==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/ops, configfile: ../../../../../../sault/virtual_test/virtualenv_005/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_ops_inplace_sign.py [WARNING] ME(168423:281472953773872,MainProcess):2026-01-29-17:38:18.456.110 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. TotalTime = 0.40186, [21] [bootstrap]: 0.00060386 [type_inference]: 0.224627 [event_method]: 2.676e-05 [auto_monad]: 0.00025829 [graph_reusing]: 7.65e-06 [inline]: 2.78e-06 [add_attr]: 0.168569, [1] [add_attr_with_inline]: 0.16855, [1] [Cycle 1]: 0.00011019, [2] [tag_attr]: 3.779e-05 [meta_addattr_fg_expand]: 8.13001e-06 [parallel-infer-symbol]: 4.57e-06 [pre_auto_parallel]: 5.914e-05 [insert-virtual-dataset]: 2.64001e-06 [parallel-infer-symbol-second]: 7.7e-07 [dataset_repeat_opt]: 2.25002e-06 [pipeline_split]: 2.03002e-06 [optimize]: 0.00681266, [53] [py_interpret_to_execute]: 4.30999e-06 [rewriter_before_opt_a]: 0.00030954 [opt_a]: 0.00402789, [2] [Cycle 1]: 0.00308142, [45] [expand_dump_flag]: 4.16001e-06 [switch_simplify]: 5.852e-05 [loop_unroll]: 4.103e-05 [a_1]: 0.00096845 [with_stream_mark]: 1.785e-05 [recompute_prepare]: 1.114e-05 [updatestate_depend_eliminate]: 6.98998e-06 [updatestate_assign_eliminate]: 5.46e-06 [updatestate_loads_eliminate]: 5.81e-06 [parameter_eliminate]: 2.46998e-06 [a_2]: 0.00013835 [accelerated_algorithm]: 9.32001e-06 [shard]: 2.35002e-06 [meta_shard_fg_expand]: 3.25e-06 [shard_inline]: 8.68001e-06 [merge_send_recv]: 1.102e-05 [auto_parallel]: 8.73001e-06 [parallel]: 5.162e-05 [flash_sp]: 9.94999e-06 [merge_comm]: 1.479e-05 [allreduce_fusion]: 5.20999e-06 [matmul_add_comm_reduction]: 1.307e-05 [allreduce_slice_to_reducescatter]: 7.7e-07 [virtual_shard_identity]: 1.107e-05 [virtual_dataset]: 8.79998e-06 [get_grad_eliminate_]: 8.42e-06 [virtual_output]: 8.49002e-06 [merge_forward]: 6.02999e-06 [cell_reuse_recompute_pass]: 1.37999e-06 [offload_activation]: 1.258e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.785e-05 [merge_recompute_call_nodes]: 1.66e-06 [before_grad]: 1.548e-05 [set_forward_comm_id_for_comm_node_pass]: 5.72001e-06 [meta_fg_expand]: 4.46002e-06 [flash_sp_send_recv_attached]: 2.33998e-06 [receive_attached]: 2.41e-06 [after_resolve]: 1.549e-05 [a_after_grad]: 1.368e-05 [renormalize]: 0.00114268 [add_forward_monad_depend]: 7.07997e-06 [auto_monad_grad]: 2.84999e-06 [auto_monad_eliminator]: 2.513e-05 [cse]: 4.074e-05 [a_3]: 6.93e-05 [Cycle 2]: 0.00093382, [45] [expand_dump_flag]: 1.64e-06 [switch_simplify]: 1.061e-05 [loop_unroll]: 8.15e-06 [a_1]: 0.00021567 [with_stream_mark]: 1.601e-05 [recompute_prepare]: 9.51e-06 [updatestate_depend_eliminate]: 6.07999e-06 [updatestate_assign_eliminate]: 4.41002e-06 [updatestate_loads_eliminate]: 4.62998e-06 [parameter_eliminate]: 1.76998e-06 [a_2]: 0.00012076 [accelerated_algorithm]: 9.21002e-06 [shard]: 1.32e-06 [meta_shard_fg_expand]: 2.21998e-06 [shard_inline]: 8.50001e-06 [merge_send_recv]: 7.87e-06 [auto_parallel]: 9.10999e-06 [parallel]: 6.83e-06 [flash_sp]: 3.21999e-06 [merge_comm]: 5.25999e-06 [allreduce_fusion]: 4.94e-06 [matmul_add_comm_reduction]: 8.38999e-06 [allreduce_slice_to_reducescatter]: 4.30009e-07 [virtual_shard_identity]: 9.04998e-06 [virtual_dataset]: 7.97e-06 [get_grad_eliminate_]: 7.97003e-06 [virtual_output]: 8.35001e-06 [merge_forward]: 5.19998e-06 [cell_reuse_recompute_pass]: 1.99999e-06 [offload_activation]: 1.081e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.691e-05 [merge_recompute_call_nodes]: 1.20999e-06 [before_grad]: 1.434e-05 [set_forward_comm_id_for_comm_node_pass]: 5.35999e-06 [meta_fg_expand]: 4.571e-05 [flash_sp_send_recv_attached]: 1.30999e-06 [receive_attached]: 1.86998e-06 [after_resolve]: 1.256e-05 [a_after_grad]: 1.231e-05 [renormalize]: 5.00004e-08 [add_forward_monad_depend]: 2.83e-06 [auto_monad_grad]: 1.59e-06 [auto_monad_eliminator]: 1.42e-05 [cse]: 2.108e-05 [a_3]: 5.409e-05 [py_interpret_to_execute_after_opt_a]: 6.17999e-06 [slice_cell_reuse_recomputed_activation]: 2.48002e-06 [rewriter_after_opt_a]: 4.049e-05 [convert_after_rewriter]: 1.43002e-06 [order_py_execute_after_rewriter]: 1.25001e-06 [mutable_eliminate]: 0.0007047 [opt_b]: 0.00030793, [1] [Cycle 1]: 0.00029862, [7] [b_1]: 0.00019829 [b_2]: 1.144e-05 [updatestate_depend_eliminate]: 1.039e-05 [updatestate_assign_eliminate]: 4.99e-06 [updatestate_loads_eliminate]: 5.09e-06 [renormalize]: 9.80013e-07 [cse]: 2.941e-05 [optimize_parallel_all_gather_comm]: 2.255e-05 [overlap_param_gather]: 2.06998e-06 [cconv]: 3.156e-05 [loop_unroll]: 0.00045185 [opt_after_cconv]: 0.00013985, [1] [Cycle 1]: 0.00013219, [7] [c_1]: 5.276e-05 [parameter_eliminate]: 3.5e-06 [updatestate_depend_eliminate]: 8.30999e-06 [updatestate_assign_eliminate]: 4.62998e-06 [updatestate_loads_eliminate]: 4.67e-06 [cse]: 2.419e-05 [renormalize]: 3.60014e-07 [remove_dup_value]: 1.98e-05 [tuple_transform]: 9.068e-05, [1] [Cycle 1]: 8.595e-05, [4] [d_1]: 5.636e-05 [none_parameter_eliminate]: 1.89e-06 [renormalize]: 2.09984e-07 [switch_simplify]: 9.47001e-06 [partial_unused_args_eliminate]: 2.01998e-06 [add_recomputation]: 8.207e-05 [cse_after_recomputation]: 2.89e-05, [1] [Cycle 1]: 2.301e-05, [1] [cse]: 1.697e-05 [environ_conv]: 2.055e-05 [swap_dp_allreduce_reducescatter]: 7.96001e-06 [bias_add_comm_swap]: 4.38999e-06 [label_micro_interleaved_index]: 5.20999e-06 [label_fine_grained_interleaved_index]: 3.53999e-06 [merge_cast_opt]: 1.40999e-06 [slice_recompute_activation]: 2.22001e-06 [micro_interleaved_order_control]: 3.10998e-06 [assign_add_opt]: 1.74998e-06 [ForceFp32Comm]: 1.05001e-06 [remove_cast_before_assign_add]: 1.07e-06 [full_micro_interleaved_order_control]: 2.73e-06 [reorder_send_recv_between_fp_bp]: 2.81e-06 [comm_op_add_attrs]: 1.50001e-06 [add_comm_op_reuse_tag]: 