Add ability to set CoreML EP flags from python #21434
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```py
provider_options = [{'flags': 'COREML_FLAG_ONLY_ALLOW_STATIC_INPUT_SHAPES|COREML_FLAG_CREATE_MLPROGRAM'}, {}]
s = ort.InferenceSession('model.onnx', so, providers=['CoreMLExecutionProvider', 'CPUExecutionProvider'],
provider_options=provider_options)
```py
edgchen1
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Jul 22, 2024
edgchen1
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Jul 23, 2024
skottmckay
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Jul 24, 2024
- Add Concat (#21423) - Add DepthToSpace (#21426) - Add LeakyRelu (#21453) - Add test scripts (#21427) - Add ability to set coreml flags from python (#21434) Also updated partitioning utils to support dropping constant initializers from a ComputeCapability's inputs. We copy these to a CoreML model so don't need the originals. If they remain as inputs ORT can't free them as they appear to be in use. Misc changes - Fix SkipLayerNormFusion incorrectly setting `modified` - causes unnecessary loops of the L2 transformers
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Included in #21472 |
skottmckay
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Jul 25, 2024
…#21472) ### Description <!-- Describe your changes. --> Add these changes to one PR to simplify checkin - Add Concat (#21423) - Add DepthToSpace (#21426) - Add LeakyRelu (#21453) - Add test scripts (#21427) - Add ability to set coreml flags from python (#21434) Other changes - updated partitioning utils to support dropping constant initializers from a ComputeCapability's inputs. - noticed that the list of inputs to the coreml model was unexpectedly long due to this - we copy constant initializers to a CoreML model so don't need the originals, and if they remain as inputs ORT can't free them as they appear to be in use. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. -->
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Description
Add parsing of provider options for CoreML EP.
Motivation and Context
Enable running with ML Program from python