==================================================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_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 3 items test_ops_pow.py . [hook] pytest_runtest_teardown:test_pow_op_backward_zero_guard[float32-pynative] tests/st/ops/test_ops_pow.py::test_pow_op_backward_zero_guard[float32-pynative],max_mem:2.0M TotalTime = 13.7101, [24] [bootstrap]: 0.00453972 [type_inference]: 2.98148 [event_method]: 0.00024921 [auto_monad]: 0.00100455 [graph_reusing]: 1.174e-05 [inline]: 7.05e-06 [add_attr]: 0.356137, [1] [add_attr_with_inline]: 0.355797, [1] [Cycle 1]: 0.0004991, [2] [tag_attr]: 5.941e-05 [meta_addattr_fg_expand]: 1.217e-05 [parallel-infer-symbol]: 3.75e-06 [pre_auto_parallel]: 0.00023729 [insert-virtual-dataset]: 2.48e-06 [parallel-infer-symbol-second]: 1.01002e-06 [dataset_repeat_opt]: 2.21998e-06 [pipeline_split]: 1.90001e-06 [optimize]: 0.201446, [53] [py_interpret_to_execute]: 1.383e-05 [rewriter_before_opt_a]: 0.00049782 [opt_a]: 0.196751, [3] [Cycle 1]: 0.145871, [45] [expand_dump_flag]: 5.07e-06 [switch_simplify]: 0.00022659 [loop_unroll]: 7.034e-05 [a_1]: 0.00184776 [with_stream_mark]: 3.412e-05 [recompute_prepare]: 2.422e-05 [updatestate_depend_eliminate]: 1.053e-05 [updatestate_assign_eliminate]: 8.37e-06 [updatestate_loads_eliminate]: 7.43999e-06 [parameter_eliminate]: 3.68e-06 [a_2]: 0.00025895 [accelerated_algorithm]: 3.309e-05 [shard]: 2.31998e-06 [meta_shard_fg_expand]: 4.22e-06 [shard_inline]: 1.712e-05 [merge_send_recv]: 0.00010883 [auto_parallel]: 1.363e-05 [parallel]: 0.00046531 [flash_sp]: 5.474e-05 [merge_comm]: 1.111e-05 [allreduce_fusion]: 9.19e-06 [matmul_add_comm_reduction]: 3.36e-05 [allreduce_slice_to_reducescatter]: 6.50005e-07 [virtual_shard_identity]: 2.155e-05 [virtual_dataset]: 1.712e-05 [get_grad_eliminate_]: 1.654e-05 [virtual_output]: 1.586e-05 [merge_forward]: 1.003e-05 [cell_reuse_recompute_pass]: 1.43002e-06 [offload_activation]: 2.176e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.227e-05 [merge_recompute_call_nodes]: 1.50999e-06 [before_grad]: 2.978e-05 [set_forward_comm_id_for_comm_node_pass]: 9.86e-06 [meta_fg_expand]: 0.00998986 [flash_sp_send_recv_attached]: 1.074e-05 [receive_attached]: 5.48e-05 [after_resolve]: 9.758e-05 [a_after_grad]: 0.00010222 [renormalize]: 0.00914304 [add_forward_monad_depend]: 0.00025894 [auto_monad_grad]: 8.41002e-06 [auto_monad_eliminator]: 0.00010255 [cse]: 0.00044314 [a_3]: 0.121768 [Cycle 2]: 0.0491505, [45] [expand_dump_flag]: 8.52998e-06 [switch_simplify]: 6.704e-05 [loop_unroll]: 5.697e-05 [a_1]: 0.00450805 [with_stream_mark]: 4.172e-05 [recompute_prepare]: 2.792e-05 [updatestate_depend_eliminate]: 1.617e-05 [updatestate_assign_eliminate]: 9.36e-06 [updatestate_loads_eliminate]: 9.41e-06 [parameter_eliminate]: 2.64001e-06 [a_2]: 0.00027376 [accelerated_algorithm]: 2.786e-05 [shard]: 2.31e-06 [meta_shard_fg_expand]: 6.65002e-06 [shard_inline]: 2.521e-05 [merge_send_recv]: 2.497e-05 [auto_parallel]: 2.107e-05 [parallel]: 1.081e-05 [flash_sp]: 5.08002e-06 [merge_comm]: 1.103e-05 [allreduce_fusion]: 1.158e-05 [matmul_add_comm_reduction]: 2.049e-05 [allreduce_slice_to_reducescatter]: 6.99976e-07 [virtual_shard_identity]: 2.363e-05 [virtual_dataset]: 1.985e-05 [get_grad_eliminate_]: 1.933e-05 [virtual_output]: 1.849e-05 [merge_forward]: 1.003e-05 [cell_reuse_recompute_pass]: 1.77999e-06 [offload_activation]: 2.101e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.788e-05 [merge_recompute_call_nodes]: 1.64998e-06 [before_grad]: 3.332e-05 [set_forward_comm_id_for_comm_node_pass]: 1.176e-05 [meta_fg_expand]: 0.00013118 [flash_sp_send_recv_attached]: 2.17999e-06 [receive_attached]: 2.37999e-06 [after_resolve]: 2.807e-05 [a_after_grad]: 3.018e-05 [renormalize]: 0.0428354 [add_forward_monad_depend]: 1.427e-05 [auto_monad_grad]: 2.69999e-06 [auto_monad_eliminator]: 5.24e-05 [cse]: 0.00013337 [a_3]: 0.00014699 [Cycle 3]: 0.00170192, [45] [expand_dump_flag]: 3.09999e-06 [switch_simplify]: 1.926e-05 [loop_unroll]: 1.615e-05 [a_1]: 0.00049484 [with_stream_mark]: 2.44e-05 [recompute_prepare]: 1.625e-05 [updatestate_depend_eliminate]: 1.107e-05 [updatestate_assign_eliminate]: 9.52001e-06 [updatestate_loads_eliminate]: 9.10001e-06 [parameter_eliminate]: 2.12999e-06 [a_2]: 0.000235 [accelerated_algorithm]: 2.484e-05 [shard]: 2.19999e-06 [meta_shard_fg_expand]: 4.85999e-06 [shard_inline]: 1.593e-05 [merge_send_recv]: 1.591e-05 [auto_parallel]: 1.816e-05 [parallel]: 1.02e-05 [flash_sp]: 3.01999e-06 [merge_comm]: 1.063e-05 [allreduce_fusion]: 1.145e-05 [matmul_add_comm_reduction]: 1.886e-05 [allreduce_slice_to_reducescatter]: 8.09989e-07 [virtual_shard_identity]: 2.025e-05 [virtual_dataset]: 1.766e-05 [get_grad_eliminate_]: 1.572e-05 [virtual_output]: 1.622e-05 [merge_forward]: 9.93998e-06 [cell_reuse_recompute_pass]: 6.03002e-06 [offload_activation]: 2.081e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.406e-05 [merge_recompute_call_nodes]: 