1.49998e-06 [interleave_split_concat_branches]: 1.34998e-06 [interleave_parallel_branches]: 1.42e-06 [overlap_opt_shard_in_pipeline]: 2.196e-05 [overlap_opt_shard_grad_in_pipeline]: 2.06e-06 [control_data_broadcast_order]: 2.028e-05 [grouped_pairwise_exchange_alltoall]: 1.67999e-06 [offloading_packed_experts]: 5.55001e-06 [overlap_recompute_and_grad_model_parallel]: 6.24001e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.29e-06 [overlap_recompute_allgather_and_fa_grad]: 1.98002e-06 [overlap_recompute_comm]: 2.73998e-06 [overlap_grad_ring_attention]: 1.644e-05 [overlap_grad_flash_sp]: 4.17e-05 [begin_end_overlap_inline]: 5.39992e-07 [split_matmul_comm_elemetwise]: 2.48998e-06 [split_layernorm_comm]: 2.27001e-06 [handle_group_info]: 1.34e-06 [symbol_engine_optimizer]: 9.794e-05, [1] [Cycle 1]: 9.26e-05, [6] [build]: 6.17001e-06 [elim_shapecalc]: 1.503e-05 [elim_not_effective]: 1.842e-05 [opt_reshape]: 9.19e-06 [fold_const_symbol]: 1.42e-05 [renormalize]: 3.69997e-07 [detach_backward]: 2.28002e-06 [pipeline_parallel_scheduler]: 1.91e-06 [auto_monad_reorder]: 0.00010224 [get_jit_bprop_graph]: 1.79e-06 [rewriter_after_jit_bprop_graph]: 5.71e-06 [opt_after_jit_grad]: 0.00052036 [validate]: 6.836e-05 Sums bootstrap : 0.000604s : 0.26% type_inference : 0.224627s : 96.71% event_method : 0.000027s : 0.01% auto_monad : 0.000258s : 0.11% graph_reusing : 0.000008s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000038s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000008s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000059s : 0.03% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000004s : 0.00% optimize.rewriter_before_opt_a : 0.000310s : 0.13% optimize.opt_a.expand_dump_flag : 0.000006s : 0.00% optimize.opt_a.switch_simplify : 0.000069s : 0.03% optimize.opt_a.loop_unroll : 0.000049s : 0.02% optimize.opt_a.a_1 : 0.001184s : 0.51% optimize.opt_a.with_stream_mark : 0.000034s : 0.01% optimize.opt_a.recompute_prepare : 0.000021s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000013s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% optimize.opt_a.parameter_eliminate : 0.000004s : 0.00% optimize.opt_a.a_2 : 0.000259s : 0.11% optimize.opt_a.accelerated_algorithm : 0.000019s : 0.01% optimize.opt_a.shard : 0.000004s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.00% optimize.opt_a.shard_inline : 0.000017s : 0.01% optimize.opt_a.merge_send_recv : 0.000019s : 0.01% optimize.opt_a.auto_parallel : 0.000018s : 0.01% optimize.opt_a.parallel : 0.000058s : 0.03% optimize.opt_a.flash_sp : 0.000013s : 0.01% optimize.opt_a.merge_comm : 0.000020s : 0.01% optimize.opt_a.allreduce_fusion : 0.000010s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000021s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000020s : 0.01% optimize.opt_a.virtual_dataset : 0.000017s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000016s : 0.01% optimize.opt_a.virtual_output : 0.000017s : 0.01% optimize.opt_a.merge_forward : 0.000011s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% optimize.opt_a.offload_activation : 0.000023s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000035s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000030s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000011s : 0.00% optimize.opt_a.meta_fg_expand : 0.000050s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000004s : 0.00% optimize.opt_a.receive_attached : 0.000004s : 0.00% optimize.opt_a.after_resolve : 0.000028s : 0.01% optimize.opt_a.a_after_grad : 0.000026s : 0.01% optimize.opt_a.renormalize : 0.001143s : 0.49% optimize.opt_a.add_forward_monad_depend : 0.000010s : 0.00% optimize.opt_a.auto_monad_grad : 0.000004s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000039s : 0.02% optimize.opt_a.cse : 0.000062s : 0.03% optimize.opt_a.a_3 : 0.000123s : 0.05% optimize.py_interpret_to_execute_after_opt_a : 0.000006s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000040s : 0.02% optimize.convert_after_rewriter : 0.000001s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.000705s : 0.30% optimize.opt_b.b_1 : 0.000198s : 0.09% optimize.opt_b.b_2 : 0.000011s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000010s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000029s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000023s : 0.01% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000032s : 0.01% optimize.loop_unroll : 0.000452s : 0.19% optimize.opt_after_cconv.c_1 : 0.000053s : 0.02% optimize.opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.cse : 0.000024s : 0.01% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000020s : 0.01% optimize.tuple_transform.d_1 : 0.000056s : 0.02% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000009s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000082s : 0.04% optimize.cse_after_recomputation.cse : 0.000017s : 0.01% optimize.environ_conv : 0.000021s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000004s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000002s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000002s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000022s : 0.01% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000020s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000006s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000016s : 0.01% optimize.overlap_grad_flash_sp : 0.000042s : 0.02% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000006s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000014s : 0.01% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000102s : 0.04% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000520s : 0.22% validate : 0.000068s : 0.03% Time group info: ------[substitution.] 0.000381 68 10.49% : 0.000040s : 5: substitution.arithmetic_simplify 2.35% : 0.000009s : 2: substitution.depend_value_elim 0.74% : 0.000003s : 5: substitution.elim_not_effective 0.60% : 0.000002s : 5: substitution.fold_const_symbol 2.05% : 0.000008s : 6: substitution.graph_param_transform 67.25% : 0.000256s : 7: substitution.inline 1.43% : 0.000005s : 10: substitution.j_node_and_user_rematch 2.13% : 0.000008s : 10: substitution.remove_not_recompute_node 1.11% : 0.000004s : 2: substitution.replace_old_param 3.61% : 0.000014s : 2: substitution.tuple_list_get_item_eliminator 4.61% : 0.000018s : 6: substitution.updatestate_pure_node_eliminater 3.62% : 0.000014s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.224537 2 99.40% : 0.223179s : 1: type_inference.infer 0.60% : 0.001358s : 1: type_inference.specialize ------[replace.] 0.000088 9 80.67% : 0.000071s : 7: replace.inline 19.33% : 0.000017s : 2: replace.tuple_list_get_item_eliminator ------[match.] 0.000264 9 95.27% : 0.000252s : 7: match.inline 4.73% : 0.000012s : 2: match.tuple_list_get_item_eliminator ------[predicate.] 0.000295 1841 0.97% : 0.000003s : 19: predicate.accumulaten_eliminater 0.83% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 0.52% : 0.000002s : 12: predicate.addn_check_dump 1.03% : 0.000003s : 19: predicate.addn_zero_filter 0.86% : 0.000003s : 19: predicate.adjust_all_reduce_mul_add 2.44% : 0.000007s : 31: predicate.arithmetic_simplify 0.98% : 0.000003s : 19: predicate.cast_eliminate 0.55% : 0.000002s : 12: predicate.check_bprop_eliminate 0.53% : 0.000002s : 12: predicate.compare_switch_simplify 0.17% : 0.000001s : 6: predicate.const_output_eliminate 0.64% : 0.000002s : 12: predicate.depend_value_elim 0.94% : 0.000003s : 19: predicate.dict_get_item_const_eliminator 1.00% : 0.000003s : 19: predicate.dict_get_item_eliminator 0.93% : 0.000003s : 19: predicate.dict_set_item_eliminator 0.98% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.26% : 0.000001s : 6: predicate.elim_not_effective 0.40% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.17% : 0.000003s : 25: predicate.environ_add_const_eliminate 1.27% : 0.000004s : 25: predicate.environ_get_add_eliminate 1.11% : 0.000003s : 25: predicate.environ_get_depend_swap 1.73% : 0.000005s : 37: predicate.environ_get_eliminate 1.27% : 0.000004s : 25: predicate.environ_get_set_eliminate 1.33% : 0.000004s : 28: predicate.exchange_switch_depend_value 2.16% : 0.000006s : 28: predicate.float_depend_g_call 0.54% : 0.000002s : 12: predicate.float_environ_get_switch 0.85% : 0.000003s : 18: predicate.float_tuple_getitem_switch 0.17% : 0.000001s : 6: predicate.fold_const_symbol 0.67% : 0.000002s : 12: predicate.get_grad_eliminate 0.47% : 0.000001s : 6: predicate.graph_param_transform 0.61% : 0.000002s : 12: predicate.incorporate_call 0.52% : 0.000002s : 12: predicate.incorporate_call_switch 5.72% : 0.000017s : 83: predicate.inline 0.80% : 0.000002s : 12: predicate.inline_without_move 0.30% : 0.000001s : 12: predicate.j_node_and_user_rematch 0.82% : 0.000002s : 12: predicate.less_batch_normalization 1.73% : 0.000005s : 33: predicate.list_to_tuple_eliminator_ 2.44% : 0.000007s : 52: predicate.load_eliminater 0.94% : 0.000003s : 6: predicate.loop_unroll_after_grad 2.35% : 0.000007s : 53: predicate.loop_unroll_before_grad 1.73% : 0.000005s : 31: predicate.make_slice_get_slice_eliminator 0.57% : 0.000002s : 12: predicate.merge_addn 0.55% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.64% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.87% : 0.000003s : 19: predicate.minmaximum_grad 1.28% : 0.000004s : 6: predicate.mutable_eliminate 0.34% : 0.000001s : 6: predicate.opt_reshape 0.35% : 0.000001s : 6: predicate.parallel_virtual_node 1.83% : 0.000005s : 28: predicate.partial_defer_inline 1.41% : 0.000004s : 27: predicate.partial_eliminate 0.90% : 0.000003s : 19: predicate.print_const_string_wrapper 0.57% : 0.000002s : 12: predicate.reduce_all_const_elim 1.25% : 0.000004s : 19: predicate.reduce_eliminate 2.58% : 0.000008s : 52: predicate.redundant_stop_gradient_eliminater 0.42% : 0.000001s : 12: predicate.remove_not_recompute_node 1.09% : 0.000003s : 33: predicate.replace_applicator 0.68% : 0.000002s : 12: predicate.replace_old_param 0.23% : 0.000001s : 6: predicate.reset_defer_inline 0.92% : 0.000003s : 19: predicate.reshape_eliminate 0.67% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.43% : 0.000001s : 6: predicate.row_tensor_eliminate 0.75% : 0.000002s : 12: predicate.same_eliminate 0.41% : 0.000001s : 12: predicate.set_cell_output_no_recompute 0.71% : 0.000002s : 12: predicate.shard_identity_eliminate 0.73% : 0.000002s : 12: predicate.special_op_eliminate 0.71% : 0.000002s : 12: predicate.specialize_transform 1.02% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 0.71% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.48% : 0.000001s : 6: predicate.switch_call_monad_eliminater 1.43% : 0.000004s : 28: predicate.switch_defer_inline 1.93% : 0.000006s : 40: predicate.switch_layer_defer_inline 5.33% : 0.000016s : 99: predicate.switch_simplify 0.99% : 0.000003s : 19: predicate.tile_eliminate 0.94% : 0.000003s : 19: predicate.transpose_eliminate 1.68% : 0.000005s : 31: predicate.tuple_list_convert_item_index_to_positive 1.63% : 0.000005s : 31: predicate.tuple_list_get_item_const_eliminator 1.60% : 0.000005s : 31: predicate.tuple_list_get_item_depend_reorder 3.15% : 0.000009s : 45: predicate.tuple_list_get_item_eliminator 1.57% : 0.000005s : 31: predicate.tuple_list_get_set_item_eliminator 2.27% : 0.000007s : 43: predicate.tuple_list_set_item_eliminator 1.55% : 0.000005s : 33: predicate.tuple_to_list_eliminator_ 2.42% : 0.000007s : 52: predicate.updatestate_pure_node_eliminater 3.28% : 0.000010s : 64: predicate.updatestate_useless_node_eliminater 0.30% : 0.000001s : 6: predicate.value_based_eliminate 0.68% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.65% : 0.000002s : 12: predicate.virtual_output_eliminate 0.35% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.43% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000948 15 52.07% : 0.000493s : 6: func_graph_cloner_run.FuncGraphClonerGraph 47.93% : 0.000454s : 9: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.580456 192 0.00% : 0.000004s : 1: ForceFp32Comm 29.04% : 0.168577s : 1: add_attr 29.04% : 0.168554s : 1: add_attr_with_inline 0.00% : 0.000005s : 1: add_comm_op_reuse_tag 0.01% : 0.000087s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.05% : 0.000269s : 1: auto_monad 0.02% : 0.000108s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000008s : 1: bias_add_comm_swap 0.11% : 0.000632s : 1: bootstrap 0.01% : 0.000036s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000024s : 1: control_data_broadcast_order 0.00% : 0.000005s : 1: convert_after_rewriter 0.01% : 0.000032s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000025s : 1: environ_conv 0.01% : 0.000034s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 0.00% : 0.000004s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000008s : 1: label_micro_interleaved_index 0.08% : 0.000462s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.12% : 0.000716s : 1: mutable_eliminate 0.00% : 0.000008s : 1: offloading_packed_experts 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000022s : 1: opt.transform.mutable_eliminate 0.32% : 0.001833s : 78: opt.transform.opt_a 0.01% : 0.000051s : 1: opt.transform.opt_after_cconv 0.01% : 0.000032s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000180s : 28: opt.transform.opt_b 0.01% : 0.000064s : 2: opt.transform.opt_trans_graph 0.01% : 0.000053s : 4: opt.transform.symbol_engine_opt 0.69% : 0.004031s : 1: opt_a 0.02% : 0.000143s : 1: opt_after_cconv 0.09% : 0.000530s : 1: opt_after_jit_grad 0.05% : 0.000312s : 1: opt_b 1.17% : 0.006819s : 1: optimize 0.00% : 0.000026s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000004s : 1: order_py_execute_after_rewriter 0.01% : 0.000045s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000020s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000025s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000005s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.01% : 0.000064s : 1: pre_auto_parallel 0.00% : 0.000008s : 1: py_interpret_to_execute 0.00% : 0.000009s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000024s : 1: remove_dup_value 0.10% : 0.000594s : 1: renormalize.infer 0.09% : 0.000538s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000044s : 1: rewriter_after_opt_a 0.05% : 0.000316s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000011s : 1: swap_dp_allreduce_reducescatter 0.02% : 0.000101s : 1: symbol_engine_optimizer 0.02% : 0.000094s : 1: tuple_transform 38.70% : 0.224653s : 1: type_inference TotalTime = 1.18129, [21] [bootstrap]: 0.00050694 [type_inference]: 0.490326 [event_method]: 0.00022157 [auto_monad]: 0.00035562 [graph_reusing]: 1.252e-05 [inline]: 3.50998e-06 [add_attr]: 0.0048391, [1] [add_attr_with_inline]: 0.00482574, [1] [Cycle 1]: 0.00012903, [2] [tag_attr]: 5.982e-05 [meta_addattr_fg_expand]: 1.312e-05 [parallel-infer-symbol]: 3.63999e-06 [pre_auto_parallel]: 8.806e-05 [insert-virtual-dataset]: 2.69001e-06 [parallel-infer-symbol-second]: 9.89996e-07 [dataset_repeat_opt]: 2.19999e-06 [pipeline_split]: 1.86e-06 [optimize]: 0.583765, [53] [py_interpret_to_execute]: 1.124e-05 [rewriter_before_opt_a]: 0.00047098 [opt_a]: 0.579906, [4] [Cycle 1]: 0.43818, [45] [expand_dump_flag]: 5.72999e-06 [switch_simplify]: 0.00018432 [loop_unroll]: 7.909e-05 [a_1]: 0.00201196 [with_stream_mark]: 4.112e-05 [recompute_prepare]: 3.617e-05 [updatestate_depend_eliminate]: 1.318e-05 [updatestate_assign_eliminate]: 1.066e-05 [updatestate_loads_eliminate]: 1.035e-05 [parameter_eliminate]: 3.87002e-06 [a_2]: 0.00031153 [accelerated_algorithm]: 2.308e-05 [shard]: 2.64999e-06 [meta_shard_fg_expand]: 6.98e-06 [shard_inline]: 1.969e-05 [merge_send_recv]: 2.387e-05 [auto_parallel]: 1.809e-05 [parallel]: 3.65e-05 [flash_sp]: 1.569e-05 [merge_comm]: 1.325e-05 [allreduce_fusion]: 1.146e-05 [matmul_add_comm_reduction]: 3.805e-05 [allreduce_slice_to_reducescatter]: 1.19998e-06 [virtual_shard_identity]: 2.534e-05 [virtual_dataset]: 2.315e-05 [get_grad_eliminate_]: 1.855e-05 [virtual_output]: 1.896e-05 [merge_forward]: 1.413e-05 [cell_reuse_recompute_pass]: 1.20999e-06 [offload_activation]: 2.326e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.146e-05 [merge_recompute_call_nodes]: 1.39e-06 [before_grad]: 4.901e-05 [set_forward_comm_id_for_comm_node_pass]: 1.56e-05 [meta_fg_expand]: 0.22782 [flash_sp_send_recv_attached]: 5.69999e-06 [receive_attached]: 2.46998e-06 [after_resolve]: 0.00014212 [a_after_grad]: 0.00019496 [renormalize]: 0.204108 [add_forward_monad_depend]: 3.907e-05 [auto_monad_grad]: 1.716e-05 [auto_monad_eliminator]: 0.00014127 [cse]: 0.00054616 [a_3]: 0.0015657 [Cycle 2]: 0.138566, [45] [expand_dump_flag]: 6.17999e-06 [switch_simplify]: 0.00011203 [loop_unroll]: 9.837e-05 [a_1]: 0.134601 [with_stream_mark]: 5.561e-05 [recompute_prepare]: 3.563e-05 [updatestate_depend_eliminate]: 1.251e-05 [updatestate_assign_eliminate]: 1.267e-05 [updatestate_loads_eliminate]: 1.239e-05 [parameter_eliminate]: 5.44e-06 [a_2]: 0.00047429 [accelerated_algorithm]: 1.592e-05 [shard]: 2.36998e-06 [meta_shard_fg_expand]: 6.60997e-06 [shard_inline]: 1.281e-05 [merge_send_recv]: 1.517e-05 [auto_parallel]: 1.477e-05 [parallel]: 1.154e-05 [flash_sp]: 4.86002e-06 [merge_comm]: 1.05e-05 [allreduce_fusion]: 1.005e-05 [matmul_add_comm_reduction]: 1.847e-05 [allreduce_slice_to_reducescatter]: 