==================================================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/compiler/stream_event, configfile: ../../../../../../../sault/virtual_test/virtualenv_003/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 1 item test_with_stream.py [WARNING] ME(169254:281473097326384,MainProcess):2026-01-29-17:37:58.466.293 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. [WARNING] ME(169254:281473097326384,MainProcess):2026-01-29-17:37:58.466.875 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs_path' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS_PATH instead. TotalTime = 0.804988, [21] [bootstrap]: 0.00054342 [type_inference]: 0.380213 [event_method]: 2.409e-05 [auto_monad]: 0.00034411 [graph_reusing]: 6.98998e-06 [inline]: 2.53e-06 [add_attr]: 0.0859704, [1] [add_attr_with_inline]: 0.085955, [1] [Cycle 1]: 0.00016342, [2] [tag_attr]: 4.979e-05 [meta_addattr_fg_expand]: 1.43e-05 [parallel-infer-symbol]: 4.18001e-06 [pre_auto_parallel]: 7.453e-05 [insert-virtual-dataset]: 3.12002e-06 [parallel-infer-symbol-second]: 7.79983e-07 [dataset_repeat_opt]: 2.29001e-06 [pipeline_split]: 1.59e-06 [optimize]: 0.336056, [53] [py_interpret_to_execute]: 4.349e-05 [rewriter_before_opt_a]: 0.00015455 [opt_a]: 0.331948, [4] [Cycle 1]: 0.186201, [86] [expand_dump_flag]: 3.63e-06 [switch_simplify]: 6.46e-05 [loop_unroll]: 4.933e-05 [a_1]: 0.00169951 [with_stream_mark]: 0.00015592 [recompute_prepare]: 4.825e-05 [updatestate_depend_eliminate]: 6.552e-05 [updatestate_assign_eliminate]: 2.004e-05 [updatestate_loads_eliminate]: 2.246e-05 [parameter_eliminate]: 6.74999e-06 [a_2]: 0.00102521 [accelerated_algorithm]: 3.196e-05 [shard]: 2.76999e-06 [meta_shard_fg_expand]: 6.24001e-06 [shard_inline]: 2.558e-05 [merge_send_recv]: 2.682e-05 [auto_parallel]: 2.348e-05 [parallel]: 5.389e-05 [flash_sp]: 1.894e-05 [merge_comm]: 1.829e-05 [allreduce_fusion]: 1.655e-05 [matmul_add_comm_reduction]: 2.625e-05 [allreduce_slice_to_reducescatter]: 1.29e-06 [virtual_shard_identity]: 3.175e-05 [virtual_dataset]: 2.444e-05 [get_grad_eliminate_]: 2.333e-05 [virtual_output]: 2.425e-05 [merge_forward]: 1.555e-05 [cell_reuse_recompute_pass]: 1.50999e-06 [offload_activation]: 2.662e-05 [cell_reuse_handle_not_recompute_node_pass]: 5.854e-05 [merge_recompute_call_nodes]: 1.86e-06 [before_grad]: 4.568e-05 [meta_morphosis]: 0.00042483 [meta_morphosis_renormalize]: 0.175928 [meta_morphosis_event_method]: 9.036e-05 [meta_morphosis_auto_monad_grad]: 0.00013843 [expand_dump_flag]: 3.79002e-06 [switch_simplify]: 6.756e-05 [loop_unroll]: 3.718e-05 [a_1]: 0.00118625 [with_stream_mark]: 5.913e-05 [recompute_prepare]: 4.246e-05 [updatestate_depend_eliminate]: 2.19e-05 [updatestate_assign_eliminate]: 1.764e-05 [updatestate_loads_eliminate]: 2.039e-05 [parameter_eliminate]: 8.401e-05 [a_2]: 0.00097308 [accelerated_algorithm]: 2.926e-05 [shard]: 3.73999e-06 [meta_shard_fg_expand]: 5.35999e-06 [shard_inline]: 2.242e-05 [merge_send_recv]: 2.3e-05 [auto_parallel]: 2.254e-05 [parallel]: 9.55001e-06 [flash_sp]: 4.82998e-06 [merge_comm]: 1.383e-05 [allreduce_fusion]: 1.354e-05 [matmul_add_comm_reduction]: 2.243e-05 [allreduce_slice_to_reducescatter]: 7.30011e-07 [virtual_shard_identity]: 2.648e-05 [virtual_dataset]: 2.069e-05 [get_grad_eliminate_]: 2.015e-05 [virtual_output]: 2.039e-05 [merge_forward]: 1.273e-05 [cell_reuse_recompute_pass]: 1.50001e-06 [offload_activation]: 2.385e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.852e-05 [merge_recompute_call_nodes]: 1.81e-06 [before_grad]: 3.982e-05 [meta_morphosis]: 2.586e-05 [meta_morphosis_renormalize]: 8.9989e-08 [meta_morphosis_event_method]: 1.583e-05 [meta_morphosis_auto_monad_grad]: 1.035e-05 [set_forward_comm_id_for_comm_node_pass]: 1.412e-05 [meta_fg_expand]: 9.64e-06 [flash_sp_send_recv_attached]: 7.43999e-06 [receive_attached]: 1.75e-05 [after_resolve]: 3.424e-05 [a_after_grad]: 3.539e-05 [renormalize]: 0.00149995 [add_forward_monad_depend]: 8.09002e-06 [auto_monad_grad]: 2.13002e-06 [auto_monad_eliminator]: 8.079e-05 [cse]: 0.00012957 [a_3]: 0.00017592 [Cycle 2]: 0.00369735, [49] [expand_dump_flag]: 2.88998e-06 [switch_simplify]: 2.331e-05 [loop_unroll]: 2.105e-05 [a_1]: 0.00076312 [with_stream_mark]: 2.95e-05 [recompute_prepare]: 2.42e-05 [updatestate_depend_eliminate]: 3.711e-05 [updatestate_assign_eliminate]: 1.138e-05 [updatestate_loads_eliminate]: 1.419e-05 [parameter_eliminate]: 2.27999e-06 [a_2]: 0.00062689 [accelerated_algorithm]: 2.078e-05 [shard]: 2.58e-06 [meta_shard_fg_expand]: 4.15e-06 [shard_inline]: 1.741e-05 [merge_send_recv]: 1.844e-05 [auto_parallel]: 1.811e-05 [parallel]: 1.032e-05 [flash_sp]: 1.47001e-06 [merge_comm]: 1.023e-05 [allreduce_fusion]: 1.056e-05 [matmul_add_comm_reduction]: 1.884e-05 [allreduce_slice_to_reducescatter]: 1.11002e-06 [virtual_shard_identity]: 1.909e-05 [virtual_dataset]: 1.649e-05 [get_grad_eliminate_]: 1.581e-05 [virtual_output]: 1.578e-05 [merge_forward]: 1.094e-05 [cell_reuse_recompute_pass]: 2.59001e-06 [offload_activation]: 1.906e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.919e-05 [merge_recompute_call_nodes]: 1.47001e-06 [before_grad]: 3.177e-05 [meta_morphosis]: 2.161e-05 [meta_morphosis_renormalize]: 1.00001e-07 [meta_morphosis_event_method]: 1.166e-05 [meta_morphosis_auto_monad_grad]: 4.15e-06 [set_forward_comm_id_for_comm_node_pass]: 1.077e-05 [meta_fg_expand]: 8.25e-06 [flash_sp_send_recv_attached]: 2.09e-06 [receive_attached]: 2.57001e-06 [after_resolve]: 2.714e-05 [a_after_grad]: 2.689e-05 [renormalize]: 0.00099176 [add_forward_monad_depend]: 7.77e-06 [auto_monad_grad]: 1.89e-06 [auto_monad_eliminator]: 5.318e-05 [cse]: 8.094e-05 [a_3]: 0.00013628 [Cycle 3]: 0.140129, [49] [expand_dump_flag]: 2.48002e-06 [switch_simplify]: 1.828e-05 [loop_unroll]: 1.611e-05 [a_1]: 0.00050214 [with_stream_mark]: 2.44e-05 [recompute_prepare]: 1.946e-05 [updatestate_depend_eliminate]: 5.31e-05 [updatestate_assign_eliminate]: 9.95002e-06 [updatestate_loads_eliminate]: 1.112e-05 [parameter_eliminate]: 2.26e-06 [a_2]: 0.00025927 [accelerated_algorithm]: 1.694e-05 [shard]: 2.02999e-06 [meta_shard_fg_expand]: 3.61999e-06 [shard_inline]: 1.48e-05 [merge_send_recv]: 1.444e-05 [auto_parallel]: 1.497e-05 [parallel]: 8.70999e-06 [flash_sp]: 1.05001e-06 [merge_comm]: 8.83001e-06 [allreduce_fusion]: 9.13002e-06 [matmul_add_comm_reduction]: 1.608e-05 [allreduce_slice_to_reducescatter]: 8.2e-07 [virtual_shard_identity]: 1.788e-05 [virtual_dataset]: 1.434e-05 [get_grad_eliminate_]: 1.422e-05 [virtual_output]: 1.394e-05 [merge_forward]: 9.56e-06 [cell_reuse_recompute_pass]: 1.40001e-06 [offload_activation]: 1.888e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.388e-05 [merge_recompute_call_nodes]: 1.36002e-06 [before_grad]: 2.82e-05 [meta_morphosis]: 1.958e-05 [meta_morphosis_renormalize]: 1.10012e-07 [meta_morphosis_event_method]: 1.081e-05 [meta_morphosis_auto_monad_grad]: 3.7e-06 [set_forward_comm_id_for_comm_node_pass]: 1.041e-05 [meta_fg_expand]: 5.88998e-06 [flash_sp_send_recv_attached]: 1.59e-06 [receive_attached]: 1.72999e-06 [after_resolve]: 2.526e-05 [a_after_grad]: 2.459e-05 [renormalize]: 0.138006 [add_forward_monad_depend]: 1.28e-05 [auto_monad_grad]: 2.69001e-06 [auto_monad_eliminator]: 6.597e-05 [cse]: 8.803e-05 [a_3]: 0.00014067 [Cycle 4]: 0.00188645, [49] [expand_dump_flag]: 2.19001e-06 [switch_simplify]: 1.831e-05 [loop_unroll]: 1.526e-05 [a_1]: 0.0004571 [with_stream_mark]: 2.682e-05 [recompute_prepare]: 1.682e-05 [updatestate_depend_eliminate]: 1.089e-05 [updatestate_assign_eliminate]: 9.19e-06 [updatestate_loads_eliminate]: 1.228e-05 [parameter_eliminate]: 1.82999e-06 [a_2]: 0.0002552 [accelerated_algorithm]: 1.702e-05 [shard]: 2.74999e-06 [meta_shard_fg_expand]: 4.77e-06 [shard_inline]: 1.528e-05 [merge_send_recv]: 1.655e-05 [auto_parallel]: 1.627e-05 [parallel]: 1.082e-05 [flash_sp]: 1.51998e-06 [merge_comm]: 8.75999e-06 [allreduce_fusion]: 8.73001e-06 [matmul_add_comm_reduction]: 1.806e-05 [allreduce_slice_to_reducescatter]: 8.29983e-07 [virtual_shard_identity]: 2.011e-05 [virtual_dataset]: 1.476e-05 [get_grad_eliminate_]: 1.473e-05 [virtual_output]: 1.722e-05 [merge_forward]: 1.061e-05 [cell_reuse_recompute_pass]: 2.79999e-06 [offload_activation]: 1.973e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.633e-05 [merge_recompute_call_nodes]: 1.53002e-06 [before_grad]: 2.822e-05 [meta_morphosis]: 1.908e-05 [meta_morphosis_renormalize]: 8.00064e-08 [meta_morphosis_event_method]: 1.14e-05 [meta_morphosis_auto_monad_grad]: 3.84002e-06 [set_forward_comm_id_for_comm_node_pass]: 1.098e-05 [meta_fg_expand]: 6.41998e-06 [flash_sp_send_recv_attached]: 2.12001e-06 [receive_attached]: 2.69001e-06 [after_resolve]: 2.453e-05 [a_after_grad]: 2.417e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.54001e-06 [auto_monad_grad]: 8.70001e-07 [auto_monad_eliminator]: 5.134e-05 [cse]: 6.126e-05 [a_3]: 0.00010962 [py_interpret_to_execute_after_opt_a]: 3.096e-05 [slice_cell_reuse_recomputed_activation]: 5.62999e-06 [rewriter_after_opt_a]: 0.00029623 [convert_after_rewriter]: 2.542e-05 [order_py_execute_after_rewriter]: 1.439e-05 [mutable_eliminate]: 0.00080068 [opt_b]: 0.00058685, [1] [Cycle 1]: 0.00057425, [7] [b_1]: 0.00039023 [b_2]: 1.807e-05 [updatestate_depend_eliminate]: 1.659e-05 [updatestate_assign_eliminate]: 9.24e-06 [updatestate_loads_eliminate]: 1.141e-05 [renormalize]: 1.20999e-06 [cse]: 6.454e-05 [optimize_parallel_all_gather_comm]: 3.588e-05 [overlap_param_gather]: 1.113e-05 [cconv]: 4.409e-05 [loop_unroll]: 0.00059413 [opt_after_cconv]: 0.00026855, [1] [Cycle 1]: 0.00025683, [7] [c_1]: 0.00010332 [parameter_eliminate]: 5.40999e-06 [updatestate_depend_eliminate]: 1.427e-05 [updatestate_assign_eliminate]: 8.55999e-06 [updatestate_loads_eliminate]: 1.116e-05 [cse]: 5.374e-05 [renormalize]: 5.3001e-07 [remove_dup_value]: 7.928e-05 [tuple_transform]: 0.00017108, [1] [Cycle 1]: 0.0001624, [4] [d_1]: 0.00010857 [none_parameter_eliminate]: 2.06e-06 [renormalize]: 4.30009e-07 [switch_simplify]: 1.61e-05 [partial_unused_args_eliminate]: 4.87e-06 [add_recomputation]: 0.00012419 [cse_after_recomputation]: 5.741e-05, [1] [Cycle 1]: 4.926e-05, [1] [cse]: 3.775e-05 [environ_conv]: 2.795e-05 [swap_dp_allreduce_reducescatter]: 1.565e-05 [bias_add_comm_swap]: 7.89997e-06 [label_micro_interleaved_index]: 7.63999e-06 [label_fine_grained_interleaved_index]: 5.89999e-06 [merge_cast_opt]: 4.58999e-06 [slice_recompute_activation]: 5.14e-06 [micro_interleaved_order_control]: 5.40999e-06 [assign_add_opt]: 4.19002e-06 [ForceFp32Comm]: 3.76001e-06 [remove_cast_before_assign_add]: 3.4e-06 [full_micro_interleaved_order_control]: 4.99998e-06 [reorder_send_recv_between_fp_bp]: 5.32001e-06 [comm_op_add_attrs]: 4.18999e-06 [add_comm_op_reuse_tag]: 3.36999e-06 [interleave_split_concat_branches]: 3.66999e-06 [interleave_parallel_branches]: 3.91001e-06 [overlap_opt_shard_in_pipeline]: 3.191e-05 [overlap_opt_shard_grad_in_pipeline]: 4.65999e-06 [control_data_broadcast_order]: 3.477e-05 [grouped_pairwise_exchange_alltoall]: 4.08999e-06 [offloading_packed_experts]: 1.115e-05 [overlap_recompute_and_grad_model_parallel]: 1.131e-05 [overlap_grad_matmul_and_grad_allreduce]: 3.71999e-06 [overlap_recompute_allgather_and_fa_grad]: 3.80998e-06 [overlap_recompute_comm]: 5.39e-06 [overlap_grad_ring_attention]: 1.04e-05 [overlap_grad_flash_sp]: 7.425e-05 [begin_end_overlap_inline]: 3.56001e-06 [split_matmul_comm_elemetwise]: 4.77e-06 [split_layernorm_comm]: 4.35e-06 [handle_group_info]: 3.41001e-06 [symbol_engine_optimizer]: 0.00016404, [1] [Cycle 1]: 0.00015454, [6] [build]: 7.01001e-06 [elim_shapecalc]: 2.454e-05 [elim_not_effective]: 3.116e-05 [opt_reshape]: 1.574e-05 [fold_const_symbol]: 2.573e-05 [renormalize]: 2.30008e-07 [detach_backward]: 5.00999e-06 [pipeline_parallel_scheduler]: 1.91998e-06 [auto_monad_reorder]: 6.511e-05 [get_jit_bprop_graph]: 1.86e-06 [rewriter_after_jit_bprop_graph]: 5.97999e-06 [opt_after_jit_grad]: 0.00072688 [validate]: 8.412e-05 Sums bootstrap : 0.000543s : 0.08% type_inference : 0.380213s : 53.16% event_method : 0.000024s : 0.00% auto_monad : 0.000344s : 0.05% graph_reusing : 