[MLIR] Fix typo of the word "pattern" in CAPI and docs

mlir/docs/Canonicalization.md

@@ -55,7 +55,7 @@ Some important things to think about w.r.t. canonicalization patterns:
 *   It is always good to eliminate operations entirely when possible, e.g. by
     folding known identities (like "x + 0 = x").
 
-*   Pattens with expensive running time (i.e. have O(n) complexity) or
+*   Patterns with expensive running time (i.e. have O(n) complexity) or
     complicated cost models don't belong to canonicalization: since the
     algorithm is executed iteratively until fixed-point we want patterns that
     execute quickly (in particular their matching phase).

mlir/include/mlir-c/Rewrite.h

@@ -352,7 +352,7 @@ typedef struct {
 
 /// Create a rewrite pattern that matches the operation
 /// with the given rootName, corresponding to mlir::OpRewritePattern.
-MLIR_CAPI_EXPORTED MlirRewritePattern mlirOpRewritePattenCreate(
+MLIR_CAPI_EXPORTED MlirRewritePattern mlirOpRewritePatternCreate(
     MlirStringRef rootName, unsigned benefit, MlirContext context,
     MlirRewritePatternCallbacks callbacks, void *userData,
     size_t nGeneratedNames, MlirStringRef *generatedNames);

mlir/lib/Bindings/Python/Rewrite.cpp

@@ -205,7 +205,7 @@ class PyRewritePatternSet {
       nb::object res = f(opView, PyPatternRewriter(rewriter));
       return logicalResultFromObject(res);
     };
-    MlirRewritePattern pattern = mlirOpRewritePattenCreate(
+    MlirRewritePattern pattern = mlirOpRewritePatternCreate(
         rootName, benefit, ctx, callbacks, matchAndRewrite.ptr(),
         /* nGeneratedNames */ 0,
         /* generatedNames */ nullptr);

mlir/lib/CAPI/Transforms/Rewrite.cpp

@@ -341,7 +341,7 @@ class ExternalRewritePattern : public mlir::RewritePattern {
 
 } // namespace mlir
 
-MlirRewritePattern mlirOpRewritePattenCreate(
+MlirRewritePattern mlirOpRewritePatternCreate(
     MlirStringRef rootName, unsigned benefit, MlirContext context,
     MlirRewritePatternCallbacks callbacks, void *userData,
     size_t nGeneratedNames, MlirStringRef *generatedNames) {

mlir/lib/Dialect/MemRef/Transforms/EmulateWideInt.cpp

@@ -121,7 +121,7 @@ struct EmulateWideIntPass final
         [&typeConverter](Operation *op) { return typeConverter.isLegal(op); });
 
     RewritePatternSet patterns(ctx);
-    // Add common pattenrs to support contants, functions, etc.
+    // Add common patterns to support contants, functions, etc.
     arith::populateArithWideIntEmulationPatterns(typeConverter, patterns);
 
     memref::populateMemRefWideIntEmulationPatterns(typeConverter, patterns);

mlir/lib/Dialect/Vector/Utils/VectorUtils.cpp

@@ -91,7 +91,7 @@ mlir::vector::isTranspose2DSlice(vector::TransposeOp op) {
 
   // Check whether the two source vector dimensions that are greater than one
   // must be transposed with each other so that we can apply one of the 2-D
-  // transpose pattens. Otherwise, these patterns are not applicable.
+  // transpose patterns. Otherwise, these patterns are not applicable.
   if (!areDimsTransposedIn2DSlice(srcGtOneDims[0], srcGtOneDims[1],
                                   op.getPermutation()))
     return failure();