pytorch

dfb1b959 - [caffe2] Add enforce inside ScatterAssignOp (#106882)

[caffe2] Add enforce inside ScatterAssignOp (#106882) Summary: Adding an enforce gives better error information than raising SIGFPE when division by zero happens. We'll get the actual BlobRef names as well as the error categories. Test Plan: Ran a local worker and client using DPP session with empty tensors and checked the error: `../buck-out/v2/gen/fbcode/data_preproc/perf_test/client --sr2_event_base_pool_size=24` `../buck-out/v2/gen/fbcode/data_preproc/perf_test/worker --dpp_session_id=5D49F56C98CC95BD97027BC0DDB38D8F` ```{dpp_internal_errorcategory : user_error, ONCALL : MLDP_CONTROL, CATEGORY : INPUT_ERROR, errorsubsystemtags : [DPP_WORKER], errorcause : USER_ERROR, RETRYABILITY : 0}F0806 17:47:52.607200 2280375 SchedRuntimeEnv.cpp:385] facebook::data_preproc::NonRetryableGenericUser Error: User preprocessing error c10::Error: [enforce fail at utility_ops.h:730] input.numel() > 0. 0 vs 0. tensor has t o be nonempty (Error from operator: input: "preproc_data_pipeline/preproc/features/default_feature_preproc/normalization/dper_feature_normalization/sparse_ features_processor_1/sparse_feature_transform/F3_ADFINDER_USER_ADS_COFFEE_LSF_FLEXIBLE_BATCH_USER_FB_UIP_FEATURE_IDSCOR ELIST_ENCODED_FB_UIP_TOP100_IDSCORELIST_ENCODED_1/sequential_1019/id_score_list_quantization_decode_1/Concat:0" input: "preproc_data_pipeline/preproc/features/default_feature_preproc/normalization/dper_feature_normalization/sparse_feature s_processor_1/sparse_feature_transform/F3_ADFINDER_USER_ADS_COFFEE_LSF_FLEXIBLE_BATCH_USER_FB_UIP_FEATURE_IDSCORELIST_E NCODED_FB_UIP_TOP100_IDSCORELIST_ENCODED_1/sequential_1019/id_score_list_quantization_decode_1/Mul_2" input: "preproc_d ata_pipeline/preproc/features/default_feature_preproc/normalization/dper_feature_normalization/sparse_features_processo r_1/sparse_feature_transform/F3_ADFINDER_USER_ADS_COFFEE_LSF_FLEXIBLE_BATCH_USER_FB_UIP_FEATURE_IDSCORELIST_ENCODED_FB_UIP_TOP100_IDSCORELIST_ENCODED_1/sequential_1019/id_score_list_quantization_decode_1/encoded_id_lengths" output: "preproc_data_pipeline/preproc/features/default_feature_preproc/normalization/dper_feature_normalization/sparse_features_processor_1/sparse_feature_transform/F3_ADFINDER_USER_ADS_COFFEE_LSF_FLEXIBLE_BATCH_USER_FB_UIP_FEATURE_IDSCORELIST_ENCODED_FB_UIP_TOP100_IDSCORELIST``` Differential Revision: D48104430 Pull Request resolved: https://github.com/pytorch/pytorch/pull/106882 Approved by: https://github.com/kit1980