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following the basic example in readme, (swap man1 and man2 into mans1.jpeg) it does not generate the face swap and it throws:
running on a mac, CPU provider
2024-04-10 10:17:33.073537 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running CoreML_11777492068329204276_6 node. Name:'CoreMLExecutionProvider_CoreML_11777492068329204276_6_6' Status Message: Exception: /Users/runner/work/1/s/onnxruntime/core/providers/coreml/model/model.mm:71 InlinedVector<int64_t> (anonymous namespace)::GetStaticOutputShape(gsl::span<const int64_t>, gsl::span<const int64_t>, const logging::Logger &) inferred_shape.size() == coreml_static_shape.size() was false. CoreML static output shape ({1,1,1,800,1}) and inferred shape ({3200,1}) have different ranks.
The text was updated successfully, but these errors were encountered:
bamtheboozle
changed the title
non zero code when running the example in readme
output and inferred shape have different ranks - when running the example in readme
Apr 10, 2024
following the basic example in readme, (swap man1 and man2 into mans1.jpeg) it does not generate the face swap and it throws:
running on a mac, CPU provider
2024-04-10 10:17:33.073537 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running CoreML_11777492068329204276_6 node. Name:'CoreMLExecutionProvider_CoreML_11777492068329204276_6_6' Status Message: Exception: /Users/runner/work/1/s/onnxruntime/core/providers/coreml/model/model.mm:71 InlinedVector<int64_t> (anonymous namespace)::GetStaticOutputShape(gsl::span<const int64_t>, gsl::span<const int64_t>, const logging::Logger &) inferred_shape.size() == coreml_static_shape.size() was false. CoreML static output shape ({1,1,1,800,1}) and inferred shape ({3200,1}) have different ranks.
The text was updated successfully, but these errors were encountered: