replace the unimplemented tensor.mH used to the implemented adjoint, …

…fixed the wrong shape and dtype of return. Now there are somehow numerial difference between return of groundtruth torch.svd and ivy.svd

ivy/functional/frontends/torch/blas_and_lapack_ops.py

@@ -193,15 +193,17 @@ def slogdet(A, *, out=None):
 @to_ivy_arrays_and_back
 def svd(input, some=True, compute_uv=True, *, out=None):
     # TODO: add handling for driver
-    ret = ivy.svd(input, full_matrices=not some, compute_uv=compute_uv)
+    retu = ivy.svd(input, full_matrices=not some, compute_uv=compute_uv)
     results = namedtuple("svd", ['U', 'S', 'V'])
     if compute_uv:
-        ret = results(ret.U, ret.S, ret.Vh.mH)
+        ret = results(retu[0], retu[1], ivy.adjoint(retu[2]))
     else:
-        shape = input.shape
-        m = shape[-2]
-        n = shape[-1]
-        ret = results(ivy.zeros((m,m), device=input.device), ret.S, ivy.zeros((n,n), device=input.device))
+        shape = list(input.shape)
+        shape1 = shape
+        shape2 = shape
+        shape1[-2] = shape[-1]
+        shape2[-1] = shape[-2]
+        ret = results(ivy.zeros(shape1, device=input.device, dtype=input.dtype), retu[0], ivy.zeros(shape2, device=input.device, dtype=input.dtype))
     if ivy.exists(out):
         return ivy.inplace_update(out, ret)
     return ret