1.19e-06 [virtual_shard_identity]: 1.569e-05 [virtual_dataset]: 1.19e-05 [get_grad_eliminate_]: 1.26e-05 [virtual_output]: 1.176e-05 [merge_forward]: 1.019e-05 [cell_reuse_recompute_pass]: 1.61998e-06 [offload_activation]: 1.986e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.07e-05 [merge_recompute_call_nodes]: 1.56998e-06 [before_grad]: 2.303e-05 [set_forward_comm_id_for_comm_node_pass]: 1.021e-05 [meta_fg_expand]: 0.00018246 [flash_sp_send_recv_attached]: 2.07999e-06 [receive_attached]: 2.24999e-06 [after_resolve]: 2.45e-05 [a_after_grad]: 2.017e-05 [renormalize]: 0.00194116 [add_forward_monad_depend]: 1.066e-05 [auto_monad_grad]: 2.54999e-06 [auto_monad_eliminator]: 3.63e-05 [cse]: 0.00015809 [a_3]: 0.00010306 [Cycle 3]: 0.00207056, [45] [expand_dump_flag]: 2.91e-06 [switch_simplify]: 1.568e-05 [loop_unroll]: 1.305e-05 [a_1]: 0.0003465 [with_stream_mark]: 2.377e-05 [recompute_prepare]: 1.255e-05 [updatestate_depend_eliminate]: 5.414e-05 [updatestate_assign_eliminate]: 6.04001e-06 [updatestate_loads_eliminate]: 5.54e-06 [parameter_eliminate]: 2.39001e-06 [a_2]: 0.00014324 [accelerated_algorithm]: 1.107e-05 [shard]: 2.53998e-06 [meta_shard_fg_expand]: 2.72001e-06 [shard_inline]: 9.41e-06 [merge_send_recv]: 1.154e-05 [auto_parallel]: 1.266e-05 [parallel]: 1.138e-05 [flash_sp]: 2.43e-06 [merge_comm]: 5.56002e-06 [allreduce_fusion]: 5.61e-06 [matmul_add_comm_reduction]: 1.381e-05 [allreduce_slice_to_reducescatter]: 9.70002e-07 [virtual_shard_identity]: 1.139e-05 [virtual_dataset]: 1.005e-05 [get_grad_eliminate_]: 9.69999e-06 [virtual_output]: 9.27001e-06 [merge_forward]: 6.58e-06 [cell_reuse_recompute_pass]: 3.54002e-06 [offload_activation]: 1.408e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.057e-05 [merge_recompute_call_nodes]: 1.65001e-06 [before_grad]: 1.856e-05 [set_forward_comm_id_for_comm_node_pass]: 6.26998e-06 [meta_fg_expand]: 4.67e-06 [flash_sp_send_recv_attached]: 2.43e-06 [receive_attached]: 2.68e-06 [after_resolve]: 1.45e-05 [a_after_grad]: 1.539e-05 [renormalize]: 0.00079473 [add_forward_monad_depend]: 7.26999e-06 [auto_monad_grad]: 2.37999e-06 [auto_monad_eliminator]: 2.523e-05 [cse]: 4.776e-05 [a_3]: 7.788e-05 [Cycle 4]: 0.00105554, [45] [expand_dump_flag]: 2.32001e-06 [switch_simplify]: 1.19e-05 [loop_unroll]: 1.005e-05 [a_1]: 0.00026441 [with_stream_mark]: 1.392e-05 [recompute_prepare]: 1.072e-05 [updatestate_depend_eliminate]: 6.12999e-06 [updatestate_assign_eliminate]: 5.15001e-06 [updatestate_loads_eliminate]: 4.77998e-06 [parameter_eliminate]: 1.15001e-06 [a_2]: 0.00013705 [accelerated_algorithm]: 9.85002e-06 [shard]: 1.59998e-06 [meta_shard_fg_expand]: 2.89001e-06 [shard_inline]: 1.038e-05 [merge_send_recv]: 9.24e-06 [auto_parallel]: 9.77999e-06 [parallel]: 7.17997e-06 [flash_sp]: 1.07e-06 [merge_comm]: 5.42001e-06 [allreduce_fusion]: 5.82001e-06 [matmul_add_comm_reduction]: 1.02e-05 [allreduce_slice_to_reducescatter]: 7.99977e-07 [virtual_shard_identity]: 1.184e-05 [virtual_dataset]: 9.02e-06 [get_grad_eliminate_]: 9.04998e-06 [virtual_output]: 8.65001e-06 [merge_forward]: 5.98002e-06 [cell_reuse_recompute_pass]: 2.26998e-06 [offload_activation]: 1.591e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.101e-05 [merge_recompute_call_nodes]: 1.47001e-06 [before_grad]: 1.811e-05 [set_forward_comm_id_for_comm_node_pass]: 8.80001e-06 [meta_fg_expand]: 4.58999e-06 [flash_sp_send_recv_attached]: 1.42999e-06 [receive_attached]: 2.39999e-06 [after_resolve]: 1.448e-05 [a_after_grad]: 1.605e-05 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 1.69e-06 [auto_monad_grad]: 1.29e-06 [auto_monad_eliminator]: 1.556e-05 [cse]: 3.524e-05 [a_3]: 9.088e-05 [py_interpret_to_execute_after_opt_a]: 7.1e-06 [slice_cell_reuse_recomputed_activation]: 2.88998e-06 [rewriter_after_opt_a]: 3.687e-05 [convert_after_rewriter]: 1.77001e-06 [order_py_execute_after_rewriter]: 1.47999e-06 [mutable_eliminate]: 0.00081946 [opt_b]: 0.00093173, [2] [Cycle 1]: 0.00064671, [7] [b_1]: 0.00050113 [b_2]: 1.406e-05 [updatestate_depend_eliminate]: 1.112e-05 [updatestate_assign_eliminate]: 5.64e-06 [updatestate_loads_eliminate]: 4.70001e-06 [renormalize]: 6.89994e-07 [cse]: 6.437e-05 [Cycle 2]: 0.0002701, [7] [b_1]: 0.00018788 [b_2]: 9.65002e-06 [updatestate_depend_eliminate]: 5.44e-06 [updatestate_assign_eliminate]: 4.74e-06 [updatestate_loads_eliminate]: 4.42998e-06 [renormalize]: 5.9983e-08 [cse]: 2.389e-05 [optimize_parallel_all_gather_comm]: 3.389e-05 [overlap_param_gather]: 4.48001e-06 [cconv]: 3.611e-05 [loop_unroll]: 0.00059113 [opt_after_cconv]: 0.00016765, [1] [Cycle 1]: 0.00016107, [7] [c_1]: 5.945e-05 [parameter_eliminate]: 5.23002e-06 [updatestate_depend_eliminate]: 9.15001e-06 [updatestate_assign_eliminate]: 5.40999e-06 [updatestate_loads_eliminate]: 5.20999e-06 [cse]: 3.942e-05 [renormalize]: 4.39992e-07 [remove_dup_value]: 2.121e-05 [tuple_transform]: 9.897e-05, [1] [Cycle 1]: 9.395e-05, [4] [d_1]: 6.163e-05 [none_parameter_eliminate]: 1.86e-06 [renormalize]: 1.8999e-07 [switch_simplify]: 1.084e-05 [partial_unused_args_eliminate]: 2.37999e-06 [add_recomputation]: 8.323e-05 [cse_after_recomputation]: 3.708e-05, [1] [Cycle 1]: 3.154e-05, [1] [cse]: 2.551e-05 [environ_conv]: 8.47998e-06 [swap_dp_allreduce_reducescatter]: 8.92999e-06 [bias_add_comm_swap]: 3.07002e-06 [label_micro_interleaved_index]: 5.87999e-06 [label_fine_grained_interleaved_index]: 2.67001e-06 [merge_cast_opt]: 1.38002e-06 [slice_recompute_activation]: 2.70002e-06 [micro_interleaved_order_control]: 2.56e-06 [assign_add_opt]: 1.62001e-06 [ForceFp32Comm]: 7.79983e-07 [remove_cast_before_assign_add]: 1.02998e-06 [full_micro_interleaved_order_control]: 2.40002e-06 [reorder_send_recv_between_fp_bp]: 2.64999e-06 [comm_op_add_attrs]: 1.10999e-06 [add_comm_op_reuse_tag]: 1.10999e-06 [interleave_split_concat_branches]: 1.27999e-06 [interleave_parallel_branches]: 1.41002e-06 [overlap_opt_shard_in_pipeline]: 3.11001e-06 [overlap_opt_shard_grad_in_pipeline]: 2.00002e-06 [control_data_broadcast_order]: 2.139e-05 [grouped_pairwise_exchange_alltoall]: 1.94e-06 [offloading_packed_experts]: 5.75001e-06 [overlap_recompute_and_grad_model_parallel]: 6.22001e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.19998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.37e-06 [overlap_recompute_comm]: 2.36e-06 [overlap_grad_ring_attention]: 5.55001e-06 [overlap_grad_flash_sp]: 3.216e-05 [begin_end_overlap_inline]: 6.19999e-07 [split_matmul_comm_elemetwise]: 2.42001e-06 [split_layernorm_comm]: 2.14999e-06 [handle_group_info]: 1.70001e-06 [symbol_engine_optimizer]: 0.00010183, [1] [Cycle 1]: 9.647e-05, [6] [build]: 5.12e-06 [elim_shapecalc]: 1.501e-05 [elim_not_effective]: 1.904e-05 [opt_reshape]: 1.159e-05 [fold_const_symbol]: 1.605e-05 [renormalize]: 2.30008e-07 [detach_backward]: 2.39001e-06 [pipeline_parallel_scheduler]: 1.72001e-06 [auto_monad_reorder]: 3.635e-05 [get_jit_bprop_graph]: 2.22001e-06 [rewriter_after_jit_bprop_graph]: 7.11001e-06 [opt_after_jit_grad]: 0.100745 [validate]: 0.00012354 Sums bootstrap : 0.000507s : 0.04% type_inference : 0.490326s : 41.75% event_method : 0.000222s : 0.02% auto_monad : 0.000356s : 0.03% graph_reusing : 0.000013s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000060s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000013s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000088s : 0.01% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000011s : 0.00% optimize.rewriter_before_opt_a : 0.000471s : 0.04% optimize.opt_a.expand_dump_flag : 0.000017s : 0.00% optimize.opt_a.switch_simplify : 0.000324s : 0.03% optimize.opt_a.loop_unroll : 0.000201s : 0.02% optimize.opt_a.a_1 : 0.137223s : 11.68% optimize.opt_a.with_stream_mark : 0.000134s : 0.01% optimize.opt_a.recompute_prepare : 0.000095s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000086s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000035s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000033s : 0.00% optimize.opt_a.parameter_eliminate : 0.000013s : 0.00% optimize.opt_a.a_2 : 0.001066s : 0.09% optimize.opt_a.accelerated_algorithm : 0.000060s : 0.01% optimize.opt_a.shard : 0.000009s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000019s : 0.00% optimize.opt_a.shard_inline : 0.000052s : 0.00% optimize.opt_a.merge_send_recv : 0.000060s : 0.01% optimize.opt_a.auto_parallel : 0.000055s : 0.00% optimize.opt_a.parallel : 0.000067s : 0.01% optimize.opt_a.flash_sp : 0.000024s : 0.00% optimize.opt_a.merge_comm : 0.000035s : 0.00% optimize.opt_a.allreduce_fusion : 0.000033s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000081s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000004s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000064s : 0.01% optimize.opt_a.virtual_dataset : 0.000054s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000050s : 0.00% optimize.opt_a.virtual_output : 0.000049s : 0.00% optimize.opt_a.merge_forward : 0.000037s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000009s : 0.00% optimize.opt_a.offload_activation : 0.000073s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000114s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000006s : 0.00% optimize.opt_a.before_grad : 0.000109s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000041s : 0.00% optimize.opt_a.meta_fg_expand : 0.228012s : 19.41% optimize.opt_a.flash_sp_send_recv_attached : 0.000012s : 0.00% optimize.opt_a.receive_attached : 0.000010s : 0.00% optimize.opt_a.after_resolve : 0.000196s : 0.02% optimize.opt_a.a_after_grad : 0.000247s : 0.02% optimize.opt_a.renormalize : 0.206844s : 17.61% optimize.opt_a.add_forward_monad_depend : 0.000059s : 0.00% optimize.opt_a.auto_monad_grad : 0.000023s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000218s : 0.02% optimize.opt_a.cse : 0.000787s : 0.07% optimize.opt_a.a_3 : 0.001838s : 0.16% optimize.py_interpret_to_execute_after_opt_a : 0.000007s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000037s : 0.00% optimize.convert_after_rewriter : 0.000002s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.000819s : 0.07% optimize.opt_b.b_1 : 0.000689s : 0.06% optimize.opt_b.b_2 : 0.000024s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000017s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000010s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000009s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000088s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000034s : 0.00% optimize.overlap_param_gather : 0.000004s : 0.00% optimize.cconv : 0.000036s : 0.00% optimize.loop_unroll : 0.000591s : 0.05% optimize.opt_after_cconv.c_1 : 0.000059s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.cse : 0.000039s : 0.00% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000021s : 0.00% optimize.tuple_transform.d_1 : 0.000062s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000011s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000083s : 0.01% optimize.cse_after_recomputation.cse : 0.000026s : 0.00% optimize.environ_conv : 0.000008s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000009s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000003s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000002s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000003s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000021s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000006s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000006s : 0.00% optimize.overlap_grad_flash_sp : 0.000032s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000002s : 0.00% optimize.symbol_engine_optimizer.build : 0.000005s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000019s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000012s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000016s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000036s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.100745s : 8.58% validate : 0.000124s : 0.01% Time group info: ------[substitution.] 0.003566 383 4.28% : 0.000153s : 12: substitution.arithmetic_simplify 0.66% : 0.000023s : 8: substitution.depend_value_elim 0.09% : 0.000003s : 5: substitution.elim_not_effective 0.32% : 0.000011s : 14: substitution.float_depend_g_call 0.11% : 0.000004s : 2: substitution.float_tuple_getitem_switch 0.07% : 0.000002s : 5: substitution.fold_const_symbol 27.74% : 0.000989s : 4: substitution.getattr_setattr_resolve 0.22% : 0.000008s : 6: substitution.graph_param_transform 0.09% : 0.000003s : 2: substitution.incorporate_call 0.06% : 0.000002s : 2: substitution.incorporate_call_switch 44.44% : 0.001585s : 34: substitution.inline 1.12% : 0.000040s : 5: substitution.inline_without_move 0.94% : 0.000034s : 33: substitution.j_node_and_user_rematch 0.51% : 0.000018s : 12: substitution.minmaximum_grad 2.19% : 0.000078s : 14: substitution.partial_eliminate 0.79% : 0.000028s : 33: substitution.remove_not_recompute_node 2.83% : 0.000101s : 37: substitution.replace_applicator 0.54% : 0.000019s : 18: substitution.replace_old_param 0.24% : 0.000009s : 2: substitution.set_cell_output_no_recompute 0.39% : 0.000014s : 3: substitution.switch_simplify 1.21% : 0.000043s : 12: substitution.tuple_list_convert_item_index_to_positive 0.48% : 0.000017s : 12: substitution.tuple_list_get_item_const_eliminator 0.72% : 0.000026s : 12: substitution.tuple_list_get_item_depend_reorder 4.57% : 0.000163s : 34: substitution.tuple_list_get_item_eliminator 0.69% : 0.000025s : 12: substitution.tuple_list_get_set_item_eliminator 0.96% : 0.000034s : 20: substitution.updatestate_pure_node_eliminater 2.31% : 0.000082s : 29: substitution.updatestate_useless_node_eliminater 1.44% : 0.000051s : 1: substitution.zero_like_fill_zero ------[type_inference.] 0.490183 2 99.11% : 0.485798s : 1: type_inference.infer 0.89% : 0.004385s : 1: type_inference.specialize ------[replace.] 0.000998 65 1.89% : 0.000019s : 2: replace.arithmetic_simplify 6.96% : 0.000069s : 3: replace.getattr_setattr_resolve 43.81% : 0.000437s : 34: replace.inline 4.41% : 0.000044s : 1: replace.replace_applicator 5.31% : 0.000053s : 3: replace.switch_simplify 28.66% : 0.000286s : 20: replace.tuple_list_get_item_eliminator 5.55% : 0.000055s : 1: replace.updatestate_useless_node_eliminater 3.42% : 0.000034s : 1: replace.zero_like_fill_zero ------[match.] 0.002710 65 0.98% : 0.000026s : 2: match.arithmetic_simplify 34.66% : 0.000939s : 3: match.getattr_setattr_resolve 57.66% : 0.001563s : 34: match.inline 0.68% : 0.000018s : 1: match.replace_applicator 0.43% : 0.000012s : 3: match.switch_simplify 3.09% : 0.000084s : 20: match.tuple_list_get_item_eliminator 0.65% : 0.000018s : 1: match.updatestate_useless_node_eliminater 1.86% : 0.000050s : 1: match.zero_like_fill_zero ------[predicate.] 0.001527 9982 1.01% : 0.000015s : 102: predicate.accumulaten_eliminater 0.48% : 0.000007s : 6: predicate.ad_related_special_op_eliminate 0.48% : 0.000007s : 54: predicate.addn_check_dump 0.99% : 0.000015s : 102: predicate.addn_zero_filter 0.90% : 0.000014s : 102: predicate.adjust_all_reduce_mul_add 2.08% : 0.000032s : 153: predicate.arithmetic_simplify 1.02% : 0.000016s : 104: predicate.cast_eliminate 2.15% : 0.000033s : 245: predicate.check_bprop_eliminate 0.50% : 0.000008s : 54: predicate.compare_switch_simplify 0.10% : 0.000002s : 18: predicate.const_output_eliminate 0.49% : 0.000007s : 49: predicate.depend_value_elim 1.11% : 0.000017s : 104: predicate.dict_get_item_const_eliminator 1.05% : 0.000016s : 104: predicate.dict_get_item_eliminator 0.97% : 0.000015s : 104: predicate.dict_set_item_eliminator 0.48% : 0.000007s : 24: predicate.dumpgradient_eliminate 0.04% : 0.000001s : 6: predicate.elim_not_effective 0.10% : 0.000002s : 6: predicate.elim_shapecalc_of_broadcastargs 1.11% : 0.000017s : 122: predicate.environ_add_const_eliminate 1.13% : 0.000017s : 122: predicate.environ_get_add_eliminate 1.07% : 0.000016s : 122: predicate.environ_get_depend_swap 1.56% : 0.000024s : 171: predicate.environ_get_eliminate 1.07% : 0.000016s : 122: predicate.environ_get_set_eliminate 1.47% : 0.000022s : 158: predicate.exchange_switch_depend_value 2.13% : 0.000033s : 158: predicate.float_depend_g_call 0.48% : 0.000007s : 54: predicate.float_environ_get_switch 0.66% : 0.000010s : 72: predicate.float_tuple_getitem_switch 0.03% : 0.000001s : 6: predicate.fold_const_symbol 0.44% : 0.000007s : 40: predicate.get_grad_eliminate 0.41% : 0.000006s : 20: predicate.getattr_setattr_resolve 0.04% : 0.000001s : 6: predicate.graph_param_transform 0.47% : 0.000007s : 49: predicate.incorporate_call 0.41% : 0.000006s : 49: predicate.incorporate_call_switch 4.95% : 0.000076s : 378: predicate.inline 1.46% : 0.000022s : 115: predicate.inline_without_move 0.19% : 0.000003s : 40: predicate.j_node_and_user_rematch 0.62% : 0.000009s : 40: predicate.less_batch_normalization 1.56% : 0.000024s : 148: predicate.list_to_tuple_eliminator_ 2.32% : 0.000035s : 250: predicate.load_eliminater 0.21% : 0.000003s : 6: predicate.loop_unroll_after_grad 2.01% : 0.000031s : 217: predicate.loop_unroll_before_grad 1.22% : 0.000019s : 128: predicate.make_slice_get_slice_eliminator 0.50% : 0.000008s : 54: predicate.merge_addn 2.04% : 0.000031s : 241: predicate.micro_step_allgather_replace 2.12% : 0.000032s : 241: predicate.mini_step_allgather_replace 0.94% : 0.000014s : 104: predicate.minmaximum_grad 