0.000007s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000050s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000014s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000075s : 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 : 0.000043s : 0.01% optimize.rewriter_before_opt_a : 0.000155s : 0.02% optimize.opt_a.expand_dump_flag : 0.000011s : 0.00% optimize.opt_a.switch_simplify : 0.000125s : 0.02% optimize.opt_a.loop_unroll : 0.000102s : 0.01% optimize.opt_a.a_1 : 0.003422s : 0.48% optimize.opt_a.with_stream_mark : 0.000237s : 0.03% optimize.opt_a.recompute_prepare : 0.000109s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000167s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000051s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000060s : 0.01% optimize.opt_a.parameter_eliminate : 0.000013s : 0.00% optimize.opt_a.a_2 : 0.002167s : 0.30% optimize.opt_a.accelerated_algorithm : 0.000087s : 0.01% optimize.opt_a.shard : 0.000010s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000019s : 0.00% optimize.opt_a.shard_inline : 0.000073s : 0.01% optimize.opt_a.merge_send_recv : 0.000076s : 0.01% optimize.opt_a.auto_parallel : 0.000073s : 0.01% optimize.opt_a.parallel : 0.000084s : 0.01% optimize.opt_a.flash_sp : 0.000023s : 0.00% optimize.opt_a.merge_comm : 0.000046s : 0.01% optimize.opt_a.allreduce_fusion : 0.000045s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000079s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000004s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000089s : 0.01% optimize.opt_a.virtual_dataset : 0.000070s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000068s : 0.01% optimize.opt_a.virtual_output : 0.000071s : 0.01% optimize.opt_a.merge_forward : 0.000047s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% optimize.opt_a.offload_activation : 0.000084s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000168s : 0.02% optimize.opt_a.merge_recompute_call_nodes : 0.000006s : 0.00% optimize.opt_a.before_grad : 0.000134s : 0.02% optimize.opt_a.meta_morphosis : 0.000485s : 0.07% optimize.opt_a.meta_morphosis_renormalize : 0.175928s : 24.60% optimize.opt_a.meta_morphosis_event_method : 0.000124s : 0.02% optimize.opt_a.meta_morphosis_auto_monad_grad : 0.000150s : 0.02% optimize.opt_a.expand_dump_flag : 0.000004s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000032s : 0.00% optimize.opt_a.meta_fg_expand : 0.000021s : 0.00% optimize.opt_a.switch_simplify : 0.000068s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.00% optimize.opt_a.loop_unroll : 0.000037s : 0.01% optimize.opt_a.a_1 : 0.001186s : 0.17% optimize.opt_a.receive_attached : 0.000007s : 0.00% optimize.opt_a.after_resolve : 0.000077s : 0.01% optimize.opt_a.with_stream_mark : 0.000059s : 0.01% optimize.opt_a.a_after_grad : 0.000076s : 0.01% optimize.opt_a.recompute_prepare : 0.000042s : 0.01% optimize.opt_a.renormalize : 0.138997s : 19.43% optimize.opt_a.updatestate_depend_eliminate : 0.000022s : 0.00% optimize.opt_a.add_forward_monad_depend : 0.000023s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000018s : 0.00% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000020s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000170s : 0.02% optimize.opt_a.parameter_eliminate : 0.000084s : 0.01% optimize.opt_a.a_2 : 0.000973s : 0.14% optimize.opt_a.cse : 0.000230s : 0.03% optimize.opt_a.a_3 : 0.000387s : 0.05% optimize.opt_a.accelerated_algorithm : 0.000029s : 0.00% optimize.opt_a.shard : 0.000004s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.00% optimize.opt_a.shard_inline : 0.000022s : 0.00% optimize.opt_a.merge_send_recv : 0.000023s : 0.00% optimize.opt_a.auto_parallel : 0.000023s : 0.00% optimize.opt_a.parallel : 0.000010s : 0.00% optimize.opt_a.flash_sp : 0.000005s : 0.00% optimize.opt_a.merge_comm : 0.000014s : 0.00% optimize.opt_a.allreduce_fusion : 0.000014s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000022s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000026s : 0.00% optimize.opt_a.virtual_dataset : 0.000021s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000020s : 0.00% optimize.opt_a.virtual_output : 0.000020s : 0.00% optimize.opt_a.merge_forward : 0.000013s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000002s : 0.00% optimize.opt_a.offload_activation : 0.000024s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000049s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000002s : 0.00% optimize.opt_a.before_grad : 0.000040s : 0.01% optimize.opt_a.meta_morphosis : 0.000026s : 0.00% optimize.opt_a.meta_morphosis_renormalize : 0.000000s : 0.00% optimize.opt_a.meta_morphosis_event_method : 0.000016s : 0.00% optimize.opt_a.meta_morphosis_auto_monad_grad : 0.000010s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000014s : 0.00% optimize.opt_a.meta_fg_expand : 0.000010s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000007s : 0.00% optimize.opt_a.receive_attached : 0.000018s : 0.00% optimize.opt_a.after_resolve : 0.000034s : 0.00% optimize.opt_a.a_after_grad : 0.000035s : 0.00% optimize.opt_a.renormalize : 0.001500s : 0.21% optimize.opt_a.add_forward_monad_depend : 0.000008s : 0.00% optimize.opt_a.auto_monad_grad : 0.000002s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000081s : 0.01% optimize.opt_a.cse : 0.000130s : 0.02% optimize.opt_a.a_3 : 0.000176s : 0.02% optimize.py_interpret_to_execute_after_opt_a : 0.000031s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000006s : 0.00% optimize.rewriter_after_opt_a : 0.000296s : 0.04% optimize.convert_after_rewriter : 0.000025s : 0.00% optimize.order_py_execute_after_rewriter : 0.000014s : 0.00% optimize.mutable_eliminate : 0.000801s : 0.11% optimize.opt_b.b_1 : 0.000390s : 0.05% optimize.opt_b.b_2 : 0.000018s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000017s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000011s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000065s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000036s : 0.01% optimize.overlap_param_gather : 0.000011s : 0.00% optimize.cconv : 0.000044s : 0.01% optimize.loop_unroll : 0.000594s : 0.08% optimize.opt_after_cconv.c_1 : 0.000103s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000014s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000009s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000011s : 0.00% optimize.opt_after_cconv.cse : 0.000054s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000079s : 0.01% optimize.tuple_transform.d_1 : 0.000109s : 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 : 0.000016s : 0.00% optimize.partial_unused_args_eliminate : 0.000005s : 0.00% optimize.add_recomputation : 0.000124s : 0.02% optimize.cse_after_recomputation.cse : 0.000038s : 0.01% optimize.environ_conv : 0.000028s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000016s : 0.00% optimize.bias_add_comm_swap : 0.000008s : 0.00% optimize.label_micro_interleaved_index : 0.000008s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000006s : 0.00% optimize.merge_cast_opt : 0.000005s : 0.00% optimize.slice_recompute_activation : 0.000005s : 0.00% optimize.micro_interleaved_order_control : 0.000005s : 0.00% optimize.assign_add_opt : 0.000004s : 0.00% optimize.ForceFp32Comm : 0.000004s : 0.00% optimize.remove_cast_before_assign_add : 0.000003s : 0.00% optimize.full_micro_interleaved_order_control : 0.000005s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000005s : 0.00% optimize.comm_op_add_attrs : 0.000004s : 0.00% optimize.add_comm_op_reuse_tag : 0.000003s : 0.00% optimize.interleave_split_concat_branches : 0.000004s : 0.00% optimize.interleave_parallel_branches : 0.000004s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000032s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000005s : 0.00% optimize.control_data_broadcast_order : 0.000035s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000004s : 0.00% optimize.offloading_packed_experts : 0.000011s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000011s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000004s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000004s : 0.00% optimize.overlap_recompute_comm : 0.000005s : 0.00% optimize.overlap_grad_ring_attention : 0.000010s : 0.00% optimize.overlap_grad_flash_sp : 0.000074s : 0.01% optimize.begin_end_overlap_inline : 0.000004s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000005s : 0.00% optimize.split_layernorm_comm : 0.000004s : 0.00% optimize.handle_group_info : 0.000003s : 0.00% optimize.symbol_engine_optimizer.build : 0.000007s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000025s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000031s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000016s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000026s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000005s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000065s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000727s : 0.10% validate : 0.000084s : 0.01% Time group info: ------[substitution.] 0.001401 452 14.48% : 0.000203s : 36: substitution.arithmetic_simplify 4.08% : 0.000057s : 30: substitution.depend_value_elim 0.33% : 0.000005s : 10: substitution.elim_not_effective 0.27% : 0.000004s : 10: substitution.fold_const_symbol 0.84% : 0.000012s : 13: substitution.graph_param_transform 35.18% : 0.000493s : 15: substitution.inline 2.33% : 0.000033s : 69: substitution.j_node_and_user_rematch 1.07% : 0.000015s : 24: substitution.load_eliminater 21.67% : 0.000304s : 1: substitution.meta_morphosis 0.23% : 0.000003s : 4: substitution.redundant_stop_gradient_eliminater 3.28% : 0.000046s : 69: substitution.remove_not_recompute_node 0.36% : 0.000005s : 3: substitution.replace_applicator 1.39% : 0.000019s : 12: substitution.replace_old_param 0.54% : 0.000008s : 3: substitution.set_cell_output_no_recompute 1.63% : 0.000023s : 3: substitution.specialize_transform 5.22% : 0.000073s : 58: substitution.updatestate_pure_node_eliminater 7.08% : 0.000099s : 92: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.380141 2 99.77% : 0.379260s : 1: type_inference.infer 0.23% : 0.000881s : 1: type_inference.specialize ------[replace.] 0.000225 15 16.03% : 0.000036s : 3: replace.depend_value_elim 48.18% : 0.000108s : 9: replace.inline 23.66% : 0.000053s : 1: replace.meta_morphosis 12.12% : 0.000027s : 2: replace.updatestate_pure_node_eliminater ------[match.] 0.000785 15 0.85% : 0.000007s : 3: match.depend_value_elim 60.28% : 0.000473s : 9: match.inline 38.52% : 0.000302s : 1: match.meta_morphosis 0.36% : 0.000003s : 2: match.updatestate_pure_node_eliminater ------[predicate.] 0.001573 10810 1.02% : 0.000016s : 122: predicate.accumulaten_eliminater 0.30% : 0.000005s : 13: predicate.ad_related_special_op_eliminate 1.32% : 0.000021s : 159: predicate.addn_check_dump 1.02% : 0.000016s : 122: predicate.addn_zero_filter 0.98% : 0.000015s : 122: predicate.adjust_all_reduce_mul_add 3.34% : 0.000053s : 267: predicate.arithmetic_simplify 1.01% : 0.000016s : 122: predicate.cast_eliminate 0.55% : 0.000009s : 61: predicate.check_bprop_eliminate 1.37% : 0.000022s : 159: predicate.compare_switch_simplify 0.06% : 0.000001s : 13: predicate.const_output_eliminate 1.39% : 0.000022s : 149: predicate.depend_value_elim 1.09% : 0.000017s : 122: predicate.dict_get_item_const_eliminator 1.14% : 0.000018s : 122: predicate.dict_get_item_eliminator 1.03% : 0.000016s : 122: predicate.dict_set_item_eliminator 0.37% : 0.000006s : 26: predicate.dumpgradient_eliminate 0.08% : 0.000001s : 13: predicate.elim_not_effective 0.16% : 0.000002s : 13: predicate.elim_shapecalc_of_broadcastargs 1.14% : 0.000018s : 135: predicate.environ_add_const_eliminate 1.09% : 0.000017s : 135: predicate.environ_get_add_eliminate 1.09% : 0.000017s : 135: predicate.environ_get_depend_swap 2.37% : 0.000037s : 280: predicate.environ_get_eliminate 1.08% : 0.000017s : 135: predicate.environ_get_set_eliminate 1.07% : 0.000017s : 130: predicate.exchange_switch_depend_value 1.65% : 0.000026s : 130: predicate.float_depend_g_call 1.35% : 0.000021s : 159: predicate.float_environ_get_switch 1.46% : 0.000023s : 172: predicate.float_tuple_getitem_switch 