1.81e-06 [before_grad]: 6.69e-05 [set_forward_comm_id_for_comm_node_pass]: 1.263e-05 [meta_fg_expand]: 9.02e-06 [flash_sp_send_recv_attached]: 2.88998e-06 [receive_attached]: 3.33998e-06 [after_resolve]: 2.502e-05 [a_after_grad]: 2.62e-05 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 1.81998e-06 [auto_monad_grad]: 1.45999e-06 [auto_monad_eliminator]: 2.535e-05 [cse]: 6.237e-05 [a_3]: 0.0001121 [py_interpret_to_execute_after_opt_a]: 1.375e-05 [slice_cell_reuse_recomputed_activation]: 2.55997e-06 [rewriter_after_opt_a]: 9.092e-05 [convert_after_rewriter]: 1.40999e-06 [order_py_execute_after_rewriter]: 1.42e-06 [mutable_eliminate]: 0.00102987 [opt_b]: 0.00067386, [1] [Cycle 1]: 0.00066217, [7] [b_1]: 0.00049084 [b_2]: 1.902e-05 [updatestate_depend_eliminate]: 1.457e-05 [updatestate_assign_eliminate]: 8.69998e-06 [updatestate_loads_eliminate]: 8.52e-06 [renormalize]: 5.79981e-07 [cse]: 7.624e-05 [optimize_parallel_all_gather_comm]: 3.777e-05 [overlap_param_gather]: 1.953e-05 [cconv]: 3.81e-05 [loop_unroll]: 0.00053289 [opt_after_cconv]: 0.00022476, [1] [Cycle 1]: 0.00021821, [7] [c_1]: 8.709e-05 [parameter_eliminate]: 3.44001e-06 [updatestate_depend_eliminate]: 1.219e-05 [updatestate_assign_eliminate]: 8.41002e-06 [updatestate_loads_eliminate]: 7.98999e-06 [cse]: 5.943e-05 [renormalize]: 6.59988e-07 [remove_dup_value]: 9.421e-05 [tuple_transform]: 0.00017141, [1] [Cycle 1]: 0.00016525, [4] [d_1]: 0.00012339 [none_parameter_eliminate]: 2.04e-06 [renormalize]: 2.9002e-07 [switch_simplify]: 1.767e-05 [partial_unused_args_eliminate]: 1.72999e-06 [add_recomputation]: 0.00011954 [cse_after_recomputation]: 6.074e-05, [1] [Cycle 1]: 5.527e-05, [1] [cse]: 4.893e-05 [environ_conv]: 2.275e-05 [swap_dp_allreduce_reducescatter]: 1.537e-05 [bias_add_comm_swap]: 3.9e-06 [label_micro_interleaved_index]: 5.89e-06 [label_fine_grained_interleaved_index]: 2.59999e-06 [merge_cast_opt]: 1.57001e-06 [slice_recompute_activation]: 2.33002e-06 [micro_interleaved_order_control]: 2.34999e-06 [assign_add_opt]: 2.46998e-06 [ForceFp32Comm]: 8.80013e-07 [remove_cast_before_assign_add]: 1.15001e-06 [full_micro_interleaved_order_control]: 2.07999e-06 [reorder_send_recv_between_fp_bp]: 2.71e-06 [comm_op_add_attrs]: 1.06002e-06 [add_comm_op_reuse_tag]: 1.00999e-06 [interleave_split_concat_branches]: 2.10002e-06 [interleave_parallel_branches]: 1.13001e-06 [overlap_opt_shard_in_pipeline]: 0.00011502 [overlap_opt_shard_grad_in_pipeline]: 1.86e-06 [control_data_broadcast_order]: 3.267e-05 [grouped_pairwise_exchange_alltoall]: 1.60999e-06 [offloading_packed_experts]: 8.94e-06 [overlap_recompute_and_grad_model_parallel]: 9.92001e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.19998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.39e-06 [overlap_recompute_comm]: 3.777e-05 [overlap_grad_ring_attention]: 1.328e-05 [overlap_grad_flash_sp]: 0.00013292 [begin_end_overlap_inline]: 5.8001e-07 [split_matmul_comm_elemetwise]: 2.19001e-06 [split_layernorm_comm]: 2.06003e-06 [handle_group_info]: 9.20001e-07 [symbol_engine_optimizer]: 0.00022041, [1] [Cycle 1]: 0.00021417, [6] [build]: 6.674e-05 [elim_shapecalc]: 2.498e-05 [elim_not_effective]: 3.598e-05 [opt_reshape]: 1.746e-05 [fold_const_symbol]: 3.231e-05 [renormalize]: 2.3999e-07 [detach_backward]: 2.41e-06 [pipeline_parallel_scheduler]: 1.55999e-06 [auto_monad_reorder]: 4.369e-05 [get_jit_bprop_graph]: 2.34999e-06 [rewriter_after_jit_bprop_graph]: 6.21e-06 [opt_after_jit_grad]: 0.00062616 [validate]: 0.00060595 [backend_pass]: 8.99978e-07 [task_emit]: 10.1633 [execute]: 9.96e-06 Sums bootstrap : 0.004540s : 0.03% type_inference : 2.981477s : 22.33% event_method : 0.000249s : 0.00% auto_monad : 0.001005s : 0.01% graph_reusing : 0.000012s : 0.00% inline : 0.000007s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000059s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000012s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000237s : 0.00% insert-virtual-dataset : 0.000002s : 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 : 0.000014s : 0.00% optimize.rewriter_before_opt_a : 0.000498s : 0.00% optimize.opt_a.expand_dump_flag : 0.000017s : 0.00% optimize.opt_a.switch_simplify : 0.000313s : 0.00% optimize.opt_a.loop_unroll : 0.000143s : 0.00% optimize.opt_a.a_1 : 0.006851s : 0.05% optimize.opt_a.with_stream_mark : 0.000100s : 0.00% optimize.opt_a.recompute_prepare : 0.000068s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000038s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000027s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000026s : 0.00% optimize.opt_a.parameter_eliminate : 0.000008s : 0.00% optimize.opt_a.a_2 : 0.000768s : 0.01% optimize.opt_a.accelerated_algorithm : 0.000086s : 0.00% optimize.opt_a.shard : 0.000007s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000016s : 0.00% optimize.opt_a.shard_inline : 0.000058s : 0.00% optimize.opt_a.merge_send_recv : 0.000150s : 0.00% optimize.opt_a.auto_parallel : 0.000053s : 0.00% optimize.opt_a.parallel : 0.000486s : 0.00% optimize.opt_a.flash_sp : 0.000063s : 0.00% optimize.opt_a.merge_comm : 0.000033s : 0.00% optimize.opt_a.allreduce_fusion : 0.000032s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000073s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000065s : 0.00% optimize.opt_a.virtual_dataset : 0.000055s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000052s : 0.00% optimize.opt_a.virtual_output : 0.000051s : 0.00% optimize.opt_a.merge_forward : 0.000030s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000009s : 0.00% optimize.opt_a.offload_activation : 0.000064s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000104s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000130s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000034s : 0.00% optimize.opt_a.meta_fg_expand : 0.010130s : 0.08% optimize.opt_a.flash_sp_send_recv_attached : 0.000016s : 0.00% optimize.opt_a.receive_attached : 0.000061s : 0.00% optimize.opt_a.after_resolve : 0.000151s : 0.00% optimize.opt_a.a_after_grad : 0.000159s : 0.00% optimize.opt_a.renormalize : 0.051979s : 0.39% optimize.opt_a.add_forward_monad_depend : 0.000275s : 0.00% optimize.opt_a.auto_monad_grad : 0.000013s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000180s : 0.00% optimize.opt_a.cse : 0.000639s : 0.00% optimize.opt_a.a_3 : 0.122027s : 0.91% optimize.py_interpret_to_execute_after_opt_a : 0.000014s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000091s : 0.00% optimize.convert_after_rewriter : 0.000001s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.001030s : 0.01% optimize.opt_b.b_1 : 0.000491s : 0.00% optimize.opt_b.b_2 : 0.000019s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000015s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000009s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000076s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000038s : 0.00% optimize.overlap_param_gather : 0.000020s : 0.00% optimize.cconv : 0.000038s : 0.00% optimize.loop_unroll : 0.000533s : 0.00% optimize.opt_after_cconv.c_1 : 0.000087s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.cse : 0.000059s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000094s : 0.00% optimize.tuple_transform.d_1 : 0.000123s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000018s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000120s : 0.00% optimize.cse_after_recomputation.cse : 0.000049s : 0.00% optimize.environ_conv : 0.000023s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000015s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 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 : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 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 : 0.000002s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000115s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000033s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000009s : 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 : 0.000038s : 0.00% optimize.overlap_grad_ring_attention : 0.000013s : 0.00% optimize.overlap_grad_flash_sp : 0.000133s : 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 : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000067s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000025s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000036s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000017s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000032s : 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 : 0.000044s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000626s : 0.00% validate : 0.000606s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 10.163346s : 76.12% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.001660 292 8.92% : 0.000148s : 21: substitution.arithmetic_simplify 0.33% : 0.000005s : 12: substitution.elim_not_effective 0.69% : 0.000012s : 12: substitution.float_depend_g_call 0.26% : 0.000004s : 3: substitution.float_tuple_getitem_switch 0.34% : 0.000006s : 12: substitution.fold_const_symbol 0.81% : 0.000014s : 14: substitution.graph_param_transform 0.19% : 0.000003s : 2: substitution.incorporate_call 0.17% : 0.000003s : 2: substitution.incorporate_call_switch 55.98% : 0.000929s : 20: substitution.inline 1.84% : 0.000031s : 2: substitution.inline_without_move 1.06% : 0.000018s : 35: substitution.j_node_and_user_rematch 1.47% : 0.000024s : 3: substitution.less_batch_normalization 0.96% : 0.000016s : 11: substitution.minmaximum_grad 0.73% : 0.000012s : 12: substitution.partial_eliminate 1.55% : 0.000026s : 35: substitution.remove_not_recompute_node 2.31% : 0.000038s : 9: substitution.replace_applicator 0.88% : 0.000015s : 12: substitution.replace_old_param 0.15% : 0.000003s : 1: substitution.set_cell_output_no_recompute 3.80% : 0.000063s : 3: substitution.switch_simplify 2.20% : 0.000037s : 11: substitution.tuple_list_convert_item_index_to_positive 0.95% : 0.000016s : 11: substitution.tuple_list_get_item_const_eliminator 1.27% : 0.000021s : 11: substitution.tuple_list_get_item_depend_reorder 4.44% : 0.000074s : 26: substitution.tuple_list_get_item_eliminator 1.28% : 0.000021s : 11: substitution.tuple_list_get_set_item_eliminator 7.41% : 0.000123s : 1: substitution.value_based_eliminate ------[type_inference.] 2.981179 2 99.79% : 2.974812s : 1: type_inference.infer 0.21% : 0.006366s : 1: type_inference.specialize ------[replace.] 0.000374 37 3.96% : 0.000015s : 2: replace.arithmetic_simplify 50.53% : 0.000189s : 20: replace.inline 14.83% : 0.000056s : 3: replace.switch_simplify 30.69% : 0.000115s : 12: replace.tuple_list_get_item_eliminator ------[match.] 0.001061 37 4.97% : 0.000053s : 2: match.arithmetic_simplify 86.32% : 0.000916s : 20: match.inline 5.74% : 0.000061s : 3: match.switch_simplify 2.97% : 0.000032s : 12: match.tuple_list_get_item_eliminator ------[predicate.] 0.001229 7442 1.29% : 0.000016s : 84: predicate.accumulaten_eliminater 0.37% : 0.000005s : 14: predicate.ad_related_special_op_eliminate 0.51% : 0.000006s : 45: predicate.addn_check_dump 0.89% : 0.000011s : 84: predicate.addn_zero_filter 0.87% : 0.000011s : 84: predicate.adjust_all_reduce_mul_add 2.64% : 0.000032s : 131: predicate.arithmetic_simplify 0.96% : 0.000012s : 86: predicate.cast_eliminate 0.99% : 0.000012s : 87: predicate.check_bprop_eliminate 0.51% : 0.000006s : 45: predicate.compare_switch_simplify 0.09% : 0.000001s : 14: predicate.const_output_eliminate 0.55% : 0.000007s : 45: predicate.depend_value_elim 1.05% : 0.000013s : 86: predicate.dict_get_item_const_eliminator 1.14% : 0.000014s : 86: predicate.dict_get_item_eliminator 0.92% : 0.000011s : 86: predicate.dict_set_item_eliminator 0.46% : 0.000006s : 28: predicate.dumpgradient_eliminate 0.11% : 0.000001s : 14: predicate.elim_not_effective 0.20% : 0.000002s : 14: predicate.elim_shapecalc_of_broadcastargs 1.09% : 0.000013s : 100: predicate.environ_add_const_eliminate 1.10% : 0.000014s : 100: predicate.environ_get_add_eliminate 1.07% : 0.000013s : 100: predicate.environ_get_depend_swap 1.61% : 0.000020s : 145: predicate.environ_get_eliminate 1.07% : 0.000013s : 100: predicate.environ_get_set_eliminate 1.33% : 0.000016s : 118: predicate.exchange_switch_depend_value 2.13% : 0.000026s : 118: predicate.float_depend_g_call 0.52% : 0.000006s : 45: predicate.float_environ_get_switch 0.72% : 0.000009s : 59: predicate.float_tuple_getitem_switch 0.09% : 0.000001s : 14: predicate.fold_const_symbol 0.55% : 0.000007s : 45: predicate.get_grad_eliminate 0.10% : 0.000001s : 14: predicate.graph_param_transform 0.50% : 0.000006s : 45: predicate.incorporate_call 0.47% : 0.000006s : 45: predicate.incorporate_call_switch 7.81% : 0.000096s : 320: predicate.inline 1.04% : 0.000013s : 68: predicate.inline_without_move 0.27% : 0.000003s : 45: predicate.j_node_and_user_rematch 0.76% : 0.000009s : 45: predicate.less_batch_normalization 1.54% : 0.000019s : 126: predicate.list_to_tuple_eliminator_ 2.23% : 0.000027s : 210: predicate.load_eliminater 0.36% : 0.000004s : 14: predicate.loop_unroll_after_grad 1.76% : 0.000022s : 156: predicate.loop_unroll_before_grad 1.32% : 0.000016s : 114: predicate.make_slice_get_slice_eliminator 0.55% : 0.000007s : 45: predicate.merge_addn 1.09% : 0.000013s : 87: predicate.micro_step_allgather_replace 1.56% : 0.000019s : 87: predicate.mini_step_allgather_replace 0.90% : 0.000011s : 86: predicate.minmaximum_grad 0.52% : 0.000006s : 14: predicate.mutable_eliminate 0.22% : 0.000003s : 14: predicate.opt_reshape 0.22% : 0.000003s : 14: predicate.parallel_virtual_node 1.77% : 0.000022s : 118: predicate.partial_defer_inline 1.38% : 0.000017s : 112: predicate.partial_eliminate 1.02% : 0.000013s : 84: predicate.print_const_string_wrapper 0.60% : 0.000007s : 45: predicate.reduce_all_const_elim 1.45% : 0.000018s : 86: predicate.reduce_eliminate 2.59% : 0.000032s : 210: predicate.redundant_stop_gradient_eliminater 0.30% : 0.000004s : 45: predicate.remove_not_recompute_node 1.54% : 0.000019s : 185: predicate.replace_applicator 0.57% : 0.000007s : 68: predicate.replace_old_param 0.10% : 0.000001s : 14: predicate.reset_defer_inline 1.21% : 0.000015s : 86: predicate.reshape_eliminate 4.14% : 0.000051s : 87: predicate.row_tensor_add_zeros_like 0.24% : 0.000003s : 14: predicate.row_tensor_eliminate 1.34% : 0.000016s : 87: predicate.same_eliminate 0.34% : 0.000004s : 45: predicate.set_cell_output_no_recompute 0.96% : 0.000012s : 45: predicate.shard_identity_eliminate 0.39% : 0.000005s : 28: predicate.special_op_eliminate 0.60% : 0.000007s : 45: predicate.specialize_transform 1.23% : 0.000015s : 87: predicate.split_environ_get_set_with_tuple_value 1.00% : 0.000012s : 68: predicate.stack_unstack_eliminate 0.18% : 0.000002s : 14: predicate.switch_call_monad_eliminater 1.48% : 0.000018s : 118: predicate.switch_defer_inline 2.78% : 0.000034s : 205: predicate.switch_layer_defer_inline 