mirror of https://github.com/llvm/torch-mlir
37 lines
2.0 KiB
MLIR
37 lines
2.0 KiB
MLIR
// RUN: npcomp-opt --convert-aten-to-tcf %s | not npcomp-run-mlir \
|
|
// RUN: -invoke aten_conv_2d_nchw \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x2x2xf32>" \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x2x2x2xf32>" \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x1x1xf32>" \
|
|
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
|
|
// RUN: | FileCheck %s --check-prefix=CHANNELS
|
|
|
|
// RUN: npcomp-opt --convert-aten-to-tcf %s | not npcomp-run-mlir \
|
|
// RUN: -invoke aten_conv_2d_nchw \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x2x2xf32>" \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x3x2xf32>" \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x1x1xf32>" \
|
|
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
|
|
// RUN: | FileCheck %s --check-prefix=HEIGHT
|
|
|
|
// RUN: npcomp-opt --convert-aten-to-tcf %s | not npcomp-run-mlir \
|
|
// RUN: -invoke aten_conv_2d_nchw \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x2x2xf32>" \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x2x3xf32>" \
|
|
// RUN: -arg-value="dense<0.0> : tensor<1x1x1x1xf32>" \
|
|
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
|
|
// RUN: | FileCheck %s --check-prefix=WIDTH
|
|
|
|
// CHANNELS: NPCOMP: aborting: input and filter in-channels must be equal
|
|
// HEIGHT: NPCOMP: aborting: input height must be greater than or equal to filter KH-dimension
|
|
// WIDTH: NPCOMP: aborting: input width must be greater than or equal to filter KW-dimension
|
|
func @aten_conv_2d_nchw(%arg0: tensor<?x?x?x?xf32>, %arg1: tensor<?x?x?x?xf32>, %arg2: tensor<?x?x?x?xf32>) -> tensor<?x?x?x?xf32> {
|
|
%c0_i64 = constant 0 : i64
|
|
%c1_i64 = constant 1 : i64
|
|
%0 = basicpy.build_list %c1_i64, %c1_i64 : (i64, i64) -> !basicpy.ListType
|
|
%1 = basicpy.build_list %c0_i64, %c0_i64 : (i64, i64) -> !basicpy.ListType
|
|
%2 = basicpy.build_list %c1_i64, %c1_i64 : (i64, i64) -> !basicpy.ListType
|
|
%3 = "aten.conv2d"(%arg0, %arg1, %arg2, %0, %1, %2, %c1_i64) : (tensor<?x?x?x?xf32>, tensor<?x?x?x?xf32>, tensor<?x?x?x?xf32>, !basicpy.ListType, !basicpy.ListType, !basicpy.ListType, i64) -> tensor<?x?x?x?xf32>
|
|
return %3 : tensor<?x?x?x?xf32>
|
|
}
|