Chi_Liu AmosLewis
AmosLewis
/ Inception_v4_vaiq_int8.default.onnx.torch.elide.mlir
Created
April 19, 2024 22:31
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| module { | |
| func.func @torch_jit(%arg0: !torch.vtensor<[32,3,224,224],f32>) -> !torch.vtensor<[32,1000],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 15 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.12.1"} { | |
| %0 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x3x3x3xf32>) : !torch.vtensor<[32,3,3,3],f32> | |
| %1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32> | |
| %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32> | |
| %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32> | |
| %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x32x3x3xf32>) : !torch.vtensor<[64,32,3,3],f32> | |
| %5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %6 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3 |
AmosLewis
/ u-net_brain_mri_vaiq_int8.default.onnx.torch.elide.mlir
Created
April 19, 2024 21:58
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| module { | |
| func.func @torch_jit(%arg0: !torch.vtensor<[32,3,256,256],f32>) -> !torch.vtensor<[32,1,256,256],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 17 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.13.1"} { | |
| %float1.250000e-01 = torch.constant.float 1.250000e-01 | |
| %float4.882810e-04 = torch.constant.float 4.8828125E-4 | |
| %float3.125000e-02 = torch.constant.float 3.125000e-02 | |
| %float1.953130e-03 = torch.constant.float 0.001953125 | |
| %float3.906250e-03 = torch.constant.float 3.906250e-03 | |
| %float9.765620e-04 = torch.constant.float 9.765625E-4 | |
| %float7.812500e-03 = torch.constant.float 7.812500e-03 | |
| %true = torch.constant.bool true |
AmosLewis
/ U-2-Net_vaiq_int8.default.onnx.torch.elide.mlir
Created
April 19, 2024 21:08
This file has been truncated, but you can view the full file.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| module { | |
| func.func @torch_jit(%arg0: !torch.vtensor<[1,3,320,320],f32>) -> (!torch.vtensor<[1,1,320,320],f32>, !torch.vtensor<[1,1,320,320],f32>, !torch.vtensor<[1,1,320,320],f32>, !torch.vtensor<[1,1,320,320],f32>, !torch.vtensor<[1,1,320,320],f32>, !torch.vtensor<[1,1,320,320],f32>, !torch.vtensor<[1,1,320,320],f32>) attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 17 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.13.1"} { | |
| %0 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x3x3x3xf32>) : !torch.vtensor<[64,3,3,3],f32> | |
| %1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x64x3x3xf32>) : !torch.vtensor<[32,64,3,3],f32> | |
| %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32> | |
| %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf3 |
AmosLewis
/ FCN_vaiq_int8.default.onnx.torch.elide.mlir
Created
April 19, 2024 01:39
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| module { | |
| func.func @torch_jit(%arg0: !torch.vtensor<[1,3,224,224],f32>) -> (!torch.vtensor<[1,21,224,224],f32>, !torch.vtensor<[1,21,224,224],f32>) attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 17 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.13.1"} { | |
| %0 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x3x7x7xf32>) : !torch.vtensor<[64,3,7,7],f32> | |
| %1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x1xf32>) : !torch.vtensor<[64,64,1,1],f32> | |
| %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32> | |
| %5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %6 = torch.vtensor.literal(d |
AmosLewis
/ DeepLabV3_resnet50_vaiq_int8.default.onnx.torch.elide.mlir
Created
April 18, 2024 21:23
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| module { | |
| func.func @torch_jit(%arg0: !torch.vtensor<[1,3,224,224],f32>) -> (!torch.vtensor<[1,21,224,224],f32>, !torch.vtensor<[1,21,224,224],f32>) attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 17 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.13.1"} { | |
| %0 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x3x7x7xf32>) : !torch.vtensor<[64,3,7,7],f32> | |
| %1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x1xf32>) : !torch.vtensor<[64,64,1,1],f32> | |
| %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32> | |
| %5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32> | |
| %6 = torch.vtensor.literal(d |
AmosLewis
/ torch_mlir_build.txt
Last active
April 17, 2024 20:38
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| (mlir_venv) ➜ torch-mlir git:(reduceprod3) ✗ cmake -GNinja -Bbuild \ | |
| -DCMAKE_BUILD_TYPE=Debug \ | |
| -DCMAKE_C_COMPILER=clang \ | |
| -DCMAKE_CXX_COMPILER=clang++ \ | |
| -DPython3_FIND_VIRTUALENV=ONLY \ | |
| -DLLVM_ENABLE_PROJECTS=mlir \ | |
| -DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \ | |
| -DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR=`pwd` \ | |
| -DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR=`pwd`/externals/llvm-external-projects/torch-mlir-dialects \ | |
| -DMLIR_ENABLE_BINDINGS_PYTHON=ON \ |
AmosLewis
/ StdCorrectionModule_basic.mlir
Created
March 1, 2024 07:44
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #loc = loc(unknown) | |
| module attributes {torch.debug_module_name = "StdCorrectionModule"} { | |
| func.func @forward(%arg0: !torch.vtensor<[?,?,?],f32> loc(unknown)) -> !torch.vtensor<[],f32> { | |
| %int6 = torch.constant.int 6 loc(#loc) | |
| %float2.000000e00 = torch.constant.float 2.000000e+00 loc(#loc) | |
| %float1.000000e00 = torch.constant.float 1.000000e+00 loc(#loc) | |
| %true = torch.constant.bool true loc(#loc) | |
| %int2 = torch.constant.int 2 loc(#loc) | |
| %int1 = torch.constant.int 1 loc(#loc) | |
| %int0 = torch.constant.int 0 loc(#loc) |
AmosLewis
/ StdCorrectionModule_basic_debug.cpp
Created
March 1, 2024 07:39
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| (mlir_venv) ➜ torch-mlir git:(reduceprodfix) gdb --arg python -m e2e_testing.main --config=onnx --filter StdCorrectionModule_basic -v | |
| GNU gdb (Ubuntu 12.1-0ubuntu1~22.04) 12.1 | |
| Copyright (C) 2022 Free Software Foundation, Inc. | |
| License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> | |
| This is free software: you are free to change and redistribute it. | |
| There is NO WARRANTY, to the extent permitted by law. | |
| Type "show copying" and "show warranty" for details. | |
| This GDB was configured as "x86_64-linux-gnu". | |
| Type "show configuration" for configuration details. | |
| For bug reporting instructions, please see: |
AmosLewis
/ BernoulliModule.mlir
Created
March 1, 2024 07:32
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #loc = loc(unknown) | |
| module attributes {torch.debug_module_name = "BernoulliModule"} { | |
| func.func @forward(%arg0: !torch.vtensor<[?,?,?],f64> loc(unknown)) -> (!torch.vtensor<[],f64>, !torch.vtensor<[],f64>) { | |
| %true = torch.constant.bool true loc(#loc) | |
| %false = torch.constant.bool false loc(#loc) | |
| %int7 = torch.constant.int 7 loc(#loc) | |
| %int2 = torch.constant.int 2 loc(#loc) | |
| %int1 = torch.constant.int 1 loc(#loc) | |
| %none = torch.constant.none loc(#loc) | |
| %float0.000000e00 = torch.constant.float 0.000000e+00 loc(#loc4) |
AmosLewis
/ BernoulliModule_basic_debug.cpp
Created
March 1, 2024 07:30
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| (mlir_venv) ➜ torch-mlir git:(reduceprodfix) ✗ gdb --arg python -m e2e_testing.main --config=onnx --filter BernoulliModule_basic -v | |
| GNU gdb (Ubuntu 12.1-0ubuntu1~22.04) 12.1 | |
| Copyright (C) 2022 Free Software Foundation, Inc. | |
| License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> | |
| This is free software: you are free to change and redistribute it. | |
| There is NO WARRANTY, to the extent permitted by law. | |
| Type "show copying" and "show warranty" for details. | |
| This GDB was configured as "x86_64-linux-gnu". | |
| Type "show configuration" for configuration details. | |
| For bug reporting instructions, please see: |