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For the below IR
module { func.func @maskrcnn(%arg0: !torch.vtensor<[],f32>) -> !torch.vtensor<[?,?,?,?],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 21 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "2.1.0"} { %cst = torch.operator "onnx.Constant"() {torch.onnx.value = dense_resource<__874> : tensor<1xsi64>} : () -> !torch.vtensor<[1],si64> %0 = torch.operator "onnx.Unsqueeze"(%arg0, %cst) : (!torch.vtensor<[],f32>, !torch.vtensor<[1],si64>) -> !torch.vtensor<[?,?,?,?],f32> return %0 : !torch.vtensor<[?,?,?,?],f32> } } {-# dialect_resources: { builtin: { __874: "0x080000000100000000000000" } } #-}
Getting the error
iree-compile: ~/iree/third_party/llvm-project/llvm/include/llvm/ADT/SmallVector.h:780: iterator llvm::SmallVectorImpl<long>::insert_one_impl(iterator, ArgType &&) [T = long, ArgType = long]: Assertion `this->isReferenceToStorage(I) && "Insertion iterator is out of bounds."' failed.
Command
iree-compile --iree-hal-target-backends=llvm-cpu --iree-llvmcpu-target-cpu=host -o test.vmfb model_torch_onnx.mlir
Models Impacted:
maskrcnn_resnet50_fpn_v2_Opset16_torchvision maskrcnn_resnet50_fpn_v2_Opset17_torchvision maskrcnn_resnet50_fpn_v2_Opset18_torchvision
The text was updated successfully, but these errors were encountered:
No branches or pull requests
For the below IR
Getting the error
Command
Models Impacted:
maskrcnn_resnet50_fpn_v2_Opset16_torchvision
maskrcnn_resnet50_fpn_v2_Opset17_torchvision
maskrcnn_resnet50_fpn_v2_Opset18_torchvision
The text was updated successfully, but these errors were encountered: