==================================================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/mint, configfile: ../../../../../../sault/virtual_test/virtualenv_007/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_chunk.py TotalTime = 0.681251, [21] [bootstrap]: 0.00063484 [type_inference]: 0.322579 [event_method]: 0.00016275 [auto_monad]: 0.00043321 [graph_reusing]: 1.069e-05 [inline]: 3.16001e-06 [add_attr]: 0.142787, [1] [add_attr_with_inline]: 0.142769, [1] [Cycle 1]: 0.00015664, [2] [tag_attr]: 5.979e-05 [meta_addattr_fg_expand]: 1.507e-05 [parallel-infer-symbol]: 3.56999e-06 [pre_auto_parallel]: 8.345e-05 [insert-virtual-dataset]: 2.73e-06 [parallel-infer-symbol-second]: 1.27e-06 [dataset_repeat_opt]: 2.01998e-06 [pipeline_split]: 1.69998e-06 [optimize]: 0.20069, [53] [py_interpret_to_execute]: 9.67001e-06 [rewriter_before_opt_a]: 0.00049216 [opt_a]: 0.196136, [3] [Cycle 1]: 0.186364, [45] [expand_dump_flag]: 5.46e-06 [switch_simplify]: 0.00011149 [loop_unroll]: 9.141e-05 [a_1]: 0.00295417 [with_stream_mark]: 5.493e-05 [recompute_prepare]: 5.795e-05 [updatestate_depend_eliminate]: 0.00010031 [updatestate_assign_eliminate]: 2.085e-05 [updatestate_loads_eliminate]: 7.744e-05 [parameter_eliminate]: 5.53002e-06 [a_2]: 0.00051615 [accelerated_algorithm]: 7.067e-05 [shard]: 2.63e-06 [meta_shard_fg_expand]: 8.99e-06 [shard_inline]: 3.099e-05 [merge_send_recv]: 3.225e-05 [auto_parallel]: 2.64e-05 [parallel]: 5.75e-05 [flash_sp]: 2.754e-05 [merge_comm]: 2.114e-05 [allreduce_fusion]: 1.841e-05 [matmul_add_comm_reduction]: 4.984e-05 [allreduce_slice_to_reducescatter]: 1.32e-06 [virtual_shard_identity]: 3.778e-05 [virtual_dataset]: 2.974e-05 [get_grad_eliminate_]: 2.722e-05 [virtual_output]: 2.814e-05 [merge_forward]: 2.013e-05 [cell_reuse_recompute_pass]: 2.86e-06 [offload_activation]: 4.774e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.52e-05 [merge_recompute_call_nodes]: 2.17001e-06 [before_grad]: 5.443e-05 [set_forward_comm_id_for_comm_node_pass]: 2.261e-05 [meta_fg_expand]: 0.065213 [flash_sp_send_recv_attached]: 9.92999e-06 [receive_attached]: 3.25002e-06 [after_resolve]: 0.00014901 [a_after_grad]: 0.00019774 [renormalize]: 0.113471 [add_forward_monad_depend]: 2.491e-05 [auto_monad_grad]: 1.396e-05 [auto_monad_eliminator]: 0.00013837 [cse]: 0.00043097 [a_3]: 0.00152138 [Cycle 2]: 0.00773688, [45] [expand_dump_flag]: 4.37998e-06 [switch_simplify]: 0.00010228 [loop_unroll]: 9.029e-05 [a_1]: 0.00355142 [with_stream_mark]: 3.871e-05 [recompute_prepare]: 2.951e-05 [updatestate_depend_eliminate]: 4.169e-05 [updatestate_assign_eliminate]: 1.578e-05 [updatestate_loads_eliminate]: 1.895e-05 [parameter_eliminate]: 2.84001e-06 [a_2]: 0.0003344 [accelerated_algorithm]: 2.989e-05 [shard]: 2.38002e-06 [meta_shard_fg_expand]: 5.56e-06 [shard_inline]: 1.961e-05 [merge_send_recv]: 2.012e-05 [auto_parallel]: 2.144e-05 [parallel]: 1.061e-05 [flash_sp]: 4.72e-06 [merge_comm]: 1.434e-05 [allreduce_fusion]: 1.276e-05 [matmul_add_comm_reduction]: 2.219e-05 [allreduce_slice_to_reducescatter]: 1.41998e-06 [virtual_shard_identity]: 2.325e-05 [virtual_dataset]: 1.942e-05 [get_grad_eliminate_]: 1.914e-05 [virtual_output]: 1.93e-05 [merge_forward]: 1.329e-05 [cell_reuse_recompute_pass]: 2.10002e-06 [offload_activation]: 2.489e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.581e-05 [merge_recompute_call_nodes]: 1.94e-06 [before_grad]: 3.74e-05 [set_forward_comm_id_for_comm_node_pass]: 1.368e-05 [meta_fg_expand]: 9.669e-05 [flash_sp_send_recv_attached]: 2.27001e-06 [receive_attached]: 2.32999e-06 [after_resolve]: 2.875e-05 [a_after_grad]: 3.141e-05 [renormalize]: 0.00222078 [add_forward_monad_depend]: 9.89999e-06 [auto_monad_grad]: 2.60002e-06 [auto_monad_eliminator]: 4.255e-05 [cse]: 0.00018372 [a_3]: 0.00015164 [Cycle 3]: 0.00201191, [45] [expand_dump_flag]: 2.79999e-06 [switch_simplify]: 2.321e-05 [loop_unroll]: 1.926e-05 [a_1]: 0.00061696 [with_stream_mark]: 2.905e-05 [recompute_prepare]: 2.208e-05 [updatestate_depend_eliminate]: 1.381e-05 [updatestate_assign_eliminate]: 1.302e-05 [updatestate_loads_eliminate]: 1.727e-05 [parameter_eliminate]: 2.34001e-06 [a_2]: 0.00031253 [accelerated_algorithm]: 2.827e-05 [shard]: 2.22001e-06 [meta_shard_fg_expand]: 4.87e-06 [shard_inline]: 1.981e-05 [merge_send_recv]: 1.916e-05 [auto_parallel]: 1.782e-05 [parallel]: 9.96998e-06 [flash_sp]: 1.64e-06 [merge_comm]: 1.311e-05 [allreduce_fusion]: 1.23e-05 [matmul_add_comm_reduction]: 2.19e-05 [allreduce_slice_to_reducescatter]: 7.10017e-07 [virtual_shard_identity]: 2.18e-05 [virtual_dataset]: 1.934e-05 [get_grad_eliminate_]: 1.846e-05 [virtual_output]: 1.808e-05 [merge_forward]: 1.247e-05 [cell_reuse_recompute_pass]: 2.91e-06 [offload_activation]: 2.362e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.365e-05 [merge_recompute_call_nodes]: 1.40999e-06 [before_grad]: 3.91e-05 [set_forward_comm_id_for_comm_node_pass]: 1.364e-05 [meta_fg_expand]: 8.32998e-06 [flash_sp_send_recv_attached]: 2.01e-06 [receive_attached]: 2.27001e-06 [after_resolve]: 2.431e-05 [a_after_grad]: 3.028e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 3.51999e-06 [auto_monad_grad]: 2.53e-06 [auto_monad_eliminator]: 3.481e-05 [cse]: 7.687e-05 [a_3]: 0.00013614 [py_interpret_to_execute_after_opt_a]: 7.82002e-06 [slice_cell_reuse_recomputed_activation]: 2.07999e-06 [rewriter_after_opt_a]: 8.777e-05 [convert_after_rewriter]: 1.94e-06 [order_py_execute_after_rewriter]: 1.27e-06 [mutable_eliminate]: 0.00080991 [opt_b]: 0.0007415, [1] [Cycle 1]: 0.00073223, [7] [b_1]: 0.00053141 [b_2]: 2.408e-05 [updatestate_depend_eliminate]: 2.027e-05 [updatestate_assign_eliminate]: 1.329e-05 [updatestate_loads_eliminate]: 1.805e-05 [renormalize]: 8.2e-07 [cse]: 7.889e-05 [optimize_parallel_all_gather_comm]: 3.982e-05 [overlap_param_gather]: 2.39999e-06 [cconv]: 3.836e-05 [loop_unroll]: 0.00053234 [opt_after_cconv]: 0.00030172, [1] [Cycle 1]: 0.00029348, [7] [c_1]: 0.00013561 [parameter_eliminate]: 5.76e-06 [updatestate_depend_eliminate]: 1.686e-05 [updatestate_assign_eliminate]: 1.245e-05 [updatestate_loads_eliminate]: 1.675e-05 [cse]: 6.528e-05 [renormalize]: 5.00004e-07 [remove_dup_value]: 7.703e-05 [tuple_transform]: 0.00023349, [1] [Cycle 1]: 0.00022752, [4] [d_1]: 0.00018086 [none_parameter_eliminate]: 2.48e-06 [renormalize]: 2.3999e-07 [switch_simplify]: 2.17e-05 [partial_unused_args_eliminate]: 1.82999e-06 [add_recomputation]: 0.00014997 [cse_after_recomputation]: 6.605e-05, [1] [Cycle 1]: 6.018e-05, [1] [cse]: 5.181e-05 [environ_conv]: 2.218e-05 [swap_dp_allreduce_reducescatter]: 1.889e-05 [bias_add_comm_swap]: 2.83e-06 [label_micro_interleaved_index]: 4.70001e-06 [label_fine_grained_interleaved_index]: 2.94999e-06 [merge_cast_opt]: 1.38002e-06 [slice_recompute_activation]: 1.94999e-06 [micro_interleaved_order_control]: 2.61999e-06 [assign_add_opt]: 1.46002e-06 [ForceFp32Comm]: 8.50006e-07 [remove_cast_before_assign_add]: 1.04998e-06 [full_micro_interleaved_order_control]: 2.55002e-06 [reorder_send_recv_between_fp_bp]: 2.69001e-06 [comm_op_add_attrs]: 1.40001e-06 [add_comm_op_reuse_tag]: 1.00001e-06 [interleave_split_concat_branches]: 1.20999e-06 [interleave_parallel_branches]: 1.05999e-06 [overlap_opt_shard_in_pipeline]: 2.603e-05 [overlap_opt_shard_grad_in_pipeline]: 1.75001e-06 [control_data_broadcast_order]: 3.961e-05 [grouped_pairwise_exchange_alltoall]: 1.55001e-06 [offloading_packed_experts]: 1.029e-05 [overlap_recompute_and_grad_model_parallel]: 1.015e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.24998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.39e-06 [overlap_recompute_comm]: 2.99999e-06 [overlap_grad_ring_attention]: 1.008e-05 [overlap_grad_flash_sp]: 6.785e-05 [begin_end_overlap_inline]: 9.09989e-07 [split_matmul_comm_elemetwise]: 2.39001e-06 [split_layernorm_comm]: 2.21e-06 [handle_group_info]: 1.02998e-06 [symbol_engine_optimizer]: 0.00044292, [1] [Cycle 1]: 0.00043673, [6] [build]: 0.00023246 [elim_shapecalc]: 3.159e-05 [elim_not_effective]: 5.3e-05 [opt_reshape]: 2.104e-05 [fold_const_symbol]: 5.331e-05 [renormalize]: 4.49974e-07 [detach_backward]: 2.36998e-06 [pipeline_parallel_scheduler]: 1.74998e-06 [auto_monad_reorder]: 8.184e-05 [get_jit_bprop_graph]: 1.68997e-06 [rewriter_after_jit_bprop_graph]: 4.36002e-06 [opt_after_jit_grad]: 0.0134204 [validate]: 0.00011738 Sums bootstrap : 0.000635s : 0.12% type_inference : 0.322579s : 60.10% event_method : 0.000163s : 0.03% auto_monad : 0.000433s : 0.08% graph_reusing : 0.000011s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000060s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000015s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000083s : 0.02% 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 : 0.000010s : 0.00% optimize.rewriter_before_opt_a : 0.000492s : 0.09% optimize.opt_a.expand_dump_flag : 0.000013s : 0.00% optimize.opt_a.switch_simplify : 0.000237s : 0.04% optimize.opt_a.loop_unroll : 0.000201s : 0.04% optimize.opt_a.a_1 : 0.007123s : 1.33% optimize.opt_a.with_stream_mark : 0.000123s : 0.02% optimize.opt_a.recompute_prepare : 0.000110s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000156s : 0.03% optimize.opt_a.updatestate_assign_eliminate : 0.000050s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000114s : 0.02% optimize.opt_a.parameter_eliminate : 0.000011s : 0.00% optimize.opt_a.a_2 : 0.001163s : 0.22% optimize.opt_a.accelerated_algorithm : 0.000129s : 0.02% optimize.opt_a.shard : 0.000007s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000019s : 0.00% optimize.opt_a.shard_inline : 0.000070s : 0.01% optimize.opt_a.merge_send_recv : 0.000072s : 0.01% optimize.opt_a.auto_parallel : 0.000066s : 0.01% optimize.opt_a.parallel : 0.000078s : 0.01% optimize.opt_a.flash_sp : 0.000034s : 0.01% optimize.opt_a.merge_comm : 0.000049s : 0.01% optimize.opt_a.allreduce_fusion : 0.000043s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000094s : 0.02% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000083s : 0.02% optimize.opt_a.virtual_dataset : 0.000068s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000065s : 0.01% optimize.opt_a.virtual_output : 0.000066s : 0.01% optimize.opt_a.merge_forward : 0.000046s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% optimize.opt_a.offload_activation : 0.000096s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000155s : 0.03% optimize.opt_a.merge_recompute_call_nodes : 0.000006s : 0.00% optimize.opt_a.before_grad : 0.000131s : 0.02% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000050s : 0.01% optimize.opt_a.meta_fg_expand : 0.065318s : 12.17% optimize.opt_a.flash_sp_send_recv_attached : 0.000014s : 0.00% optimize.opt_a.receive_attached : 0.000008s : 