4.23% : 0.000052s : 339: predicate.switch_simplify 0.91% : 0.000011s : 86: predicate.tile_eliminate 0.90% : 0.000011s : 86: predicate.transpose_eliminate 1.39% : 0.000017s : 114: predicate.tuple_list_convert_item_index_to_positive 1.36% : 0.000017s : 114: predicate.tuple_list_get_item_const_eliminator 1.32% : 0.000016s : 114: predicate.tuple_list_get_item_depend_reorder 2.64% : 0.000032s : 171: predicate.tuple_list_get_item_eliminator 1.38% : 0.000017s : 114: predicate.tuple_list_get_set_item_eliminator 1.99% : 0.000024s : 159: predicate.tuple_list_set_item_eliminator 1.65% : 0.000020s : 126: predicate.tuple_to_list_eliminator_ 2.15% : 0.000026s : 210: predicate.updatestate_pure_node_eliminater 2.78% : 0.000034s : 255: predicate.updatestate_useless_node_eliminater 0.32% : 0.000004s : 14: predicate.value_based_eliminate 0.72% : 0.000009s : 45: predicate.virtual_dataset_eliminate 0.61% : 0.000007s : 45: predicate.virtual_output_eliminate 0.17% : 0.000002s : 14: predicate.virtual_view_grad_eliminate 0.23% : 0.000003s : 14: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.310830 38 99.13% : 0.308121s : 14: func_graph_cloner_run.FuncGraphClonerGraph 0.87% : 0.002709s : 24: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 14.450847 237 0.00% : 0.000004s : 1: ForceFp32Comm 2.46% : 0.356144s : 1: add_attr 2.46% : 0.355804s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000125s : 1: add_recomputation 0.00% : 0.000006s : 1: assign_add_opt 0.01% : 0.001019s : 1: auto_monad 0.00% : 0.000048s : 1: auto_monad_reorder 0.00% : 0.000007s : 1: backend_pass 0.00% : 0.000005s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.03% : 0.004589s : 1: bootstrap 0.00% : 0.000043s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000036s : 1: control_data_broadcast_order 0.00% : 0.000005s : 1: convert_after_rewriter 0.00% : 0.000064s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000027s : 1: environ_conv 0.00% : 0.000264s : 1: event_method 0.00% : 0.000017s : 1: execute 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% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000010s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.00% : 0.000544s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.01% : 0.001045s : 1: mutable_eliminate 0.00% : 0.000012s : 1: offloading_packed_experts 0.00% : 0.000028s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000032s : 1: opt.transform.mutable_eliminate 0.91% : 0.130863s : 117: opt.transform.opt_a 0.00% : 0.000086s : 1: opt.transform.opt_after_cconv 0.00% : 0.000063s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000475s : 28: opt.transform.opt_b 0.00% : 0.000139s : 2: opt.transform.opt_trans_graph 0.00% : 0.000106s : 4: opt.transform.symbol_engine_opt 1.36% : 0.196758s : 1: opt_a 0.00% : 0.000229s : 1: opt_after_cconv 0.00% : 0.000638s : 1: opt_after_jit_grad 0.00% : 0.000678s : 1: opt_b 1.39% : 0.201452s : 1: optimize 0.00% : 0.000042s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000005s : 1: order_py_execute_after_rewriter 0.00% : 0.000137s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000017s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000121s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000024s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000013s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000042s : 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% : 0.000007s : 1: pipeline_split 0.00% : 0.000242s : 1: pre_auto_parallel 0.00% : 0.000018s : 1: py_interpret_to_execute 0.00% : 0.000017s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000100s : 1: remove_dup_value 0.33% : 0.048360s : 2: renormalize.infer 0.02% : 0.003576s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000096s : 1: rewriter_after_opt_a 0.00% : 0.000508s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000019s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000224s : 1: symbol_engine_optimizer 70.33% : 10.163376s : 1: task_emit 0.00% : 0.000175s : 1: tuple_transform 20.63% : 2.981514s : 1: type_inference 0.00% : 0.000659s : 1: validate . [hook] pytest_runtest_teardown:test_pow_op_backward_zero_guard[float32-kbk] tests/st/ops/test_ops_pow.py::test_pow_op_backward_zero_guard[float32-kbk],max_mem:4.0M ........ TotalTime = 177.07, [24] [bootstrap]: 0.00074345 [type_inference]: 0.427651 [event_method]: 0.00013759 [auto_monad]: 0.00015648 [graph_reusing]: 1.048e-05 [inline]: 3.44001e-06 [add_attr]: 0.00498539, [1] [add_attr_with_inline]: 0.00496787, [1] [Cycle 1]: 0.00010928, [2] [tag_attr]: 5.318e-05 [meta_addattr_fg_expand]: 1.043e-05 [parallel-infer-symbol]: 3.85998e-06 [pre_auto_parallel]: 7.619e-05 [insert-virtual-dataset]: 2.78998e-06 [parallel-infer-symbol-second]: 1.09998e-06 [dataset_repeat_opt]: 2.54999e-06 [pipeline_split]: 2.04999e-06 [optimize]: 0.241452, [53] [py_interpret_to_execute]: 7.13998e-06 [rewriter_before_opt_a]: 0.00041465 [opt_a]: 0.237555, [3] [Cycle 1]: 0.230608, [45] [expand_dump_flag]: 4.72998e-06 [switch_simplify]: 0.00017235 [loop_unroll]: 6.921e-05 [a_1]: 0.00171197 [with_stream_mark]: 3.644e-05 [recompute_prepare]: 2.68e-05 [updatestate_depend_eliminate]: 9.84001e-06 [updatestate_assign_eliminate]: 8.02e-06 [updatestate_loads_eliminate]: 7.27002e-06 [parameter_eliminate]: 4.02998e-06 [a_2]: 0.00025162 [accelerated_algorithm]: 3.597e-05 [shard]: 3.11999e-06 [meta_shard_fg_expand]: 4.68001e-06 [shard_inline]: 1.713e-05 [merge_send_recv]: 1.774e-05 [auto_parallel]: 1.465e-05 [parallel]: 3.372e-05 [flash_sp]: 1.112e-05 [merge_comm]: 9.79e-06 [allreduce_fusion]: 8.93002e-06 [matmul_add_comm_reduction]: 3.582e-05 [allreduce_slice_to_reducescatter]: 8.79983e-07 [virtual_shard_identity]: 1.913e-05 [virtual_dataset]: 1.592e-05 [get_grad_eliminate_]: 1.709e-05 [virtual_output]: 1.644e-05 [merge_forward]: 1.065e-05 [cell_reuse_recompute_pass]: 1.72001e-06 [offload_activation]: 2.085e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.344e-05 [merge_recompute_call_nodes]: 2.12999e-06 [before_grad]: 3.021e-05 [set_forward_comm_id_for_comm_node_pass]: 1.097e-05 [meta_fg_expand]: 0.00187876 [flash_sp_send_recv_attached]: 7.21001e-06 [receive_attached]: 2.59999e-06 [after_resolve]: 6.895e-05 [a_after_grad]: 8.804e-05 [renormalize]: 0.224663 [add_forward_monad_depend]: 2.103e-05 [auto_monad_grad]: 6.39999e-06 [auto_monad_eliminator]: 7.893e-05 [cse]: 0.00031663 [a_3]: 0.00042537 [Cycle 2]: 0.00533164, [45] [expand_dump_flag]: 2.91999e-06 [switch_simplify]: 5.785e-05 [loop_unroll]: 7.288e-05 [a_1]: 0.00216976 [with_stream_mark]: 3.414e-05 [recompute_prepare]: 2.44e-05 [updatestate_depend_eliminate]: 1.146e-05 [updatestate_assign_eliminate]: 9.08002e-06 [updatestate_loads_eliminate]: 1.636e-05 [parameter_eliminate]: 3.45998e-06 [a_2]: 0.00025799 [accelerated_algorithm]: 2.522e-05 [shard]: 2.77002e-06 [meta_shard_fg_expand]: 5.35001e-06 [shard_inline]: 2.176e-05 [merge_send_recv]: 1.862e-05 [auto_parallel]: 1.905e-05 [parallel]: 1.109e-05 [flash_sp]: 5.20001e-06 [merge_comm]: 1.08e-05 [allreduce_fusion]: 1.05e-05 [matmul_add_comm_reduction]: 1.834e-05 [allreduce_slice_to_reducescatter]: 9.50007e-07 [virtual_shard_identity]: 2.127e-05 [virtual_dataset]: 1.745e-05 [get_grad_eliminate_]: 1.679e-05 [virtual_output]: 1.654e-05 [merge_forward]: 1.006e-05 [cell_reuse_recompute_pass]: 1.92001e-06 [offload_activation]: 1.938e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.681e-05 [merge_recompute_call_nodes]: 1.42999e-06 [before_grad]: 3.261e-05 [set_forward_comm_id_for_comm_node_pass]: 1.154e-05 [meta_fg_expand]: 9.527e-05 [flash_sp_send_recv_attached]: 2.37999e-06 [receive_attached]: 2.57001e-06 [after_resolve]: 2.775e-05 [a_after_grad]: 2.94e-05 [renormalize]: 0.00158459 [add_forward_monad_depend]: 9.37999e-06 [auto_monad_grad]: 2.83e-06 [auto_monad_eliminator]: 3.46e-05 [cse]: 0.00010251 [a_3]: 0.00012662 [Cycle 3]: 0.00159217, [45] [expand_dump_flag]: 3.67998e-06 [switch_simplify]: 1.895e-05 [loop_unroll]: 1.609e-05 [a_1]: 0.00045798 [with_stream_mark]: 2.456e-05 [recompute_prepare]: 1.688e-05 [updatestate_depend_eliminate]: 9.62999e-06 [updatestate_assign_eliminate]: 8.97e-06 [updatestate_loads_eliminate]: 8.47e-06 [parameter_eliminate]: 2.48998e-06 [a_2]: 0.00022822 [accelerated_algorithm]: 2.387e-05 [shard]: 2.39001e-06 [meta_shard_fg_expand]: 3.97e-06 [shard_inline]: 1.646e-05 [merge_send_recv]: 1.536e-05 [auto_parallel]: 1.664e-05 [parallel]: 8.89003e-06 [flash_sp]: 1.81998e-06 [merge_comm]: 9.47001e-06 [allreduce_fusion]: 9.39998e-06 [matmul_add_comm_reduction]: 1.666e-05 [allreduce_slice_to_reducescatter]: 6.10016e-07 [virtual_shard_identity]: 1.984e-05 [virtual_dataset]: 1.581e-05 [get_grad_eliminate_]: 1.569e-05 [virtual_output]: 1.506e-05 [merge_forward]: 1.126e-05 [cell_reuse_recompute_pass]: 3.93001e-06 [offload_activation]: 1.841e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.471e-05 [merge_recompute_call_nodes]: 1.39e-06 [before_grad]: 2.896e-05 [set_forward_comm_id_for_comm_node_pass]: 1.14e-05 [meta_fg_expand]: 6.78e-06 [flash_sp_send_recv_attached]: 2.15002e-06 [receive_attached]: 2.17001e-06 [after_resolve]: 2.194e-05 [a_after_grad]: 2.539e-05 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 4.13999e-06 [auto_monad_grad]: 1.72001e-06 [auto_monad_eliminator]: 2.444e-05 [cse]: 6.549e-05 [a_3]: 0.00010611 [py_interpret_to_execute_after_opt_a]: 9.82001e-06 [slice_cell_reuse_recomputed_activation]: 2.02999e-06 [rewriter_after_opt_a]: 5.394e-05 [convert_after_rewriter]: 1.29e-06 [order_py_execute_after_rewriter]: 1.35999e-06 [mutable_eliminate]: 0.00084133 [opt_b]: 0.0006134, [1] [Cycle 1]: 0.00060385, [7] [b_1]: 0.00041927 [b_2]: 2.099e-05 [updatestate_depend_eliminate]: 1.88e-05 [updatestate_assign_eliminate]: 8.57e-06 [updatestate_loads_eliminate]: 8.52e-06 [renormalize]: 4.99975e-07 [cse]: 7.977e-05 [optimize_parallel_all_gather_comm]: 3.742e-05 [overlap_param_gather]: 2.19001e-06 [cconv]: 4.396e-05 [loop_unroll]: 0.00057543 [opt_after_cconv]: 0.00023173, [1] [Cycle 1]: 0.00022431, [7] [c_1]: 8.743e-05 [parameter_eliminate]: 6.61e-06 [updatestate_depend_eliminate]: 1.308e-05 [updatestate_assign_eliminate]: 7.96001e-06 [updatestate_loads_eliminate]: 7.76001e-06 [cse]: 6.348e-05 [renormalize]: 3.50003e-07 [remove_dup_value]: 0.00010183 [tuple_transform]: 0.00017098, [1] [Cycle 1]: 0.00016477, [4] [d_1]: 0.00012178 [none_parameter_eliminate]: 2.27999e-06 [renormalize]: 1.50001e-07 [switch_simplify]: 1.8e-05 [partial_unused_args_eliminate]: 2.22999e-06 [add_recomputation]: 0.00010457 [cse_after_recomputation]: 6.18e-05, [1] [Cycle 1]: 5.619e-05, [1] [cse]: 4.835e-05 [environ_conv]: 1.593e-05 [swap_dp_allreduce_reducescatter]: 1.389e-05 [bias_add_comm_swap]: 3.66001e-06 [label_micro_interleaved_index]: 5.72001e-06 [label_fine_grained_interleaved_index]: 2.63e-06 [merge_cast_opt]: 1.80001e-06 [slice_recompute_activation]: 2.26e-06 [micro_interleaved_order_control]: 2.68e-06 [assign_add_opt]: 1.34e-06 [ForceFp32Comm]: 1.18001e-06 [remove_cast_before_assign_add]: 1.17999e-06 [full_micro_interleaved_order_control]: 2.39999e-06 [reorder_send_recv_between_fp_bp]: 2.62001e-06 [comm_op_add_attrs]: 1.03001e-06 [add_comm_op_reuse_tag]: 1.00999e-06 [interleave_split_concat_branches]: 1.45999e-06 [interleave_parallel_branches]: 1.09e-06 [overlap_opt_shard_in_pipeline]: 1.86e-06 [overlap_opt_shard_grad_in_pipeline]: 1.82001e-06 [control_data_broadcast_order]: 2.977e-05 [grouped_pairwise_exchange_alltoall]: 1.47999e-06 [offloading_packed_experts]: 8.33999e-06 [overlap_recompute_and_grad_model_parallel]: 9.27999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.19e-06 [overlap_recompute_allgather_and_fa_grad]: 1.31002e-06 [overlap_recompute_comm]: 2.64999e-06 [overlap_grad_ring_attention]: 8.3e-06 [overlap_grad_flash_sp]: 4.399e-05 [begin_end_overlap_inline]: 6.69999e-07 [split_matmul_comm_elemetwise]: 2.27999e-06 [split_layernorm_comm]: 1.86998e-06 [handle_group_info]: 1.34998e-06 [symbol_engine_optimizer]: 0.00015878, [1] [Cycle 1]: 0.00015359, [6] [build]: 1.436e-05 [elim_shapecalc]: 2.474e-05 [elim_not_effective]: 3.367e-05 [opt_reshape]: 1.642e-05 [fold_const_symbol]: 2.86e-05 [renormalize]: 2.50002e-07 [detach_backward]: 2.42001e-06 [pipeline_parallel_scheduler]: 1.54e-06 [auto_monad_reorder]: 3.647e-05 [get_jit_bprop_graph]: 2.16998e-06 [rewriter_after_jit_bprop_graph]: 6.73e-06 [opt_after_jit_grad]: 0.00064725 [validate]: 8.411e-05 [backend_pass]: 1.57001e-06 [task_emit]: 176.394 [execute]: 1.142e-05 Sums bootstrap : 0.000743s : 0.00% type_inference : 0.427651s : 0.24% event_method : 0.000138s : 0.00% auto_monad : 0.000156s : 0.00% graph_reusing : 0.000010s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000053s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000010s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000076s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000007s : 0.00% optimize.rewriter_before_opt_a : 0.000415s : 0.00% optimize.opt_a.expand_dump_flag : 0.000011s : 0.00% optimize.opt_a.switch_simplify : 0.000249s : 0.00% optimize.opt_a.loop_unroll : 0.000158s : 0.00% optimize.opt_a.a_1 : 0.004340s : 0.00% optimize.opt_a.with_stream_mark : 0.000095s : 0.00% optimize.opt_a.recompute_prepare : 0.000068s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000031s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000026s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000032s : 0.00% optimize.opt_a.parameter_eliminate : 0.000010s : 0.00% optimize.opt_a.a_2 : 0.000738s : 0.00% optimize.opt_a.accelerated_algorithm : 0.000085s : 0.00% optimize.opt_a.shard : 0.000008s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000014s : 0.00% optimize.opt_a.shard_inline : 0.000055s : 0.00% optimize.opt_a.merge_send_recv : 0.000052s : 0.00% optimize.opt_a.auto_parallel : 0.000050s : 0.00% optimize.opt_a.parallel : 0.000054s : 0.00% optimize.opt_a.flash_sp : 0.000018s : 0.00% optimize.opt_a.merge_comm : 0.000030s : 0.00% optimize.opt_a.allreduce_fusion : 0.000029s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000071s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000060s : 0.00% optimize.opt_a.virtual_dataset : 0.000049s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000050s : 0.00% optimize.opt_a.virtual_output : 0.000048s : 0.00% optimize.opt_a.merge_forward : 0.000032s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% optimize.opt_a.offload_activation : 0.000059s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000105s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000092s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000034s : 0.00% optimize.opt_a.meta_fg_expand : 0.001981s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000012s : 0.00% optimize.opt_a.receive_attached : 0.000007s : 0.00% optimize.opt_a.after_resolve : 0.000119s : 0.00% optimize.opt_a.a_after_grad : 0.000143s : 