Add android target recipes and extensive model tests using ios and android recipes #14290
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14290
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit 98ab7f5 with merge base d40ce3f ( NEW FAILURE - The following job has failed:
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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…droid recipes (pytorch#14290) Summary: Changes in this diff: 1. Adds android target recipes using QNN backend. 2. Add extensive model lowering and accuracy checks using torchvision models. ``` from executorch.export import export qnn_android_recipe = get_android_recipe() # lower a model to pte session = export(model, recipe, example_inputs) out = session.run_method("forward", *example_inputs) ``` Differential Revision: D82284987
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Differential Revision: D82284987