0.00% optimize.opt_a.after_resolve : 0.000202s : 0.04% optimize.opt_a.a_after_grad : 0.000259s : 0.05% optimize.opt_a.renormalize : 0.115691s : 21.56% optimize.opt_a.add_forward_monad_depend : 0.000038s : 0.01% optimize.opt_a.auto_monad_grad : 0.000019s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000216s : 0.04% optimize.opt_a.cse : 0.000692s : 0.13% optimize.opt_a.a_3 : 0.001809s : 0.34% optimize.py_interpret_to_execute_after_opt_a : 0.000008s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000088s : 0.02% optimize.convert_after_rewriter : 0.000002s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.000810s : 0.15% optimize.opt_b.b_1 : 0.000531s : 0.10% optimize.opt_b.b_2 : 0.000024s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000020s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000013s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000018s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000079s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000040s : 0.01% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000038s : 0.01% optimize.loop_unroll : 0.000532s : 0.10% optimize.opt_after_cconv.c_1 : 0.000136s : 0.03% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000017s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000012s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000017s : 0.00% optimize.opt_after_cconv.cse : 0.000065s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000077s : 0.01% optimize.tuple_transform.d_1 : 0.000181s : 0.03% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000022s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000150s : 0.03% optimize.cse_after_recomputation.cse : 0.000052s : 0.01% optimize.environ_conv : 0.000022s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000019s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000001s : 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 : 0.000001s : 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 : 0.000026s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000040s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000010s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000010s : 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 : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000010s : 0.00% optimize.overlap_grad_flash_sp : 0.000068s : 0.01% 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 : 0.000232s : 0.04% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000032s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000053s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000021s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000053s : 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 : 0.000082s : 0.02% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000004s : 0.00% opt_after_jit_grad : 0.013420s : 2.50% validate : 0.000117s : 0.02% Time group info: ------[substitution.] 0.003148 573 0.65% : 0.000020s : 8: substitution.depend_value_elim 0.55% : 0.000017s : 16: substitution.elim_not_effective 0.20% : 0.000006s : 5: substitution.float_depend_g_call 0.60% : 0.000019s : 11: substitution.float_tuple_getitem_switch 0.72% : 0.000023s : 16: substitution.fold_const_symbol 25.42% : 0.000800s : 4: substitution.getattr_setattr_resolve 0.47% : 0.000015s : 17: substitution.graph_param_transform 0.13% : 0.000004s : 2: substitution.incorporate_call 0.09% : 0.000003s : 2: substitution.incorporate_call_switch 40.04% : 0.001261s : 24: substitution.inline 1.31% : 0.000041s : 4: substitution.inline_without_move 0.79% : 0.000025s : 54: substitution.j_node_and_user_rematch 1.06% : 0.000033s : 6: substitution.less_batch_normalization 0.57% : 0.000018s : 24: substitution.load_eliminater 1.20% : 0.000038s : 20: substitution.minmaximum_grad 0.61% : 0.000019s : 5: substitution.partial_eliminate 1.14% : 0.000036s : 54: substitution.remove_not_recompute_node 2.82% : 0.000089s : 29: substitution.replace_applicator 0.58% : 0.000018s : 18: substitution.replace_old_param 0.16% : 0.000005s : 1: substitution.set_cell_output_no_recompute 2.57% : 0.000081s : 24: substitution.tuple_list_convert_item_index_to_positive 1.19% : 0.000037s : 26: substitution.tuple_list_get_item_const_eliminator 2.38% : 0.000075s : 26: substitution.tuple_list_get_item_depend_reorder 5.32% : 0.000167s : 51: substitution.tuple_list_get_item_eliminator 1.70% : 0.000054s : 26: substitution.tuple_list_get_set_item_eliminator 1.74% : 0.000055s : 46: substitution.updatestate_pure_node_eliminater 6.01% : 0.000189s : 54: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.322446 2 94.94% : 0.306135s : 1: type_inference.infer 5.06% : 0.016312s : 1: type_inference.specialize ------[replace.] 0.000722 47 9.60% : 0.000069s : 3: replace.getattr_setattr_resolve 49.96% : 0.000361s : 24: replace.inline 5.76% : 0.000042s : 1: replace.replace_applicator 3.35% : 0.000024s : 2: replace.tuple_list_get_item_depend_reorder 29.13% : 0.000210s : 16: replace.tuple_list_get_item_eliminator 2.20% : 0.000016s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.002091 47 36.01% : 0.000753s : 3: match.getattr_setattr_resolve 59.40% : 0.001242s : 24: match.inline 0.76% : 0.000016s : 1: match.replace_applicator 1.03% : 0.000022s : 2: match.tuple_list_get_item_depend_reorder 2.24% : 0.000047s : 16: match.tuple_list_get_item_eliminator 0.56% : 0.000012s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.001734 11357 0.99% : 0.000017s : 123: predicate.accumulaten_eliminater 0.62% : 0.000011s : 17: predicate.ad_related_special_op_eliminate 0.51% : 0.000009s : 60: predicate.addn_check_dump 1.04% : 0.000018s : 123: predicate.addn_zero_filter 0.95% : 0.000016s : 123: predicate.adjust_all_reduce_mul_add 1.93% : 0.000033s : 183: predicate.arithmetic_simplify 1.04% : 0.000018s : 123: predicate.cast_eliminate 1.82% : 0.000032s : 238: predicate.check_bprop_eliminate 0.52% : 0.000009s : 60: predicate.compare_switch_simplify 0.07% : 0.000001s : 17: predicate.const_output_eliminate 0.52% : 0.000009s : 60: predicate.depend_value_elim 1.07% : 0.000018s : 123: predicate.dict_get_item_const_eliminator 1.10% : 0.000019s : 123: predicate.dict_get_item_eliminator 1.04% : 0.000018s : 123: predicate.dict_set_item_eliminator 0.47% : 0.000008s : 34: predicate.dumpgradient_eliminate 0.09% : 0.000002s : 17: predicate.elim_not_effective 0.19% : 0.000003s : 17: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000019s : 140: predicate.environ_add_const_eliminate 1.12% : 0.000019s : 140: predicate.environ_get_add_eliminate 1.11% : 0.000019s : 140: predicate.environ_get_depend_swap 1.60% : 0.000028s : 200: predicate.environ_get_eliminate 1.11% : 0.000019s : 140: predicate.environ_get_set_eliminate 1.37% : 0.000024s : 166: predicate.exchange_switch_depend_value 2.08% : 0.000036s : 166: predicate.float_depend_g_call 0.50% : 0.000009s : 60: predicate.float_environ_get_switch 0.67% : 0.000012s : 77: predicate.float_tuple_getitem_switch 0.07% : 0.000001s : 17: predicate.fold_const_symbol 0.54% : 0.000009s : 60: predicate.get_grad_eliminate 0.39% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.09% : 0.000002s : 17: predicate.graph_param_transform 0.52% : 0.000009s : 60: predicate.incorporate_call 0.47% : 0.000008s : 60: predicate.incorporate_call_switch 5.29% : 0.000092s : 443: predicate.inline 1.36% : 0.000024s : 124: predicate.inline_without_move 0.24% : 0.000004s : 60: predicate.j_node_and_user_rematch 0.69% : 0.000012s : 61: predicate.less_batch_normalization 1.49% : 0.000026s : 175: predicate.list_to_tuple_eliminator_ 2.43% : 0.000042s : 298: predicate.load_eliminater 0.36% : 0.000006s : 17: predicate.loop_unroll_after_grad 1.77% : 0.000031s : 213: predicate.loop_unroll_before_grad 1.39% : 0.000024s : 159: predicate.make_slice_get_slice_eliminator 0.53% : 0.000009s : 60: predicate.merge_addn 1.78% : 0.000031s : 234: predicate.micro_step_allgather_replace 1.78% : 0.000031s : 234: predicate.mini_step_allgather_replace 1.02% : 0.000018s : 123: predicate.minmaximum_grad 0.34% : 0.000006s : 17: predicate.mutable_eliminate 0.16% : 0.000003s : 17: predicate.opt_reshape 0.16% : 0.000003s : 17: predicate.parallel_virtual_node 1.82% : 0.000032s : 166: predicate.partial_defer_inline 1.45% : 0.000025s : 158: predicate.partial_eliminate 0.99% : 0.000017s : 123: predicate.print_const_string_wrapper 0.52% : 0.000009s : 60: predicate.reduce_all_const_elim 1.25% : 0.000022s : 123: predicate.reduce_eliminate 2.53% : 0.000044s : 298: predicate.redundant_stop_gradient_eliminater 0.33% : 0.000006s : 60: predicate.remove_not_recompute_node 2.00% : 0.000035s : 377: predicate.replace_applicator 0.62% : 0.000011s : 124: predicate.replace_old_param 0.12% : 0.000002s : 17: predicate.reset_defer_inline 0.98% : 0.000017s : 123: predicate.reshape_eliminate 1.85% : 0.000032s : 234: predicate.row_tensor_add_zeros_like 0.17% : 0.000003s : 17: predicate.row_tensor_eliminate 2.02% : 0.000035s : 238: predicate.same_eliminate 0.39% : 0.000007s : 68: predicate.set_cell_output_no_recompute 0.65% : 0.000011s : 60: predicate.shard_identity_eliminate 0.33% : 0.000006s : 34: predicate.special_op_eliminate 0.66% : 0.000011s : 60: predicate.specialize_transform 1.94% : 0.000034s : 234: predicate.split_environ_get_set_with_tuple_value 1.21% : 0.000021s : 124: predicate.stack_unstack_eliminate 0.16% : 0.000003s : 17: predicate.switch_call_monad_eliminater 1.53% : 0.000027s : 166: predicate.switch_defer_inline 3.28% : 0.000057s : 404: predicate.switch_layer_defer_inline 4.07% : 0.000071s : 456: predicate.switch_simplify 0.96% : 0.000017s : 123: predicate.tile_eliminate 1.01% : 0.000018s : 123: predicate.transpose_eliminate 1.51% : 0.000026s : 157: predicate.tuple_list_convert_item_index_to_positive 1.54% : 0.000027s : 159: predicate.tuple_list_get_item_const_eliminator 1.45% : 0.000025s : 159: predicate.tuple_list_get_item_depend_reorder 2.82% : 0.000049s : 235: predicate.tuple_list_get_item_eliminator 1.52% : 0.000026s : 159: predicate.tuple_list_get_set_item_eliminator 2.00% : 0.000035s : 219: predicate.tuple_list_set_item_eliminator 1.55% : 0.000027s : 175: predicate.tuple_to_list_eliminator_ 2.43% : 0.000042s : 298: predicate.updatestate_pure_node_eliminater 3.01% : 0.000052s : 359: predicate.updatestate_useless_node_eliminater 0.35% : 0.000006s : 17: predicate.value_based_eliminate 0.56% : 0.000010s : 60: predicate.virtual_dataset_eliminate 0.57% : 0.000010s : 60: predicate.virtual_output_eliminate 0.15% : 0.000003s : 17: predicate.virtual_view_grad_eliminate 0.18% : 0.000003s : 17: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.066484 60 97.13% : 0.064574s : 29: func_graph_cloner_run.FuncGraphClonerGraph 0.33% : 0.000218s : 3: func_graph_cloner_run.FuncGraphClonerNode 