Introduce CustomCall operation in LHLO Dialect

- And add conversion from MHLO CustomCall to LHLO CustomCall
- According to XLA documentation, the called function should not be side effecting,
  so marking the argument MemRefs as MemRead.

PiperOrigin-RevId: 334737196
This commit is contained in:
Rahul Joshi 2020-09-30 20:55:49 -07:00 committed by TensorFlow MLIR Team
parent e2ffba3f61
commit bce128b070
4 changed files with 27 additions and 0 deletions

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@ -289,6 +289,16 @@ def LHLO_WhileOp: LHLO_Op<"while", [SameVariadicOperandSize]>,
let regions = (region SizedRegion<1>:$cond, SizedRegion<1>:$body);
}
def LHLO_CustomCallOp : LHLO_Op<"custom_call", []>, BASE_HLO_CustomCallOp {
let arguments = (ins
Arg<Variadic<LHLO_Buffer>, "", [MemRead]>:$args,
Arg<LHLO_Buffer, "", [MemWrite]>:$output,
StrAttr:$call_target_name,
DefaultValuedAttr<BoolAttr, "false">:$has_side_effect,
DefaultValuedAttr<StrAttr, "">:$backend_config
);
}
//===----------------------------------------------------------------------===//
// LMHLO tuple op definitions.
//===----------------------------------------------------------------------===//

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@ -50,6 +50,7 @@ MAP_HLO_TO_LHLO(ConvOp);
MAP_HLO_TO_LHLO(ConvertOp);
MAP_HLO_TO_LHLO(CopyOp);
MAP_HLO_TO_LHLO(CosOp);
MAP_HLO_TO_LHLO(CustomCallOp);
MAP_HLO_TO_LHLO(DivOp);
MAP_HLO_TO_LHLO(DotOp);
MAP_HLO_TO_LHLO(ExpOp);

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@ -498,6 +498,7 @@ void populateHLOToLHLOConversionPattern(
HloToLhloOpConverter<mhlo::ConvertOp>,
HloToLhloOpConverter<mhlo::CopyOp>,
HloToLhloOpConverter<mhlo::CosOp>,
HloToLhloOpConverter<mhlo::CustomCallOp>,
HloToLhloOpConverter<mhlo::DivOp>,
HloToLhloOpConverter<mhlo::DotOp>,
HloToLhloOpConverter<mhlo::ExpOp>,

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@ -586,3 +586,18 @@ func @transpose(%operand: memref<2x2xf32>, %result: memref<2x2xf32>) {
tensor_store %tensor_result, %result : memref<2x2xf32>
return
}
// -----
// BOTH-LABEL: func @custom_call
// BOTH-SAME:([[ARG0:%.*]]: memref<2x2xf32>, [[ARG1:%.*]]: memref<2x3xf32>, [[RESULT:%.*]]: memref<4x4xf16>)
func @custom_call(%arg0: memref<2x2xf32>, %arg1: memref<2x3xf32>, %result: memref<4x4xf16>) {
%arg0_tensor = tensor_load %arg0 : memref<2x2xf32>
%arg1_tensor = tensor_load %arg1 : memref<2x3xf32>
// BOTH: "lmhlo.custom_call"([[ARG0]], [[ARG1]], %{{.*}}) {backend_config = "", call_target_name = "foo", has_side_effect = false}
%result_tensor = "mhlo.custom_call"(%arg0_tensor, %arg1_tensor)
{backend_config = "", call_target_name = "foo", has_side_effect = false}
: (tensor<2x2xf32>, tensor<2x3xf32>) -> tensor<4x4xf16>
tensor_store %result_tensor, %result: memref<4x4xf16>
return
}