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6e17571f2f
Fix issue that the generated context cache model inputs/outputs order is not guaranteed ### Description Currently, QNN EP generate the context cache model in Compile() method which only get access to the partitioned graph. And the inputs/outputs order for the partitioned graph is not guaranteed. And EP doesn't have the view of the input user model. Have to move the context cache model generation to a higher level in GraphPartitioner which has the view of the partitioned model. This is also a break down of PR for multi-partition support. https://github.com/microsoft/onnxruntime/pull/18865 |
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| .. | ||
| alloc_kind.h | ||
| allocator.h | ||
| buffer_deleter.h | ||
| customregistry.h | ||
| data_types.h | ||
| data_types_internal.h | ||
| endian.h | ||
| execution_provider.h | ||
| float8.h | ||
| float16.h | ||
| framework_common.h | ||
| framework_provider_common.h | ||
| func_api.h | ||
| kernel_def_builder.h | ||
| kernel_registry.h | ||
| op_kernel.h | ||
| op_kernel_context.h | ||
| op_kernel_info.h | ||
| op_node_proto_helper.h | ||
| ort_value.h | ||
| ortdevice.h | ||
| ortmemoryinfo.h | ||
| provider_options.h | ||
| provider_options_utils.h | ||
| provider_shutdown.h | ||
| run_options.h | ||
| sparse_tensor.h | ||
| stream_handles.h | ||
| tensor.h | ||
| tensor_shape.h | ||
| to_tensor_proto_element_type.h | ||