[Mlir-commits] [mlir] [mlir][vector] Add support for unrolling vector.bitcast ops. (PR #94064)
Han-Chung Wang
llvmlistbot at llvm.org
Mon Jun 3 11:32:36 PDT 2024
================
@@ -0,0 +1,94 @@
+//===- LowerVectorBitCast.cpp - Lower 'vector.bitcast' operation ----------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// This file implements target-independent rewrites and utilities to lower the
+// 'vector.bitcast' operation.
+//
+//===----------------------------------------------------------------------===//
+
+#include "mlir/Dialect/Vector/IR/VectorOps.h"
+#include "mlir/Dialect/Vector/Transforms/LoweringPatterns.h"
+#include "mlir/Dialect/Vector/Utils/VectorUtils.h"
+#include "mlir/IR/BuiltinTypes.h"
+#include "mlir/IR/PatternMatch.h"
+#include "mlir/Support/LogicalResult.h"
+
+#define DEBUG_TYPE "vector-bitcast-lowering"
+
+using namespace mlir;
+using namespace mlir::vector;
+
+namespace {
+
+/// A one-shot unrolling of vector.bitcast to the `targetRank`.
+///
+/// Example:
+///
+/// vector.bitcast %a, %b : vector<1x2x3x4xi64> to vector<1x2x3x8xi32>
+///
+/// Would be unrolled to:
+///
+/// %result = arith.constant dense<0> : vector<1x2x3x8xi32>
+/// %0 = vector.extract %a[0, 0, 0] ─┐
+/// : vector<4xi64> from vector<1x2x3x4xi64> |
+/// %1 = vector.bitcast %0 | - Repeated 6x for
+/// : vector<4xi64> to vector<8xi32> | all leading positions
+/// %2 = vector.insert %1, %result [0, 0, 0] |
+/// : vector<8xi64> into vector<1x2x3x8xi32> ─┘
----------------
hanhanW wrote:
> Since this pattern is added to VectorToLLVM with default targetRank = 1, isn't this potentially a pessimization for programs that use vector.bitcast with shapes where the inner-most dimension's size in bits is smaller than the target SIMD vector size in bit?
This kind of operation should be handled by OptimizeVectorShape pass. We have many things done for unit dims, to get rid of the issue you mentioned, and we are making progress on vector flattening: https://github.com/iree-org/iree/pull/17530 We have some patterns to flatten/linearize vectors, which are expected to be run before unrolling: https://github.com/llvm/llvm-project/blob/main/mlir/test/Dialect/Vector/linearize.mlir
The unrolling pattern is more like complement of llvm e2e lowering story. Sad to say that, this op was added 4 years ago, and nobody is using it until 2024.
https://github.com/llvm/llvm-project/pull/94064
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