torch-mlir/test/Conversion/TorchToTosa/conv2d_transpose.mlir

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Do not try to legalize transposed convolution (#2721) Currently transposed convolution is not handled correctly by `TorchToTosa`. This PR allows transposed convolutions to pass through the conversion so that they can be handled by other conversion passes later in a pipeline. An example input which produces a compilation error is: ``` func.func @forward(%input: !torch.vtensor<[1,64,1,100],f32>) -> !torch.vtensor<[1,64,2,200],f32> { %true = torch.constant.bool true %int1 = torch.constant.int 1 %int2 = torch.constant.int 2 %weight = torch.vtensor.literal(dense<0.0> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32> %bias = torch.vtensor.literal(dense<0.0> : tensor<64xf32>) : !torch.vtensor<[64],f32> %stride = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<int> %int1x1 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<int> %output = torch.aten.convolution %input, %weight, %bias, %stride, %int1x1, %int1x1, %true, %int1x1, %int1 : !torch.vtensor<[1,64,1,100],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,2,200],f32> return %output : !torch.vtensor<[1,64,2,200],f32> } ``` This MLIR produces an error about a cast operation with a size mismatch when passed through `torch-to-tosa`: ``` error: 'tensor.cast' op operand type 'tensor<1x64x1x50xf32>' and result type 'tensor<1x64x2x200xf32>' are cast incompatible ``` --------- Co-authored-by: Srinath Avadhanula <srinath.avadhanula@getcruise.com>
2024-01-23 02:57:56 +08:00
// RUN: torch-mlir-opt <%s -convert-torch-to-tosa -split-input-file -verify-diagnostics
// The following test ensures that a tranposed convolution op is not
// lowered in the torch-to-tosa conversion pass.
func.func @forward(%input: !torch.vtensor<[1,64,1,100],f32>) -> !torch.vtensor<[1,64,2,200],f32> {
%true = torch.constant.bool true
%int1 = torch.constant.int 1
%int2 = torch.constant.int 2
%weight = torch.vtensor.literal(dense<0.0> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
%bias = torch.vtensor.literal(dense<0.0> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%stride = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<int>
%int1x1 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<int>
// expected-error@+1 {{failed to legalize operation 'torch.aten.convolution' that was explicitly marked illegal}}
%output = torch.aten.convolution %input, %weight, %bias, %stride, %int1x1, %int1x1, %true, %int1x1, %int1 : !torch.vtensor<[1,64,1,100],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,2,200],f32>
Do not try to legalize transposed convolution (#2721) Currently transposed convolution is not handled correctly by `TorchToTosa`. This PR allows transposed convolutions to pass through the conversion so that they can be handled by other conversion passes later in a pipeline. An example input which produces a compilation error is: ``` func.func @forward(%input: !torch.vtensor<[1,64,1,100],f32>) -> !torch.vtensor<[1,64,2,200],f32> { %true = torch.constant.bool true %int1 = torch.constant.int 1 %int2 = torch.constant.int 2 %weight = torch.vtensor.literal(dense<0.0> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32> %bias = torch.vtensor.literal(dense<0.0> : tensor<64xf32>) : !torch.vtensor<[64],f32> %stride = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<int> %int1x1 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<int> %output = torch.aten.convolution %input, %weight, %bias, %stride, %int1x1, %int1x1, %true, %int1x1, %int1 : !torch.vtensor<[1,64,1,100],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,2,200],f32> return %output : !torch.vtensor<[1,64,2,200],f32> } ``` This MLIR produces an error about a cast operation with a size mismatch when passed through `torch-to-tosa`: ``` error: 'tensor.cast' op operand type 'tensor<1x64x1x50xf32>' and result type 'tensor<1x64x2x200xf32>' are cast incompatible ``` --------- Co-authored-by: Srinath Avadhanula <srinath.avadhanula@getcruise.com>
2024-01-23 02:57:56 +08:00
return %output : !torch.vtensor<[1,64,2,200],f32>
}