We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Via onnxcli zhenhuaw-me/onnxcli#28
onnxcli
The model: https://github.com/zhenhuaw-me/onnxcli/blob/v0.2.0/assets/tests/conv.float32.onnx
Last pass version: v0.2.7
Log
2022-11-13 12:15:29,988 D [testing][test_dispatcher.py:34] Running optimize ./assets/tests/conv.float32.onnx optimized.onnx 2022-11-13 12:15:29,988 D [onnxcli][dispatcher.py:25] Running ['optimize', './assets/tests/conv.float32.onnx', 'optimized.onnx'] 2022-11-13 12:15:29,994 I [onnxcli][optimize.py:27] Running <Optimization> on model ./assets/tests/conv.float32.onnx 2022-11-13 12:15:30,483 W [onnxcli][optimize.py:38] No optimization passes specified, running all available passes: ['rename_input_output', 'set_unique_name_for_nodes', 'nop', 'eliminate_nop_cast', 'eliminate_nop_dropout', 'eliminate_nop_flatten', 'extract_constant_to_initializer', 'eliminate_if_with_const_cond', 'eliminate_nop_monotone_argmax', 'eliminate_nop_pad', 'eliminate_nop_expand', 'eliminate_shape_gather', 'eliminate_slice_after_shape', 'eliminate_nop_transpose', 'fuse_add_bias_into_conv', 'fuse_bn_into_conv', 'fuse_consecutive_concats', 'fuse_consecutive_log_softmax', 'fuse_consecutive_reduce_unsqueeze', 'fuse_consecutive_squeezes', 'fuse_consecutive_transposes', 'fuse_matmul_add_bias_into_gemm', 'fuse_pad_into_conv', 'fuse_pad_into_pool', 'fuse_transpose_into_gemm', 'replace_einsum_with_matmul', 'lift_lexical_references', 'split_init', 'split_predict', 'fuse_concat_into_reshape', 'eliminate_nop_reshape', 'eliminate_deadend', 'eliminate_identity', 'eliminate_shape_op', 'eliminate_unused_initializer', 'eliminate_duplicate_initializer'] Traceback (most recent call last): File "/Users/zhenhuaw/workspace/ONNX/onnxcli/tests/test_dispatcher.py", line 55, in <module> test_dispatch_core() File "/Users/zhenhuaw/workspace/ONNX/onnxcli/tests/test_dispatcher.py", line 36, in test_dispatch_core dispatch_core(shlex.split(cmd)) File "/Users/zhenhuaw/workspace/ONNX/onnxcli/onnxcli/dispatcher.py", line 40, in dispatch_core args.func(args) File "/Users/zhenhuaw/workspace/ONNX/onnxcli/onnxcli/optimize.py", line 44, in run optimized = onnxoptimizer.optimize(model, passes) File "/Users/zhenhuaw/workspace/toolchain/runtime.git/python/venv/onnx/lib/python3.10/site-packages/onnxoptimizer/__init__.py", line 50, in optimize optimized_model_str = C.optimize(model_str, passes) RuntimeError: Unresolved value references: Conv2D_bias,Variable/read,
The text was updated successfully, but these errors were encountered:
I reproduced this issue when pass is lift_lexical_references
# PYTHONPATH=/root/optimizer/ onnxoptimizer conv.float32.onnx conv.float32_sim.onnx -p lift_lexical_references Traceback (most recent call last): File "/usr/bin/onnxoptimizer", line 33, in <module> sys.exit(load_entry_point('onnxoptimizer', 'console_scripts', 'onnxoptimizer')()) File "/root/optimizer/onnxoptimizer/onnxoptimizer_main.py", line 77, in main model = onnxoptimizer.optimize(model=model, passes=passes, fixed_point=args.fixed_point) File "/root/optimizer/onnxoptimizer/__init__.py", line 50, in optimize optimized_model_str = C.optimize(model_str, passes) RuntimeError: Unresolved value references: Conv2D_bias,Variable/read,
Sorry, something went wrong.
No branches or pull requests
Via
onnxcli
zhenhuaw-me/onnxcli#28The model: https://github.com/zhenhuaw-me/onnxcli/blob/v0.2.0/assets/tests/conv.float32.onnx
Last pass version: v0.2.7
Log
The text was updated successfully, but these errors were encountered: