[LINALG] Add E2E support for `aten.eq.int` op

- This commit adds lowering of `aten.eq.int` op as a part of
  `convert-torch-to-std` pass.
- It also refactors the code for binary comparison ops lowering.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
pull/578/head
Gaurav Shukla 2022-02-12 03:09:30 +05:30
parent f00d1686c8
commit 78c7844c6c
4 changed files with 103 additions and 23 deletions

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@ -41,6 +41,7 @@ from . import argmax
from . import matmul
from . import reshape_like
from . import scalar
from . import scalar_comparison
from . import squeeze
from . import slice_like
from . import nll_loss

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@ -0,0 +1,71 @@
# 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
# Also available under a BSD-style license. See LICENSE.
import torch
from torch_mlir_e2e_test.torchscript.framework import TestUtils
from torch_mlir_e2e_test.torchscript.registry import register_test_case
from torch_mlir_e2e_test.torchscript.annotations import annotate_args, export
# ==============================================================================
class NeIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([], torch.int64, True),
([], torch.int64, True),
])
def forward(self, lhs, rhs):
return int(lhs) != int(rhs)
@register_test_case(module_factory=lambda: NeIntModule())
def NeIntModule_basic(module, tu: TestUtils):
module.forward(torch.randint(-100, 100, ()), torch.randint(-100, 100, ()))
# ==============================================================================
class EqIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([], torch.int64, True),
([], torch.int64, True),
])
def forward(self, lhs, rhs):
return int(lhs) == int(rhs)
@register_test_case(module_factory=lambda: EqIntModule())
def EqIntModule_basic(module, tu: TestUtils):
module.forward(torch.randint(-100, 100, ()), torch.randint(-100, 100, ()))
# ==============================================================================
class GtIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([], torch.int64, True),
([], torch.int64, True),
])
def forward(self, lhs, rhs):
return int(lhs) > int(rhs)
@register_test_case(module_factory=lambda: GtIntModule())
def GtIntModule_basic(module, tu: TestUtils):
module.forward(torch.randint(-100, 100, ()), torch.randint(-100, 100, ()))

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@ -75,28 +75,17 @@ public:
} // namespace
namespace {
class ConvertAtenNeIntOp : public OpConversionPattern<AtenNeIntOp> {
// Lowers aten integer comparison ops.
template <typename AtenOp, arith::CmpIPredicate Pred>
class ConvertAtenIntComparisonOp : public OpConversionPattern<AtenOp> {
public:
using OpConversionPattern::OpConversionPattern;
using OpConversionPattern<AtenOp>::OpConversionPattern;
LogicalResult
matchAndRewrite(AtenNeIntOp op, OpAdaptor adaptor,
matchAndRewrite(AtenOp op,
typename OpConversionPattern<AtenOp>::OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
rewriter.replaceOpWithNewOp<arith::CmpIOp>(op, arith::CmpIPredicate::ne,
adaptor.a(), adaptor.b());
return success();
}
};
} // namespace
namespace {
class ConvertAtenGtIntOp : public OpConversionPattern<AtenGtIntOp> {
public:
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(AtenGtIntOp op, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
rewriter.replaceOpWithNewOp<arith::CmpIOp>(op, arith::CmpIPredicate::sgt,
adaptor.a(), adaptor.b());
rewriter.replaceOpWithNewOp<arith::CmpIOp>(op, Pred, adaptor.a(),
adaptor.b());
return success();
}
};
@ -189,10 +178,16 @@ public:
patterns.add<ConvertAtenDimOp>(typeConverter, context);
target.addIllegalOp<RuntimeAssertOp>();
patterns.add<ConvertRuntimeAssertOp>(typeConverter, context);
target.addIllegalOp<AtenNeIntOp>();
patterns.add<ConvertAtenNeIntOp>(typeConverter, context);
target.addIllegalOp<AtenGtIntOp>();
patterns.add<ConvertAtenGtIntOp>(typeConverter, context);
target.addIllegalOp<AtenNeIntOp, AtenEqIntOp, AtenGtIntOp>();
patterns
.add<ConvertAtenIntComparisonOp<AtenNeIntOp, arith::CmpIPredicate::ne>>(
typeConverter, context);
patterns
.add<ConvertAtenIntComparisonOp<AtenEqIntOp, arith::CmpIPredicate::eq>>(
typeConverter, context);
patterns.add<
ConvertAtenIntComparisonOp<AtenGtIntOp, arith::CmpIPredicate::sgt>>(
typeConverter, context);
target.addIllegalOp<ValueTensorLiteralOp>();
patterns.add<ConvertTorchTensorLiteralOp>(typeConverter, context);

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@ -40,6 +40,19 @@ func @torch.aten.ne.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.bool {
return %0 : !torch.bool
}
// CHECK-LABEL: func @torch.aten.eq.int(
// CHECK-SAME: %[[LHS:.*]]: !torch.int,
// CHECK-SAME: %[[RHS:.*]]: !torch.int) -> !torch.bool {
// CHECK: %[[LHS_I64:.*]] = torch_c.to_i64 %[[LHS]]
// CHECK: %[[RHS_I64:.*]] = torch_c.to_i64 %[[RHS]]
// CHECK: %[[CMP:.*]] = arith.cmpi eq, %[[LHS_I64]], %[[RHS_I64]] : i64
// CHECK: %[[CMP_TORCH_BOOL:.*]] = torch_c.from_i1 %[[CMP]]
// CHECK: return %[[CMP_TORCH_BOOL]] : !torch.bool
func @torch.aten.eq.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.bool {
%0 = torch.aten.eq.int %arg0, %arg1 : !torch.int, !torch.int -> !torch.bool
return %0 : !torch.bool
}
// CHECK-LABEL: func @torch.aten.gt.int(
// CHECK-SAME: %[[LHS:.*]]: !torch.int,
// CHECK-SAME: %[[RHS:.*]]: !torch.int) -> !torch.bool {