[DOCS] Fix spelling (#664)

This PR applies minor spelling fix in comments and string literals to
`master`. It shouldn't hurt anything.

python/tutorials/02-fused-softmax.py

@@ -78,7 +78,7 @@ def softmax_kernel(
     input_ptrs = row_start_ptr + col_offsets
     # Load the row into SRAM, using a mask since BLOCK_SIZE may be > than n_cols
     row = tl.load(input_ptrs, mask=col_offsets < n_cols, other=-float('inf'))
-    # Substract maximum for numerical stability
+    # Subtract maximum for numerical stability
     row_minus_max = row - tl.max(row, axis=0)
     # Note that exponentials in Triton are fast but approximate (i.e., think __expf in CUDA)
     numerator = tl.exp(row_minus_max)

python/tutorials/03-matrix-multiplication.py

@@ -18,7 +18,7 @@ You will specifically learn about:
 # They are notoriously hard to optimize, hence their implementation is generally done by
 # hardware vendors themselves as part of so-called "kernel libraries" (e.g., cuBLAS).
 # Unfortunately, these libraries are often proprietary and cannot be easily customized
-# to accomodate the needs of modern deep learning workloads (e.g., fused activation functions).
+# to accommodate the needs of modern deep learning workloads (e.g., fused activation functions).
 # In this tutorial, you will learn how to implement efficient matrix multiplications by
 # yourself with Triton, in a way that is easy to customize and extend.
 #