'iree_codegen' Dialect

A dialect for common functionality used by IREE code generation.

This dialect is primarily meant to hold attributes that carry the state of the compilation when lowered to scalar code for an architecture. Typically, a backend starts by analyzing the entry point functions within the hal.executable.variant and deciding which compilation pipeline to chose. During this, even the values for parameters such as tile sizes, etc. are also decided. The rest of the compilation flow does not make any heuristic decisions, rather just looks at the values of the decision specified in attributes that belong to this dialect. This allows an external search to easily override the heuristics that are hard-coded within a backend.

• 'iree_codegen' Dialect
  • Operations
    • iree_codegen.extract_strided_metadata (Codegen::ExtractStridedMetadataOp)
    • iree_codegen.load_from_memref (Codegen::LoadFromMemrefOp)
    • iree_codegen.null_pointer (Codegen::NullPointerOp)
    • iree_codegen.query_tile_sizes (Codegen::QueryTileSizesOp)
    • iree_codegen.store_to_memref (Codegen::StoreToMemrefOp)
    • iree_codegen.swizzle_hint (Codegen::SwizzleHintOp)
  • Types
    • NullPointerType

Operations

iree_codegen.extract_strided_metadata (Codegen::ExtractStridedMetadataOp)

Extracts a buffer base with offset and strides

Syntax:

operation ::= `iree_codegen.extract_strided_metadata` $source `:` type($source) `->` type(results) attr-dict

This op is implemented similarly to the upstream MemRef::ExtractStridedMetadataOp with the following differences.

1. It does not fold away static offset/stride information. Hence unlike the upstream Op the link between the memref and consumers of the metadata is not broken when later passes change this information. A common example in IREE of this is buffer binding optimizations.

2. Helper functions getConstifiedMixed{Offset|Strides|Sizes} are not implemented as the expectation is you should lower to the upstream op before using those functions if you need them.

Copy of MemRef::ExtractStridedMetadataOp description for reference below. Extracts a base buffer, offset and strides. This op allows additional layers of transformations and foldings to be added as lowering progresses from higher-level dialect to lower-level dialects such as the LLVM dialect.

The op requires a strided memref source operand. If the source operand is not a strided memref, then verification fails.

This operation is also useful for completeness to the existing memref.dim op. While accessing strides, offsets and the base pointer independently is not available, this is useful for composing with its natural complement op: memref.reinterpret_cast.

Intended Use Cases:

The main use case is to expose the logic for manipulate memref metadata at a higher level than the LLVM dialect. This makes lowering more progressive and brings the following benefits: - not all users of MLIR want to lower to LLVM and the information to e.g. lower to library calls---like libxsmm---or to SPIR-V was not available. - foldings and canonicalizations can happen at a higher level in MLIR: before this op existed, lowering to LLVM would create large amounts of LLVMIR. Even when LLVM does a good job at folding the low-level IR from a performance perspective, it is unnecessarily opaque and inefficient to send unkempt IR to LLVM.

Traits: AlwaysSpeculatableImplTrait, InferTypeOpAdaptor, SameVariadicResultSize

Interfaces: ConditionallySpeculatable, InferTypeOpInterface, NoMemoryEffect (MemoryEffectOpInterface), OpAsmOpInterface, ViewLikeOpInterface

Effects: MemoryEffects::Effect{}

Operands:

Operand	Description
source	strided memref of any type values

Results:

Result	Description
base_buffer	strided memref of any type values of rank 0
offset	index
sizes	variadic of index
strides	variadic of index

iree_codegen.load_from_memref (Codegen::LoadFromMemrefOp)

Loads a tensor from a memref

Syntax:

operation ::= `iree_codegen.load_from_memref` $source attr-dict `:` type($source) `->` type($result)

Loads a tensor from a memref with a compatible shape and the same element type.

Interfaces: MemoryEffectOpInterface

Operands:

Operand	Description
source	strided memref of any type values

Results:

Result	Description
result	ranked tensor of any type values

iree_codegen.null_pointer (Codegen::NullPointerOp)

Returns a null_pointer value.

Syntax:

operation ::= `iree_codegen.null_pointer` attr-dict

This is meant to be used only as arguments to microkernels.

Traits: AlwaysSpeculatableImplTrait

Interfaces: ConditionallySpeculatable, InferTypeOpInterface, NoMemoryEffect (MemoryEffectOpInterface)

Effects: MemoryEffects::Effect{}

Results:

Result	Description
result	Pseudo null-pointer type. Lowers to a null pointer.

iree_codegen.query_tile_sizes (Codegen::QueryTileSizesOp)

Query tile sizes

Syntax:

operation ::= `iree_codegen.query_tile_sizes` attr-dict $tensor_type `->` type($results)

Query tile sizes

Traits: AlwaysSpeculatableImplTrait

Interfaces: ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)

Effects: MemoryEffects::Effect{}

Attributes:

Attribute	MLIR Type	Description
tensor_type	::mlir::TypeAttr	Tensor type attribute

Results:

Result	Description
results	variadic of index

iree_codegen.store_to_memref (Codegen::StoreToMemrefOp)

Stores a tensor into a memref

Syntax:

operation ::= `iree_codegen.store_to_memref` $value `,` $target
              attr-dict `:` type($value) `into` type($target)

Stores a tensor into a memref with a compatible shape and the same element type.

Interfaces: MemoryEffectOpInterface

Operands:

Operand	Description
value	ranked tensor of any type values
target	strided memref of any type values

iree_codegen.swizzle_hint (Codegen::SwizzleHintOp)

Hint to swizzle accesses according to an access pattern

Syntax:

operation ::= `iree_codegen.swizzle_hint` $operand `[` $swizzle attr-dict `]` `:` type($result)

Optimization hint to swizzle all accesses to the memref this takes a view of. This only affects reads/writes immediately consuming this operation and is best effort. If the desired swizzling is not apparently possible, this op will no-op. As a result, it should not be relied on for correctness.

Any subviews on this operation will cause swizzling to fail. The expectation is for all view like operations to fold into the accessing ops (loads/stores) before this op takes effect.

Note that this only rewrites direct users. If there are any aliased loads or stores of the data from/to the |src| memref of a hintOp, those accesses will not be swizzled. This allows reusing an allocation with different swizzled access patterns as long as there is no data dependency between memory with different layouts. For example:

%0 = alloc()
%1 = iree_codegen.swizzle_hint %0, #layout_0
%2 = iree_codegen.swizzle_hint %0, #layout_1
{
   vector.store %1
   vector.load %1
     ^
     |
    unrelated
     |
     v
   vector.store %2
   vector.load %2
}

If there is a data dependency between the accesses of %1 and %2, for example a value stored to %1 is loaded from %2, this is undefined behavior. Aliasing is otherwise perfectly legal.

Traits: AlwaysSpeculatableImplTrait, SameOperandsAndResultType

Interfaces: ConditionallySpeculatable, InferTypeOpInterface, NoMemoryEffect (MemoryEffectOpInterface)

Effects: MemoryEffects::Effect{}

Attributes:

Attribute	MLIR Type	Description
swizzle	IREE::Codegen::SwizzleAttrInterface	swizzling descriptor attributes

Operands:

Operand	Description
operand	1D memref of any type values

Results:

Result	Description
result	1D memref of any type values

Types

NullPointerType

Pseudo null-pointer type. Lowers to a null pointer.

Syntax: !iree_codegen.null_pointer

This is meant to be used only as arguments to microkernels.