2.54% : 0.001691s : 28: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.153918 243 0.00% : 0.000004s : 1: ForceFp32Comm 12.37% : 0.142794s : 1: add_attr 12.37% : 0.142775s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000156s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.04% : 0.000447s : 1: auto_monad 0.01% : 0.000088s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.06% : 0.000670s : 1: bootstrap 0.00% : 0.000042s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000043s : 1: control_data_broadcast_order 0.00% : 0.000005s : 1: convert_after_rewriter 0.01% : 0.000069s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000026s : 1: environ_conv 0.02% : 0.000175s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 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% : 0.000008s : 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 0.05% : 0.000541s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.07% : 0.000821s : 1: mutable_eliminate 0.00% : 0.000013s : 1: offloading_packed_experts 0.00% : 0.000034s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000037s : 1: opt.transform.mutable_eliminate 1.01% : 0.011657s : 125: opt.transform.opt_a 0.01% : 0.000134s : 1: opt.transform.opt_after_cconv 0.01% : 0.000101s : 1: opt.transform.opt_after_jit_grad 0.05% : 0.000523s : 28: opt.transform.opt_b 0.08% : 0.000936s : 2: opt.transform.opt_resolve 0.02% : 0.000199s : 2: opt.transform.opt_trans_graph 0.01% : 0.000153s : 4: opt.transform.symbol_engine_opt 17.00% : 0.196140s : 1: opt_a 0.03% : 0.000306s : 1: opt_after_cconv 1.16% : 0.013443s : 1: opt_after_jit_grad 0.06% : 0.000746s : 1: opt_b 17.39% : 0.200696s : 1: optimize 0.00% : 0.000044s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000004s : 1: order_py_execute_after_rewriter 0.01% : 0.000072s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000013s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000030s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000013s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000007s : 1: overlap_recompute_comm 0.00% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000005s : 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% : 0.000090s : 1: pre_auto_parallel 0.00% : 0.000014s : 1: py_interpret_to_execute 0.00% : 0.000012s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000083s : 1: remove_dup_value 9.62% : 0.111041s : 2: renormalize.infer 0.40% : 0.004609s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000093s : 1: rewriter_after_opt_a 0.04% : 0.000503s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 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% : 0.000023s : 1: swap_dp_allreduce_reducescatter 0.04% : 0.000446s : 1: symbol_engine_optimizer 0.02% : 0.000237s : 1: tuple_transform 27.96% : 0.322609s : 1: type_inference . [hook] pytest_runtest_teardown:test_chunk_backward_dynamic_shape[0] tests/st/mint/test_chunk.py::test_chunk_backward_dynamic_shape[0],max_mem:4.0M . [hook] pytest_runtest_teardown:test_chunk_backward_dynamic_shape[1] tests/st/mint/test_chunk.py::test_chunk_backward_dynamic_shape[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") test_chunk.py::test_chunk_backward_dynamic_shape[0] /usr/local/Ascend/cann-8.5.0/python/site-packages/asc_op_compile_base/asc_op_compiler/ascendc_compile_gen_code.py:161: DeprecationWarning: invalid escape sequence \w match = re.search(f'{option}=(\w+)', ' '.join(compile_options)) -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 26 warnings in 212.02s (0:03:32) ==================