mirror of https://github.com/llvm/torch-mlir
54 lines
2.7 KiB
MLIR
54 lines
2.7 KiB
MLIR
// RUN: npcomp-opt <%s -convert-torch-to-std | FileCheck %s
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// CHECK-LABEL: func @aten.dim(
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// CHECK-SAME: %[[ARG0:.*]]: !torch.vtensor<*,f32>) -> i64 {
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// CHECK: %[[BUILTIN_TENSOR:.*]] = torch.to_builtin_tensor %[[ARG0]] : !torch.vtensor<*,f32> -> tensor<*xf32>
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// CHECK: %[[RANK_INDEX:.*]] = rank %[[BUILTIN_TENSOR]] : tensor<*xf32>
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// CHECK: %[[RANK_I64:.*]] = index_cast %[[RANK_INDEX]] : index to i64
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// CHECK: return %[[RANK_I64]] : i64
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func @aten.dim(%arg0: !torch.vtensor<*,f32>) -> i64 {
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%0 = torch.aten.dim %arg0 : !torch.vtensor<*,f32> -> i64
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return %0 : i64
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}
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// CHECK-LABEL: func @torch.aten.ne.int(
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// CHECK-SAME: %[[ARG0:.*]]: i64,
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// CHECK-SAME: %[[ARG1:.*]]: i64) -> !torch.bool {
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// CHECK: %[[I1:.*]] = cmpi ne, %[[ARG0]], %[[ARG1]] : i64
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// CHECK: %[[BOOL:.*]] = torch.from_i1 %[[I1]]
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// CHECK: return %[[BOOL]] : !torch.bool
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func @torch.aten.ne.int(%arg0: i64, %arg1: i64) -> !torch.bool {
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%0 = torch.aten.ne.int %arg0, %arg1 : i64, i64 -> !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: %[[ARG0:.*]]: i64,
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// CHECK-SAME: %[[ARG1:.*]]: i64) -> !torch.bool {
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// CHECK: %[[I1:.*]] = cmpi sgt, %[[ARG0]], %[[ARG1]] : i64
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// CHECK: %[[BOOL:.*]] = torch.from_i1 %[[I1]]
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// CHECK: return %[[BOOL]] : !torch.bool
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func @torch.aten.gt.int(%arg0: i64, %arg1: i64) -> !torch.bool {
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%0 = torch.aten.gt.int %arg0, %arg1 : i64, i64 -> !torch.bool
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return %0 : !torch.bool
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}
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// CHECK-LABEL: func @torch.tensor$value() -> !torch.vtensor<[],f32> {
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// CHECK: %[[CST:.*]] = constant dense<0.000000e+00> : tensor<f32>
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// CHECK: %[[VTENSOR:.*]] = torch.from_builtin_tensor %[[CST]] : tensor<f32> -> !torch.vtensor<[],f32>
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// CHECK: return %[[VTENSOR]] : !torch.vtensor<[],f32>
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func @torch.tensor$value() -> !torch.vtensor<[],f32> {
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%0 = torch.tensor(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.tensor$nonval() -> !torch.tensor<[],f32> {
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// CHECK: %[[CST:.*]] = constant dense<0.000000e+00> : tensor<f32>
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// CHECK: %[[VTENSOR:.*]] = torch.from_builtin_tensor %[[CST]] : tensor<f32> -> !torch.vtensor<[],f32>
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// CHECK: %[[NONVAL:.*]] = torch.copy.tensor %[[VTENSOR]] : !torch.vtensor<[],f32> -> !torch.tensor<[],f32>
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// CHECK: return %[[NONVAL]] : !torch.tensor<[],f32>
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func @torch.tensor$nonval() -> !torch.tensor<[],f32> {
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%0 = torch.tensor(dense<0.0> : tensor<f32>) : !torch.tensor<[],f32>
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return %0 : !torch.tensor<[],f32>
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}
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