Revert "Revert "[LAYOUTS] Implement IR support for LinearLayouts (#5170)""

include/triton/Dialect/TritonGPU/IR/Dialect.h

@@ -149,6 +149,71 @@ triton::gpu::BlockedEncodingAttr
 getDefaultBlockedEncoding(MLIRContext *context, ArrayRef<int64_t> shape,
                           int numWarps, int threadsPerWarp, int numCTAs);
 
+// For each output dimension d, ensure that the layout's output size (i.e., its
+// codomain) does not exceed shape[d]. Do this without changing the size of the
+// layout's inputs (i.e., leave its domain unchanged).
+//
+// This function is invariant to the order of the layout's input and output
+// dimensions.
+//
+// We achieve this by setting the largest value in each output dimension d to 0
+// because bases that map to a location larger than shape[d]
+// effectively duplicate along that dimension.  For example, consider a layout
+// with an output dimension size of 32, and we call ensureLayoutNotLargerThan to
+// shrink the output dimension size to 8:
+//
+//   L(register=1) = 8
+//   L(register=2) = 4
+//   L(register=4) = 1
+//   L(lane=1) = 2
+//   L(lane=2) = 16
+//
+// In the first step, we shrink the output dimension size to 16 by setting
+// L(lane=2) to 0:
+//
+//   L(register=1) = 8
+//   L(register=2) = 4
+//   L(register=4) = 1
+//   L(lane=1) = 2
+//   L(lane=2) = 0
+//
+// This means that lane=2 has the same data as lane=0.
+//
+// Now the output dimension of this layout has a size of 16, which is still
+// larger than 8.  We find the current largest value in the output dimension,
+// which is L(register=1) = 8, and we set L(register=1) to 0:
+//
+//   L(register=1) = 0
+//   L(register=2) = 4
+//   L(register=4) = 1
+//   L(lane=1) = 2
+//   L(lane=2) = 0
+//
+// Now the output dimension of this layout has a size of 8, which is the desired
+// size.  Note that this method works only because the bases are powers of two,
+// which is the case for DistributedLayouts If broadcastRegisters is false, we
+// remove any register that's larger than the desired shape. In the example
+// above we would have
+//   L(register=1) = 4
+//   L(register=2) = 1
+//   L(lane=1) = 2
+//   L(lane=2) = 0
+LinearLayout
+ensureLayoutNotLargerThan(const LinearLayout &layout,
+                          const llvm::SmallDenseMap<StringAttr, int64_t> &shape,
+                          bool broadcastRegisters = true);
+
+// For each out-dim d, ensure the layout's out-size (i.e. its codomain) is no
+// smaller than shape[d].  Do this by increasing the size of the layout's inputs
+// along its most-minor dimension ("register" for register layouts, "offset" for
+// shared layouts).
+//
+// This function is invariant to the order of the layout's input dimensions, but
+// it cares about the order of the output dims, which should be minor-to-major.
+LinearLayout ensureLayoutNotSmallerThan(
+    const LinearLayout &layout,
+    const llvm::SmallDenseMap<StringAttr, int64_t> &shape);
+
 // Dump information about which threads/registers contain each of the tensor
 // elements.
 void dumpLayout(RankedTensorType tensorType);

include/triton/Dialect/TritonGPU/IR/TritonGPUAttrDefs.td

@@ -56,7 +56,6 @@ Right now, Triton implements two main classes of layouts: shared, and distribute
   code extraBaseClassDeclaration = [{
     unsigned getTotalElemsPerThread(ArrayRef<int64_t> shape, Type eltTy) const;
     SmallVector<unsigned> getElemsPerThread(ArrayRef<int64_t> shape, Type eltTy) const;
-    ::mlir::LogicalResult verifyLayoutForArg(::mlir::Operation* op, unsigned argNo) const;
   }];
 }
 
@@ -147,7 +146,6 @@ addition, if there's only one CTA per CGA, then Triton canonicalizes CTAOrder to
   let genVerifyDecl = 1;
   let skipDefaultBuilders = 1;
 }
-
 //===----------------------------------------------------------------------===//
 // Shared Layout Encoding
 //===----------------------------------------------------------------------===//
@@ -565,6 +563,34 @@ L(T) = [ {0,8} , {1,9} , {2,10}, {3,11}, {0,8} , {1, 9} , {2, 10}, {3, 11},
   }];
 }
 
