__version__"],
-    description="Torchhd is a Python library for Hyperdimensional Computing",
+    description="Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures",
     long_description=open("README.md").read(),
     long_description_content_type="text/markdown",
     url="https://github.com/hyperdimensional-computing/torchhd",

torchhd/functional.py

@@ -1562,7 +1562,7 @@ def resonator(input: VSATensor, estimates: VSATensor, domains: VSATensor) -> VSA
     new_estimates = bind(input.unsqueeze(-2), inv_others)
 
     similarity = dot_similarity(new_estimates.unsqueeze(-2), domains)
-    output = dot_similarity(similarity, domains.mT).squeeze(-2)
+    output = dot_similarity(similarity, domains.transpose(-2, -1)).squeeze(-2)
 
     # normalize the output vector with a non-linearity
     return output.sign()
@@ -1591,7 +1591,11 @@ def ridge_regression(
 
     variance = alpha * torch.diag(torch.var(samples, -2))
 
-    return labels.mT @ samples @ torch.linalg.pinv(samples.mT @ samples + variance)
+    return (
+        labels.transpose(-2, -1)
+        @ samples
+        @ torch.linalg.pinv(samples.transpose(-2, -1) @ samples + variance)
+    )
 
 
 def map_range(

torchhd/tensors/bsc.py

@@ -438,7 +438,7 @@ def dot_similarity(self, others: "BSCTensor") -> Tensor:
         others_as_bipolar = torch.where(others.bool(), min_one, plus_one)
 
         if others.dim() >= 2:
-            others_as_bipolar = others_as_bipolar.mT
+            others_as_bipolar = others_as_bipolar.transpose(-2, -1)
         return torch.matmul(self_as_bipolar, others_as_bipolar)
 
     def cosine_similarity(self, others: "BSCTensor") -> Tensor:

torchhd/tensors/fhrr.py

@@ -378,7 +378,7 @@ def permute(self, shifts: int = 1) -> "FHRRTensor":
     def dot_similarity(self, others: "FHRRTensor") -> Tensor:
         """Inner product with other hypervectors"""
         if others.dim() >= 2:
-            others = others.mT
+            others = others.transpose(-2, -1)
         return torch.real(torch.matmul(self, torch.conj(others)))
 
     def cosine_similarity(self, others: "FHRRTensor", *, eps=1e-08) -> Tensor:

torchhd/tensors/hrr.py

@@ -365,7 +365,7 @@ def permute(self, shifts: int = 1) -> "HRRTensor":
     def dot_similarity(self, others: "HRRTensor") -> Tensor:
         """Inner product with other hypervectors"""
         if others.dim() >= 2:
-            others = others.mT
+            others = others.transpose(-2, -1)
         return torch.matmul(self, others)
 
     def cosine_similarity(self, others: "HRRTensor", *, eps=1e-08) -> Tensor:

torchhd/tensors/map.py

@@ -344,7 +344,7 @@ def dot_similarity(self, others: "MAPTensor") -> Tensor:
         """Inner product with other hypervectors"""
         dtype = torch.get_default_dtype()
         if others.dim() >= 2:
-            others = others.mT
+            others = others.transpose(-2, -1)
         return torch.matmul(self.to(dtype), others.to(dtype))
 
     def cosine_similarity(self, others: "MAPTensor", *, eps=1e-08) -> Tensor: