We suffer more in imagination than in reality - - Seneca
Right now
- fear:
- prevent by:
- repair by:
- fear:
renxida
/ torchopt.out view error
Created
January 31, 2024 04:01
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| ~/torch-mlir/build/bin/torch-mlir-opt --convert-torch-to-linalg --convert-torch-to-tmtensor --debug -mlir-disable-threading -mlir-print-ir-after-all ./stripped-opt-125M.fp32.onnx.torch.mlir &> /tmp/torchopt.out | |
| /home/azureuser/torch-mlir/build/bin/torch-mlir-opt: /home/azureuser/miniconda/lib/libtinfo.so.6: no version information available (required by /home/azureuser/torch-mlir/build/bin/torch-mlir-opt) | |
| Args: /home/azureuser/torch-mlir/build/bin/torch-mlir-opt --convert-torch-to-linalg --convert-torch-to-tmtensor --debug -mlir-disable-threading -mlir-print-ir-after-all ./stripped-opt-125M.fp32.onnx.torch.mlir | |
| Load new dialect in Context builtin | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::ShapedType) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::MemRefLayoutAttrInterface) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::TypedAttr) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::ElementsAttr) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::DistinctAttr) |
renxida
/ assertion error cast
Created
January 31, 2024 03:54
Assertion `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"' failed. triggered by run.py --upto inference
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| /home/azureuser/iree-build/tools/iree-compile: /home/azureuser/miniconda/lib/libtinfo.so.6: no version information available (required by /home/azureuser/iree-build/lib/libIREECompiler.so) | |
| iree-compile: iree/third_party/llvm-project/llvm/include/llvm/Support/Casting.h:566: decltype(auto) llvm::cast(const From &) [To = mlir::DenseElementsAttr, From = mlir::Attribute]: Assertion `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"' failed. | |
| Please report issues to https://github.com/openxla/iree/issues and include the crash backtrace. | |
| Stack dump: | |
| 0. Program arguments: /home/azureuser/iree-build/tools/iree-compile --iree-hal-target-backends=llvm-cpu opt-125M.fp32.onnx.torch.mlir | |
| Stack dump without symbol names (ensure you have llvm-symbolizer in your PATH or set the environment var `LLVM_SYMBOLIZER_PATH` to point to it): | |
| 0 libIREECompiler.so 0x00007fed01436997 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) + 39 | |
| 1 libIREECompiler.so 0x00007fed01434bc0 llvm::sys::RunSignalHandlers() + 80 | |
| 2 libIREECo |
renxida
/ iree-compile-crash-during-mul.log
Created
January 31, 2024 03:53
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| /home/azureuser/iree-build/tools/iree-compile: /home/azureuser/miniconda/lib/libtinfo.so.6: no version information available (required by /home/azureuser/iree-build/lib/libIREECompiler.so) | |
| Args: /home/azureuser/iree-build/tools/iree-compile --iree-hal-target-backends=llvm-cpu -o output.vmfb stripped-opt-125M.fp32.onnx.torch.mlir --debug | |
| Load new dialect in Context builtin | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::ShapedType) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::MemRefLayoutAttrInterface) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::TypedAttr) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::ElementsAttr) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::DistinctAttr) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::BytecodeOpInterface) | |
| ImplicitTypeIDRegistry::lookupOrInsert(mlir::SymbolOpInterface) |
renxida
/ onnx_conditional_example.py
Last active
April 10, 2024 18:30
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| import onnx | |
| import numpy as np | |
| from onnx import numpy_helper, TensorProto, save_model | |
| from onnx.helper import make_model, make_node, make_graph, make_tensor_value_info | |
| from onnx.checker import check_model | |
| # condition has to be a float tensor | |
| condition = make_tensor_value_info('condition', TensorProto.FLOAT, [1]) |
renxida
/ conv_tbc_smoketest.py
Created
January 15, 2024 18:32
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| import gc | |
| import sys | |
| import torch | |
| import torch_mlir | |
| batch_size = 1 | |
| seq_len = 3 | |
| input_size = 5 | |
| hidden_size = 5 | |
| kernel_size = 3 |
renxida
/ dec8highpriorityonnxops.txt
Created
January 11, 2024 18:13
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| Add | |
| AveragePool | |
| BatchNormalization | |
| Cast | |
| Clip | |
| Concat | |
| Constant | |
| ConstantOfShape | |
| Conv |
renxida
/ settings.json
Created
January 11, 2024 17:49
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| // torch-mlir/.vscode/settings.json | |
| { | |
| "files.associations": { | |
| "*.inc": "cpp", | |
| "ranges": "cpp", | |
| "regex": "cpp", | |
| "functional": "cpp", | |
| "chrono": "cpp", | |
| "__functional_03": "cpp", | |
| "target": "cpp", |
renxida
/ gist:ee59f268af6304a54ae42f7358a9c973
Created
January 3, 2024 23:41
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| OVERVIEW: MLIR modular optimizer driver | |
| Available Dialects: builtin, chlo, complex, func, linalg, memref, ml_program, scf, sparse_tensor, stablehlo, tensor, tm_tensor, torch, torch_c, tosa, vhlo | |
| USAGE: torch-mlir-opt [options] <input file> | |
| OPTIONS: | |
| Color Options: | |
| --color - Use colors in output (default=autodetect) |
renxida
/ unsupported_fb_opt_ops.mlir
Last active
December 27, 2023 15:30
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| // RUN: torch-mlir-opt <%s -split-input-file -verify-diagnostics -convert-torch-onnx-to-torch | |
| // FB OPT OPS from https://github.com/llvm/torch-mlir/issues/2689 | |
| // ----- | |
| func.func @cast_operation(%arg0: !torch.vtensor<[?,?,?,?],si64>) -> !torch.vtensor<[?,?,?,?],f32> attributes {torch.onnx_meta.ir_version = 9 : si64, torch.onnx_meta.opset_version = 18 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} { | |
| // expected-error @+1 {{failed to legalize operation 'torch.operator'}} | |
| %208 = torch.operator "onnx.Cast"(%arg0) { | |
| torch.onnx.to = 1 : si64 | |
| } : (!torch.vtensor<[?,?,?,?],si64>) -> !torch.vtensor<[?,?,?,?],f32> | |
| return %208 : !torch.vtensor<[?,?,?,?],f32> |
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