+//===----------------------------------------------------------------------===//
+// Linear Layout Encoding
+//===----------------------------------------------------------------------===//
+
+def LinearEncodingAttr : DistributedEncoding<"LinearEncoding", "linear_encoding"> {
+  let mnemonic = "linear";
+
+  let description = [{
+    See the docs in LinearLayout.h for the definition of linear layouts.
+  }];
+
+  let parameters = (ins "LinearLayout":$linearLayout);
+
+  let extraClassDeclaration = extraDistributedDeclaration # [{
+    SmallVector<unsigned> getContigPerThread() const;
+    SmallVector<unsigned> getOrder() const;
+  }];
+
+  let genVerifyDecl = 1;
+  // Example of assembly format:
+  // <{register = [[0, 1], [8, 0], [0, 8], [64, 0]],
+  //   lane = [[0, 2], [0, 4], [1, 0], [2, 0], [4, 0]],
+  //   warp = [[16, 0], [32, 0]],
+  //   block = []}>
+  let hasCustomAssemblyFormat = 1;
+}
+
+
 //===----------------------------------------------------------------------===//
 // Blocked Layout Encoding
 //===----------------------------------------------------------------------===//

include/triton/Tools/LinearLayout.h

@@ -9,6 +9,7 @@
 #include <vector>
 
 #include "mlir/IR/BuiltinAttributes.h"
+#include "llvm/ADT/Hashing.h"
 #include "llvm/ADT/MapVector.h"
 #include "llvm/ADT/STLExtras.h"
 #include "llvm/ADT/SetVector.h"
@@ -432,6 +433,7 @@ class LinearLayout {
   // (e.g. by reshaping) then the order doesn't really affect anything.
   auto getInDimNames() const { return llvm::make_first_range(bases); }
   auto getOutDimNames() const { return llvm::make_first_range(outDims); }
+  auto getOutDimSizes() const { return llvm::make_second_range(outDims); }
 
   // Gets the position that this outDim occupies in getOutDimNames().  Asserts
   // if the dim is not present.
@@ -693,6 +695,7 @@ class LinearLayout {
     return !(lhs == rhs);
   }
   bool equalIgnoringOutDimSizes(const LinearLayout &other) const;
+  friend size_t hash_value(const LinearLayout &layout);
 
 private:
   // Factory function that gracefully fails rather than asserts if the layout is

lib/Conversion/TritonGPUToLLVM/ConvertLayoutOpToLLVM.cpp

@@ -397,6 +397,9 @@ struct ConvertLayoutOpUsingLinearLayoutsConversion
       if (isa<BlockedEncodingAttr>(layout)) {
         return true;
       }
+      if (isa<LinearEncodingAttr>(layout)) {
+        return true;
+      }
       if (auto slice = dyn_cast<SliceEncodingAttr>(layout)) {
         return layoutIsOK(slice.getParent());
       }

lib/Conversion/TritonGPUToLLVM/MemoryOpToLLVM.cpp

@@ -165,8 +165,8 @@ struct LocalLoadOpConversion : public ConvertOpToLLVMPattern<LocalLoadOp> {
     Attribute srcLayout = srcTy.getEncoding();
     Attribute dstLayout = dstTy.getEncoding();
     if (isa<SharedEncodingAttr>(srcLayout) &&
-        (isa<BlockedEncodingAttr, MmaEncodingTrait, SliceEncodingAttr>(
-             dstLayout) ||
+        (isa<BlockedEncodingAttr, MmaEncodingTrait, SliceEncodingAttr,
+             LinearEncodingAttr>(dstLayout) ||
          isSupportedDotOpLayout(dstTy))) {
       return lowerSharedToDistributed(op, adaptor, getTypeConverter(),
                                       rewriter);
@@ -206,7 +206,6 @@ struct LocalLoadOpConversion : public ConvertOpToLLVMPattern<LocalLoadOp> {
     auto dstTy = op.getResult().getType();
     auto dstShape = dstTy.getShape();
     auto srcSharedLayout = cast<SharedEncodingAttr>(srcTy.getEncoding());
-    auto dstLayout = dstTy.getEncoding();
     assert((dstShape.size() <= 2 || isSupportedDotOpLayout(dstTy)) &&
            "Unexpected rank of ConvertLayout(shared->distributed)");