0.30% : 0.000005s : 7: predicate.mutable_eliminate 0.08% : 0.000001s : 6: predicate.opt_reshape 0.22% : 0.000003s : 18: predicate.parallel_virtual_node 2.20% : 0.000034s : 158: predicate.partial_defer_inline 1.33% : 0.000020s : 130: predicate.partial_eliminate 0.94% : 0.000014s : 102: predicate.print_const_string_wrapper 0.45% : 0.000007s : 49: predicate.reduce_all_const_elim 1.25% : 0.000019s : 104: predicate.reduce_eliminate 2.25% : 0.000034s : 250: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000004s : 40: predicate.remove_not_recompute_node 2.25% : 0.000034s : 367: predicate.replace_applicator 0.63% : 0.000010s : 115: predicate.replace_old_param 0.12% : 0.000002s : 18: predicate.reset_defer_inline 1.02% : 0.000016s : 104: predicate.reshape_eliminate 2.20% : 0.000034s : 241: predicate.row_tensor_add_zeros_like 0.22% : 0.000003s : 12: predicate.row_tensor_eliminate 2.42% : 0.000037s : 245: predicate.same_eliminate 0.26% : 0.000004s : 47: predicate.set_cell_output_no_recompute 0.46% : 0.000007s : 40: predicate.shard_identity_eliminate 0.28% : 0.000004s : 24: predicate.special_op_eliminate 0.61% : 0.000009s : 54: predicate.specialize_transform 2.29% : 0.000035s : 241: predicate.split_environ_get_set_with_tuple_value 1.32% : 0.000020s : 115: predicate.stack_unstack_eliminate 0.07% : 0.000001s : 6: predicate.switch_call_monad_eliminater 1.57% : 0.000024s : 158: predicate.switch_defer_inline 3.75% : 0.000057s : 403: predicate.switch_layer_defer_inline 4.64% : 0.000071s : 441: predicate.switch_simplify 0.99% : 0.000015s : 104: predicate.tile_eliminate 0.97% : 0.000015s : 104: predicate.transpose_eliminate 1.33% : 0.000020s : 128: predicate.tuple_list_convert_item_index_to_positive 1.40% : 0.000021s : 128: predicate.tuple_list_get_item_const_eliminator 1.31% : 0.000020s : 128: predicate.tuple_list_get_item_depend_reorder 2.61% : 0.000040s : 197: predicate.tuple_list_get_item_eliminator 1.33% : 0.000020s : 128: predicate.tuple_list_get_set_item_eliminator 2.08% : 0.000032s : 177: predicate.tuple_list_set_item_eliminator 1.39% : 0.000021s : 148: predicate.tuple_to_list_eliminator_ 2.32% : 0.000035s : 250: predicate.updatestate_pure_node_eliminater 2.90% : 0.000044s : 301: predicate.updatestate_useless_node_eliminater 0.19% : 0.000003s : 18: predicate.value_based_eliminate 0.45% : 0.000007s : 40: predicate.virtual_dataset_eliminate 0.41% : 0.000006s : 40: predicate.virtual_output_eliminate 0.07% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.26% : 0.000004s : 20: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.145911 71 98.11% : 0.143151s : 27: func_graph_cloner_run.FuncGraphClonerGraph 0.24% : 0.000344s : 6: func_graph_cloner_run.FuncGraphClonerNode 1.66% : 0.002416s : 38: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.119970 356 0.00% : 0.000004s : 1: ForceFp32Comm 0.23% : 0.004847s : 1: add_attr 0.23% : 0.004830s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000089s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.02% : 0.000372s : 1: auto_monad 0.00% : 0.000041s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.03% : 0.000541s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000025s : 1: control_data_broadcast_order 0.00% : 0.000005s : 1: convert_after_rewriter 0.00% : 0.000040s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000012s : 1: environ_conv 0.01% : 0.000236s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000019s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000005s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.03% : 0.000601s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.04% : 0.000832s : 1: mutable_eliminate 0.00% : 0.000009s : 1: offloading_packed_experts 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000024s : 1: opt.transform.mutable_eliminate 6.67% : 0.141464s : 181: opt.transform.opt_a 0.00% : 0.000058s : 1: opt.transform.opt_after_cconv 0.00% : 0.000072s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000610s : 83: opt.transform.opt_b 0.05% : 0.001127s : 2: opt.transform.opt_resolve 0.00% : 0.000070s : 2: opt.transform.opt_trans_graph 0.00% : 0.000057s : 4: opt.transform.symbol_engine_opt 27.35% : 0.579911s : 1: opt_a 0.01% : 0.000171s : 1: opt_after_cconv 4.75% : 0.100771s : 1: opt_after_jit_grad 0.04% : 0.000937s : 1: opt_b 27.54% : 0.583772s : 1: optimize 0.00% : 0.000038s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000004s : 1: order_py_execute_after_rewriter 0.00% : 0.000036s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000009s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000007s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000008s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000009s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.00% : 0.000096s : 1: pre_auto_parallel 0.00% : 0.000015s : 1: py_interpret_to_execute 0.00% : 0.000010s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000025s : 1: remove_dup_value 9.50% : 0.201342s : 3: renormalize.infer 0.26% : 0.005466s : 3: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000041s : 1: rewriter_after_opt_a 0.02% : 0.000486s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000105s : 1: symbol_engine_optimizer 0.00% : 0.000102s : 1: tuple_transform 23.13% : 0.490363s : 1: type_inference . [hook] pytest_runtest_teardown:test_inplace_sign[0] tests/st/ops/test_ops_inplace_sign.py::test_inplace_sign[0],max_mem:4.0M [WARNING] ME(168423:281472953773872,MainProcess):2026-01-29-17:39:04.214.623 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. . [hook] pytest_runtest_teardown:test_inplace_sign[1] tests/st/ops/test_ops_inplace_sign.py::test_inplace_sign[1],max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 25 warnings in 132.51s (0:02:12) ==================