mirror of https://github.com/llvm/torch-mlir
88 lines
4.3 KiB
MLIR
88 lines
4.3 KiB
MLIR
// RUN: torch-mlir-opt <%s -convert-torch-to-std | FileCheck %s
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// CHECK-LABEL: func @torch.aten.dim(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<*,f32>) -> !torch.int {
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// CHECK: %[[BUILTIN_TENSOR:.*]] = torch_c.to_builtin_tensor %[[ARG]] : !torch.vtensor<*,f32> -> tensor<*xf32>
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// CHECK: %[[RANK:.*]] = rank %[[BUILTIN_TENSOR]] : tensor<*xf32>
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// CHECK: %[[RANK_I64:.*]] = arith.index_cast %[[RANK]] : index to i64
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// CHECK: %[[RANK_TORCH_INT:.*]] = torch_c.from_i64 %[[RANK_I64]]
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// CHECK: return %[[RANK_TORCH_INT]] : !torch.int
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func @torch.aten.dim(%arg0: !torch.vtensor<*,f32>) -> !torch.int {
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%0 = torch.aten.dim %arg0 : !torch.vtensor<*,f32> -> !torch.int
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return %0 : !torch.int
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}
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// CHECK-LABEL: func @torch.aten.ne.int(
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// CHECK-SAME: %[[LHS:.*]]: !torch.int,
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// CHECK-SAME: %[[RHS:.*]]: !torch.int) -> !torch.bool {
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// CHECK: %[[LHS_I64:.*]] = torch_c.to_i64 %[[LHS]]
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// CHECK: %[[RHS_I64:.*]] = torch_c.to_i64 %[[RHS]]
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// CHECK: %[[CMP:.*]] = arith.cmpi ne, %[[LHS_I64]], %[[RHS_I64]] : i64
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// CHECK: %[[CMP_TORCH_BOOL:.*]] = torch_c.from_i1 %[[CMP]]
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// CHECK: return %[[CMP_TORCH_BOOL]] : !torch.bool
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func @torch.aten.ne.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.bool {
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%0 = torch.aten.ne.int %arg0, %arg1 : !torch.int, !torch.int -> !torch.bool
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return %0 : !torch.bool
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}
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// CHECK-LABEL: func @torch.aten.gt.int(
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// CHECK-SAME: %[[LHS:.*]]: !torch.int,
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// CHECK-SAME: %[[RHS:.*]]: !torch.int) -> !torch.bool {
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// CHECK: %[[LHS_I64:.*]] = torch_c.to_i64 %[[LHS]]
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// CHECK: %[[RHS_I64:.*]] = torch_c.to_i64 %[[RHS]]
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// CHECK: %[[CMP:.*]] = arith.cmpi sgt, %[[LHS_I64]], %[[RHS_I64]] : i64
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// CHECK: %[[CMP_TORCH_BOOL:.*]] = torch_c.from_i1 %[[CMP]]
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// CHECK: return %[[CMP_TORCH_BOOL]] : !torch.bool
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func @torch.aten.gt.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.bool {
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%0 = torch.aten.gt.int %arg0, %arg1 : !torch.int, !torch.int -> !torch.bool
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return %0 : !torch.bool
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}
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// CHECK-LABEL: func @torch.vtensor.literal() -> !torch.vtensor<[],f32> {
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// CHECK: %[[CST:.*]] = arith.constant dense<0.000000e+00> : tensor<f32>
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// CHECK: %[[VTENSOR:.*]] = torch_c.from_builtin_tensor %[[CST]] : tensor<f32> -> !torch.vtensor<[],f32>
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// CHECK: return %[[VTENSOR]] : !torch.vtensor<[],f32>
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func @torch.vtensor.literal() -> !torch.vtensor<[],f32> {
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%0 = torch.vtensor.literal(dense<0.0> : tensor<f32>) : !torch.vtensor<[],f32>
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return %0 : !torch.vtensor<[],f32>
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}
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// CHECK-LABEL: func @torch.constant.bool() -> !torch.bool {
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// CHECK: %[[CST:.*]] = arith.constant true
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// CHECK: %[[BOOL:.*]] = torch_c.from_i1 %[[CST]]
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// CHECK: return %[[BOOL]] : !torch.bool
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func @torch.constant.bool() -> !torch.bool {
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%true = torch.constant.bool true
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return %true : !torch.bool
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}
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// CHECK-LABEL: func @torch.constant.float() -> !torch.float {
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// CHECK: %[[CST:.*]] = arith.constant 1.000000e+00 : f64
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// CHECK: %[[FLOAT:.*]] = torch_c.from_f64 %[[CST]]
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// CHECK: return %[[FLOAT]] : !torch.float
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func @torch.constant.float() -> !torch.float {
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%float = torch.constant.float 1.000000e+00
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return %float : !torch.float
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}
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// CHECK-LABEL: func @torch.constant.int() -> !torch.int {
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// CHECK: %[[CST:.*]] = arith.constant 1 : i64
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// CHECK: %[[INT:.*]] = torch_c.from_i64 %[[CST]]
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// CHECK: return %[[INT]] : !torch.int
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func @torch.constant.int() -> !torch.int {
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%int1 = torch.constant.int 1
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return %int1 : !torch.int
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}
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// CHECK-LABEL: func @torch.aten.add.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.int {
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// CHECK: %[[LHS_I64:.*]] = torch_c.to_i64 %[[LHS]]
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// CHECK: %[[RHS_I64:.*]] = torch_c.to_i64 %[[RHS]]
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// CHECK: %[[INT:.*]] = arith.addi %[[LHS_I64:.*]], [[RHS_I64:.*]] : i64
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// CHECK: %[[INT:.*]] = torch_c.from_i64 %[[INT:.*]]
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// CHECK: return %[[INT:.*]] : !torch.int
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func @torch.aten.add.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.int {
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%0 = torch.aten.add.int %arg0, %arg1 : !torch.int, !torch.int -> !torch.int
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return %0 : !torch.int
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}
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