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dialects: (bufferization) add materialize_in_destination (#3301)
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Currently we need only the command with tensor arguments but we should
extend it to memrefs as well at some point.
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mamanain authored Oct 15, 2024
1 parent 877b70c commit 810d653
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Showing 2 changed files with 33 additions and 0 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -5,11 +5,18 @@ module{
%m = "test.op"() : () -> memref<30x20x10xf32>
%m_t = bufferization.to_tensor %m restrict writable : memref<30x20x10xf32>
%t_m = bufferization.to_memref %m_t read_only : memref<30x20x10xf32>

%tensor1 = "test.op"() : () -> tensor<2x2xf64>
%tensor2 = "test.op"() : () -> tensor<2x2xf64>
%b = bufferization.materialize_in_destination %tensor1 in %tensor2 : (tensor<2x2xf64>, tensor<2x2xf64>) -> tensor<2x2xf64>
}

// CHECK: builtin.module {
// CHECK-NEXT: %0 = "bufferization.alloc_tensor"() <{"operandSegmentSizes" = array<i32: 0, 0, 0>}> : () -> tensor<10x20x30xf64>
// CHECK-NEXT: %1 = "test.op"() : () -> memref<30x20x10xf32>
// CHECK-NEXT: %2 = bufferization.to_tensor %1 restrict writable : memref<30x20x10xf32>
// CHECK-NEXT: %3 = bufferization.to_memref %2 read_only : memref<30x20x10xf32>
// CHECK-NEXT: %4 = "test.op"() : () -> tensor<2x2xf64>
// CHECK-NEXT: %5 = "test.op"() : () -> tensor<2x2xf64>
// CHECK-NEXT: %6 = bufferization.materialize_in_destination %4 in %5 : (tensor<2x2xf64>, tensor<2x2xf64>) -> tensor<2x2xf64>
// CHECK-NEXT: }
26 changes: 26 additions & 0 deletions xdsl/dialects/bufferization.py
Original file line number Diff line number Diff line change
Expand Up @@ -168,12 +168,38 @@ class ToMemrefOp(IRDLOperation):
assembly_format = "$tensor (`read_only` $read_only^)? `:` attr-dict type($memref)"


@irdl_op_definition
class MaterializeInDestination(IRDLOperation):
name = "bufferization.materialize_in_destination"

source = operand_def(
TensorMemrefInferenceConstraint(
"T", AnyTensorTypeConstr | AnyUnrankedTensorTypeConstr
)
)
dest = operand_def(
TensorMemrefInferenceConstraint(
"T", AnyTensorTypeConstr | AnyUnrankedTensorTypeConstr
)
)
result = result_def(
TensorMemrefInferenceConstraint(
"T", AnyTensorTypeConstr | AnyUnrankedTensorTypeConstr
)
)
restrict = opt_prop_def(UnitAttr)
writable = opt_prop_def(UnitAttr)

assembly_format = "$source `in` (`restrict` $restrict^)? (`writable` $writable^)? $dest attr-dict `:` `(` type($source) `,` type($dest) `)` `->` type($result)"


Bufferization = Dialect(
"bufferization",
[
AllocTensorOp,
ToTensorOp,
ToMemrefOp,
MaterializeInDestination,
],
[],
)

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