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Steps to Reproduce:
torch_nn_modules_container_Sequential_class_layers_1-> torch_nn_modules_pooling_AdaptiveAvgPool2d_class_layers_pool_1-> aten_mean_dim
IsScalar
import onnx m = onnx.load("Clara_DenseNet_dynamo.onnx") print(m.functions[-1])
yields
name: "IsScalar" input: "input" output: "return_val" node { input: "input" output: "tmp" name: "n0" op_type: "Shape" domain: "" } node { input: "tmp" output: "tmp_0" name: "n1" op_type: "Size" domain: "" } node { output: "tmp_1" name: "n2" op_type: "Constant" attribute { name: "value_int" i: 0 type: INT } domain: "" } node { input: "tmp_0" input: "tmp_1" output: "return_val" name: "n3" op_type: "Equal" domain: "" } doc_string: "Return whether the input has rank 0, or is a scalar." opset_import { domain: "" version: 18 } domain: "pkg.onnxscript.torch_lib.common"
Please attach or link model files to reproduce the issue.
Clara_DenseNet_dynamo.zip
Discovered from microsoft/onnxscript#1263
The text was updated successfully, but these errors were encountered:
Add ONNX test file (#1225)
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Steps to Reproduce:
torch_nn_modules_container_Sequential_class_layers_1-> torch_nn_modules_pooling_AdaptiveAvgPool2d_class_layers_pool_1-> aten_mean_dim
.IsScalar
does not have a definition associated with ityields
Please attach or link model files to reproduce the issue.
Clara_DenseNet_dynamo.zip
Discovered from microsoft/onnxscript#1263
The text was updated successfully, but these errors were encountered: