pytorch

1dd3fae3 - [pytorch] Add logging to mobile Method run (#44234)

[pytorch] Add logging to mobile Method run (#44234) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/44234 Changes mobile Method to point to a mobile Module directly instead of the Module ivalue in order to access metadata for logging/debugging, and then adds said logging. ghstack-source-id: 111775806 Test Plan: CI/existing unit tests to test BC Testing fb4a logging: Built fb4a on D23436351 (because usage of run_method isn't replaced yet in this diff), and then checked the Scuba logs to see that the appropriate ad clicks were logged (one ad for Buzzfeed shopping and another about Netflix from Bustle) {F328510687} {F328511201} [Scuba sample of QPL metrics](https://www.internalfb.com/intern/scuba/query/?dataset=qpl_metrics%2Fpytorch_employee&pool=uber&view=samples_client&drillstate=%7B%22sampleCols%22%3A[%22device_model%22%2C%22instance_id_sampled%22%2C%22method%22%2C%22ios_device_class%22%2C%22points_path%22%2C%22userid_sampled%22%2C%22client_sample_rate%22%2C%22browser_name%22%2C%22ios_device_name%22%2C%22points%22%2C%22is_employee%22%2C%22is_test_user%22%2C%22network_only_queries%22%2C%22annotations%22%2C%22oncall_shortname%22%2C%22environment_tags%22%2C%22revoked_queries%22%2C%22annotations_bool%22%2C%22points_data%22%2C%22annotations_double_array%22%2C%22annotations_string_array%22%2C%22revoked_steps%22%2C%22points_set%22%2C%22device_os_version%22%2C%22ota_version_rollout%22%2C%22steps%22%2C%22vadar_calculation_result%22%2C%22app_name%22%2C%22client_push_phase%22%2C%22vadar%22%2C%22release_channel%22%2C%22interaction_class%22%2C%22exposures%22%2C%22annotations_double%22%2C%22deviceid_sampled%22%2C%22is_logged_in%22%2C%22device_os%22%2C%22time%22%2C%22major_os_ver%22%2C%22annotations_int_array%22%2C%22duration_ns%22%2C%22app_build%22%2C%22bucket_id%22%2C%22cache_and_network_queries%22%2C%22value%22%2C%22vadar_v2%22%2C%22quicklog_event%22%2C%22unixname%22%2C%22vadar_calculation_result_v2%22%2C%22trace_tags%22%2C%22annotations_int%22%2C%22quicklog_module%22%2C%22push_phase%22%2C%22year_class%22%2C%22country%22%2C%22capped_duration%22%2C%22ram_class%22%2C%22weight%22%2C%22carrier%22%2C%22app_id%22%2C%22app_version%22%2C%22react_bundle_version%22%2C%22logging_source%22%2C%22is_unsampled_for_scuba%22%2C%22instrumentation_errors%22%2C%22android_cpu_abi_list%22%2C%22days_after_release%22%2C%22cpu_cores%22%2C%22user_bucket%22%2C%22quicklog_action%22%2C%22server_scuba_sample_rate%22%2C%22points_vector%22%2C%22annotations_bool_array%22%2C%22android_device_class%22%2C%22browser_full_version%22%2C%22major_app_ver%22]%2C%22derivedCols%22%3A[]%2C%22mappedCols%22%3A[]%2C%22enumCols%22%3A[]%2C%22hideEmptyColumns%22%3Afalse%2C%22focused_event%22%3A%22%22%2C%22show_metadata%22%3A%22false%22%2C%22start%22%3A%222020-09-08%2011%3A27%3A00%22%2C%22end%22%3A%22start%20%2B%201%20minute%22%2C%22timezone%22%3A%22America%2FLos_Angeles%22%2C%22samplingRatio%22%3A%221%22%2C%22num_samples%22%3A%22100%22%2C%22aggregateList%22%3A[]%2C%22param_dimensions%22%3A[]%2C%22modifiers%22%3A[]%2C%22order%22%3A%22none%22%2C%22order_desc%22%3Atrue%2C%22filterMode%22%3A%22DEFAULT%22%2C%22constraints%22%3A[[%7B%22column%22%3A%22quicklog_event%22%2C%22op%22%3A%22eq%22%2C%22value%22%3A[%22[%5C%22MOBILE_MODULE_STATS%5C%22]%22]%7D%2C%7B%22column%22%3A%22userid_sampled%22%2C%22op%22%3A%22eq%22%2C%22value%22%3A[%22[%5C%22100013484978975%5C%22]%22]%7D]]%2C%22c_constraints%22%3A[[]]%2C%22b_constraints%22%3A[[]]%2C%22metrik_view_params%22%3A%7B%22should_use_legacy_colors%22%3Afalse%2C%22columns_skip_formatting%22%3A[]%2C%22view%22%3A%22samples_client%22%2C%22width%22%3A%221358%22%2C%22height%22%3A%22912%22%2C%22tableID%22%3A%22qpl_metrics%2Fpytorch_employee%22%2C%22fitToContent%22%3Afalse%2C%22format_tooltip_in_percent%22%3Afalse%2C%22use_y_axis_hints_as_limits%22%3Atrue%2C%22has_dynamic_context_menu%22%3Atrue%2C%22has_context_menu%22%3Afalse%2C%22legend_mode%22%3A%22nongrid%22%2C%22connect_nulls%22%3Atrue%2C%22timezone_offset%22%3A420%2C%22timezone%22%3A%22America%2FLos_Angeles%22%2C%22y_min_hint%22%3A0%2C%22should_render_plugins_menu%22%3Afalse%7D%7D&normalized=1599581160) [Scuba sample showing ad source; just the bottom two results](https://www.internalfb.com/intern/scuba/query/?dataset=business_integrity_webpage_semantic&pool=uber&drillstate=%7B%22sampleCols%22%3A[%22from_custom_sampling%22%2C%22data_version%22%2C%22scribe_category_type%22%2C%22page_id%22%2C%22name%22%2C%22source_url%22%2C%22time%22%2C%22title_semantic%22%2C%22major_version%22%2C%22server_protocol%22%2C%22custom_sampling_enabled%22%2C%22ad_id%22%2C%22appversion%22%2C%22clienttime%22%2C%22isemployee%22%2C%22title%22%2C%22images%22%2C%22weight%22%2C%22carrier%22%2C%22is_ad%22%2C%22locale%22%2C%22appid%22%2C%22ip_country%22%2C%22iab_models%22]%2C%22derivedCols%22%3A[]%2C%22mappedCols%22%3A[]%2C%22enumCols%22%3A[]%2C%22return_remainder%22%3Afalse%2C%22should_pivot%22%3Afalse%2C%22is_timeseries%22%3Afalse%2C%22hideEmptyColumns%22%3Afalse%2C%22main_dimension%22%3A%22time%22%2C%22start%22%3A%22-5%20minutes%22%2C%22samplingRatio%22%3A%221%22%2C%22compare%22%3A%22none%22%2C%22axes%22%3A%22linked%22%2C%22overlay_types%22%3A[]%2C%22minBucketSamples%22%3A%22%22%2C%22dimensions%22%3A[]%2C%22scale_type%22%3A%22absolute%22%2C%22num_samples%22%3A%22100%22%2C%22metric%22%3A%22avg%22%2C%22fill_missing_buckets%22%3A%22connect%22%2C%22smoothing_bucket%22%3A%221%22%2C%22top%22%3A%227%22%2C%22markers%22%3A%22%22%2C%22timezone%22%3A%22America%2FLos_Angeles%22%2C%22end%22%3A%22now%22%2C%22show_p95_ci%22%3Afalse%2C%22time_bucket%22%3A%22auto%22%2C%22compare_mode%22%3A%22normal%22%2C%22aggregateList%22%3A[]%2C%22param_dimensions%22%3A[]%2C%22modifiers%22%3A[]%2C%22order%22%3A%22none%22%2C%22order_desc%22%3Atrue%2C%22filterMode%22%3A%22DEFAULT%22%2C%22constraints%22%3A[[%7B%22column%22%3A%22major_version%22%2C%22op%22%3A%22eq%22%2C%22value%22%3A[%22[%5C%22288%5C%22]%22]%7D]]%2C%22c_constraints%22%3A[[]]%2C%22b_constraints%22%3A[[]]%2C%22metrik_view_params%22%3A%7B%22should_use_legacy_colors%22%3Afalse%2C%22columns_skip_formatting%22%3A[]%2C%22view%22%3A%22time_view%22%2C%22width%22%3A%221358%22%2C%22height%22%3A%22912%22%2C%22tableID%22%3A%22business_integrity_webpage_semantic%22%2C%22fitToContent%22%3Afalse%2C%22format_tooltip_in_percent%22%3Afalse%2C%22use_y_axis_hints_as_limits%22%3Atrue%2C%22has_dynamic_context_menu%22%3Atrue%2C%22has_context_menu%22%3Afalse%2C%22legend_mode%22%3A%22nongrid%22%2C%22connect_nulls%22%3Atrue%2C%22timezone_offset%22%3A420%2C%22timezone%22%3A%22America%2FLos_Angeles%22%2C%22y_min_hint%22%3A0%2C%22should_render_plugins_menu%22%3Afalse%7D%7D&view=samples_client&normalized=1599587280) Reviewed By: iseeyuan Differential Revision: D23548687 fbshipit-source-id: 3e63085663f5fd8de90a4c7dbad0a17947aee973