reviewer feedback

Author: aartbik

docs_input/api/linalg/matvec/matmul.rst

@@ -13,7 +13,7 @@ is supported for any tensor with a rank higher than 2.
 .. doxygenfunction:: matmul(const OpA &A, const OpB &B, float alpha = 1.0, float beta = 0.0)
 .. doxygenfunction:: matmul(const OpA &A, const OpB &B, const int32_t (&axis)[2], float alpha = 1.0, float beta = 0.0)
 
-For information on experimental sparse tensor support for SpMM, please see :ref:`_sparse_tensor_api`.
+For information on experimental sparse tensor support for Sparse-Matrix x Matrix (SpMM), please see :ref:`_sparse_tensor_api`.
 
 Examples
 ~~~~~~~~

docs_input/basics/sparse_tensor.rst

@@ -91,8 +91,8 @@ operations for sparse-to-dense, dense-to-sparse, matmul, and solve::
 
    (A = sparse2dense(Acoo)).run(exec);
    (Acoo = dense2sparse(D)).run(exec);   
-   (C = matmul(Acoo, B)).run(exec);    // SpMM only
-   (X = solve(Acsr, Y)).run(exec);     // on CSR only
+   (C = matmul(Acoo, B)).run(exec);    // Sparse-Matrix x Matrix (SpMM) only
+   (X = solve(Acsr, Y)).run(exec);     // on CSR format only
 
 We expect the assortment of supported sparse operations and storage
 formats to grow if the experimental implementation is well-received.
@@ -173,8 +173,8 @@ where the tensor format ``TF`` is part of the template::
     StorageP positions_[LVL];
   }
 
-Using this design, many tests (e.g. is this tensor in COO format) can
-already be evaluate as ``constexpr`` at compile-time, keeping the binary
+Using this design, many tests (e.g. is this tensor in COO format) 
+evaluate as ``constexpr`` at compile-time, keeping the binary
 size restricted to only what is actually used in a MatX computation.