0.07% : 0.000001s : 13: predicate.fold_const_symbol 0.80% : 0.000013s : 84: predicate.get_grad_eliminate 0.09% : 0.000001s : 13: predicate.graph_param_transform 1.26% : 0.000020s : 145: predicate.incorporate_call 1.20% : 0.000019s : 145: predicate.incorporate_call_switch 5.82% : 0.000091s : 515: predicate.inline 0.74% : 0.000012s : 61: predicate.inline_without_move 0.39% : 0.000006s : 84: predicate.j_node_and_user_rematch 0.98% : 0.000015s : 84: predicate.less_batch_normalization 1.26% : 0.000020s : 148: predicate.list_to_tuple_eliminator_ 2.28% : 0.000036s : 270: predicate.load_eliminater 0.30% : 0.000005s : 13: predicate.loop_unroll_after_grad 1.26% : 0.000020s : 143: predicate.loop_unroll_before_grad 1.31% : 0.000021s : 148: predicate.make_slice_get_slice_eliminator 1.38% : 0.000022s : 159: predicate.merge_addn 2.28% : 0.000036s : 100: predicate.meta_morphosis 0.52% : 0.000008s : 61: predicate.micro_step_allgather_replace 0.58% : 0.000009s : 61: predicate.mini_step_allgather_replace 0.98% : 0.000015s : 122: predicate.minmaximum_grad 0.36% : 0.000006s : 13: predicate.mutable_eliminate 0.13% : 0.000002s : 13: predicate.opt_reshape 0.13% : 0.000002s : 13: predicate.parallel_virtual_node 1.29% : 0.000020s : 130: predicate.partial_defer_inline 1.30% : 0.000021s : 135: predicate.partial_eliminate 1.10% : 0.000017s : 122: predicate.print_const_string_wrapper 1.24% : 0.000019s : 142: predicate.reduce_all_const_elim 1.27% : 0.000020s : 122: predicate.reduce_eliminate 2.23% : 0.000035s : 270: predicate.redundant_stop_gradient_eliminater 0.50% : 0.000008s : 84: predicate.remove_not_recompute_node 1.14% : 0.000018s : 183: predicate.replace_applicator 0.38% : 0.000006s : 61: predicate.replace_old_param 0.10% : 0.000002s : 13: predicate.reset_defer_inline 1.03% : 0.000016s : 122: predicate.reshape_eliminate 0.56% : 0.000009s : 61: predicate.row_tensor_add_zeros_like 0.13% : 0.000002s : 13: predicate.row_tensor_eliminate 0.66% : 0.000010s : 61: predicate.same_eliminate 0.61% : 0.000010s : 109: predicate.set_cell_output_no_recompute 0.95% : 0.000015s : 84: predicate.shard_identity_eliminate 0.26% : 0.000004s : 26: predicate.special_op_eliminate 1.71% : 0.000027s : 159: predicate.specialize_transform 0.76% : 0.000012s : 61: predicate.split_environ_get_set_with_tuple_value 0.63% : 0.000010s : 61: predicate.stack_unstack_eliminate 0.14% : 0.000002s : 13: predicate.switch_call_monad_eliminater 1.17% : 0.000018s : 130: predicate.switch_defer_inline 1.68% : 0.000026s : 191: predicate.switch_layer_defer_inline 4.14% : 0.000065s : 445: predicate.switch_simplify 1.01% : 0.000016s : 122: predicate.tile_eliminate 1.02% : 0.000016s : 122: predicate.transpose_eliminate 1.36% : 0.000021s : 148: predicate.tuple_list_convert_item_index_to_positive 1.39% : 0.000022s : 148: predicate.tuple_list_get_item_const_eliminator 1.28% : 0.000020s : 148: predicate.tuple_list_get_item_depend_reorder 2.88% : 0.000045s : 293: predicate.tuple_list_get_item_eliminator 1.32% : 0.000021s : 148: predicate.tuple_list_get_set_item_eliminator 2.72% : 0.000043s : 293: predicate.tuple_list_set_item_eliminator 1.29% : 0.000020s : 148: predicate.tuple_to_list_eliminator_ 2.31% : 0.000036s : 272: predicate.updatestate_pure_node_eliminater 3.82% : 0.000060s : 417: predicate.updatestate_useless_node_eliminater 0.12% : 0.000002s : 13: predicate.value_based_eliminate 0.80% : 0.000013s : 84: predicate.virtual_dataset_eliminate 0.80% : 0.000013s : 84: predicate.virtual_output_eliminate 0.11% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.14% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001875 21 39.06% : 0.000733s : 7: func_graph_cloner_run.FuncGraphClonerGraph 60.94% : 0.001143s : 14: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.553747 361 0.00% : 0.000006s : 1: ForceFp32Comm 5.53% : 0.085983s : 1: add_attr 5.53% : 0.085959s : 1: add_attr_with_inline 0.00% : 0.000006s : 1: add_comm_op_reuse_tag 0.01% : 0.000129s : 1: add_recomputation 0.00% : 0.000007s : 1: assign_add_opt 0.02% : 0.000360s : 1: auto_monad 0.00% : 0.000075s : 1: auto_monad_reorder 0.00% : 0.000007s : 1: begin_end_overlap_inline 0.00% : 0.000011s : 1: bias_add_comm_swap 0.04% : 0.000624s : 1: bootstrap 0.00% : 0.000048s : 1: cconv 0.00% : 0.000007s : 1: comm_op_add_attrs 0.00% : 0.000039s : 1: control_data_broadcast_order 0.00% : 0.000030s : 1: convert_after_rewriter 0.00% : 0.000061s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: dataset_repeat_opt 0.00% : 0.000030s : 1: detach_backward 0.00% : 0.000031s : 1: environ_conv 0.00% : 0.000034s : 1: event_method 0.00% : 0.000008s : 1: full_micro_interleaved_order_control 0.00% : 0.000009s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 0.00% : 0.000007s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000006s : 1: handle_group_info 0.00% : 0.000009s : 1: inline 0.00% : 0.000010s : 1: insert-virtual-dataset 0.00% : 0.000006s : 1: interleave_parallel_branches 0.00% : 0.000007s : 1: interleave_split_concat_branches 0.00% : 0.000009s : 1: label_fine_grained_interleaved_index 0.00% : 0.000010s : 1: label_micro_interleaved_index 0.04% : 0.000602s : 1: loop_unroll 0.00% : 0.000007s : 1: merge_cast_opt 0.00% : 0.000008s : 1: micro_interleaved_order_control 0.05% : 0.000809s : 1: mutable_eliminate 0.00% : 0.000014s : 1: offloading_packed_experts 0.00% : 0.000032s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000034s : 1: opt.transform.mutable_eliminate 0.63% : 0.009794s : 241: opt.transform.opt_a 0.01% : 0.000102s : 1: opt.transform.opt_after_cconv 0.00% : 0.000060s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000334s : 28: opt.transform.opt_b 0.01% : 0.000122s : 2: opt.transform.opt_trans_graph 0.01% : 0.000093s : 4: opt.transform.symbol_engine_opt 21.36% : 0.331953s : 1: opt_a 0.02% : 0.000273s : 1: opt_after_cconv 0.05% : 0.000739s : 1: opt_after_jit_grad 0.04% : 0.000591s : 1: opt_b 21.66% : 0.336589s : 1: optimize 0.00% : 0.000040s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000018s : 1: order_py_execute_after_rewriter 0.01% : 0.000079s : 1: overlap_grad_flash_sp 0.00% : 0.000006s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000013s : 1: overlap_grad_ring_attention 0.00% : 0.000008s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000037s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000015s : 1: overlap_param_gather 0.00% : 0.000006s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000014s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000008s : 1: overlap_recompute_comm 0.00% : 0.000011s : 1: parallel-infer-symbol 0.00% : 0.000006s : 1: parallel-infer-symbol-second 0.00% : 0.000008s : 1: partial_unused_args_eliminate 0.00% : 0.000009s : 1: pipeline_parallel_scheduler 0.00% : 0.000007s : 1: pipeline_split 0.01% : 0.000084s : 1: pre_auto_parallel 0.00% : 0.000047s : 1: py_interpret_to_execute 0.00% : 0.000036s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000006s : 1: remove_cast_before_assign_add 0.01% : 0.000083s : 1: remove_dup_value 20.15% : 0.313136s : 4: renormalize.infer 0.21% : 0.003236s : 4: renormalize.specialize 0.00% : 0.000008s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000304s : 1: rewriter_after_opt_a 0.01% : 0.000159s : 1: rewriter_before_opt_a 0.00% : 0.000008s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000008s : 1: slice_recompute_activation 0.00% : 0.000007s : 1: split_layernorm_comm 0.00% : 0.000007s : 1: split_matmul_comm_elemetwise 0.00% : 0.000019s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000167s : 1: symbol_engine_optimizer 0.01% : 0.000174s : 1: tuple_transform 24.47% : 0.380252s : 1: type_inference [WARNING] ME(169254:281473097326384,MainProcess):2026-01-29-17:38:13.103.541 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. . [hook] pytest_runtest_teardown:test_with_stream_with_morph_2 tests/st/compiler/stream_event/test_with_stream.py::test_with_stream_with_morph_2,max_mem:6.0M =============================== 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 ================== 1 passed, 25 warnings in 80.62s (0:01:20) ===================