0.00% optimize.opt_a.renormalize : 0.226248s : 0.13% optimize.opt_a.add_forward_monad_depend : 0.000035s : 0.00% optimize.opt_a.auto_monad_grad : 0.000011s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000138s : 0.00% optimize.opt_a.cse : 0.000485s : 0.00% optimize.opt_a.a_3 : 0.000658s : 0.00% optimize.py_interpret_to_execute_after_opt_a : 0.000010s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000054s : 0.00% optimize.convert_after_rewriter : 0.000001s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.000841s : 0.00% optimize.opt_b.b_1 : 0.000419s : 0.00% optimize.opt_b.b_2 : 0.000021s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000019s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000009s : 0.00% optimize.opt_b.renormalize : 0.000000s : 0.00% optimize.opt_b.cse : 0.000080s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000037s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000044s : 0.00% optimize.loop_unroll : 0.000575s : 0.00% optimize.opt_after_cconv.c_1 : 0.000087s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.cse : 0.000063s : 0.00% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000102s : 0.00% optimize.tuple_transform.d_1 : 0.000122s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000018s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000105s : 0.00% optimize.cse_after_recomputation.cse : 0.000048s : 0.00% optimize.environ_conv : 0.000016s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000014s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 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 : 0.000002s : 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 : 0.000002s : 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 : 0.000002s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000030s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000001s : 0.00% optimize.offloading_packed_experts : 0.000008s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000009s : 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 : 0.000008s : 0.00% optimize.overlap_grad_flash_sp : 0.000044s : 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 : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000014s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000025s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000034s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000016s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000029s : 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 : 0.000647s : 0.00% validate : 0.000084s : 0.00% backend_pass : 0.000002s : 0.00% task_emit : 176.393894s : 99.62% execute : 0.000011s : 0.00% Time group info: ------[substitution.] 0.001165 292 11.45% : 0.000133s : 21: substitution.arithmetic_simplify 0.44% : 0.000005s : 12: substitution.elim_not_effective 0.81% : 0.000009s : 12: substitution.float_depend_g_call 0.35% : 0.000004s : 3: substitution.float_tuple_getitem_switch 0.37% : 0.000004s : 12: substitution.fold_const_symbol 1.09% : 0.000013s : 14: substitution.graph_param_transform 0.21% : 0.000002s : 2: substitution.incorporate_call 0.20% : 0.000002s : 2: substitution.incorporate_call_switch 55.92% : 0.000651s : 20: substitution.inline 1.68% : 0.000020s : 2: substitution.inline_without_move 1.56% : 0.000018s : 35: substitution.j_node_and_user_rematch 1.67% : 0.000019s : 3: substitution.less_batch_normalization 1.31% : 0.000015s : 11: substitution.minmaximum_grad 0.87% : 0.000010s : 12: substitution.partial_eliminate 2.08% : 0.000024s : 35: substitution.remove_not_recompute_node 2.44% : 0.000028s : 9: substitution.replace_applicator 1.14% : 0.000013s : 12: substitution.replace_old_param 0.28% : 0.000003s : 1: substitution.set_cell_output_no_recompute 1.05% : 0.000012s : 3: substitution.switch_simplify 2.68% : 0.000031s : 11: substitution.tuple_list_convert_item_index_to_positive 1.28% : 0.000015s : 11: substitution.tuple_list_get_item_const_eliminator 1.80% : 0.000021s : 11: substitution.tuple_list_get_item_depend_reorder 6.25% : 0.000073s : 26: substitution.tuple_list_get_item_eliminator 1.78% : 0.000021s : 11: substitution.tuple_list_get_set_item_eliminator 1.28% : 0.000015s : 1: substitution.value_based_eliminate ------[type_inference.] 0.427530 2 99.21% : 0.424137s : 1: type_inference.infer 0.79% : 0.003393s : 1: type_inference.specialize ------[replace.] 0.000319 37 4.73% : 0.000015s : 2: replace.arithmetic_simplify 52.41% : 0.000167s : 20: replace.inline 15.61% : 0.000050s : 3: replace.switch_simplify 27.24% : 0.000087s : 12: replace.tuple_list_get_item_eliminator ------[match.] 0.000719 37 5.25% : 0.000038s : 2: match.arithmetic_simplify 88.71% : 0.000638s : 20: match.inline 1.41% : 0.000010s : 3: match.switch_simplify 4.63% : 0.000033s : 12: match.tuple_list_get_item_eliminator ------[predicate.] 0.001120 7442 1.16% : 0.000013s : 84: predicate.accumulaten_eliminater 0.41% : 0.000005s : 14: predicate.ad_related_special_op_eliminate 0.55% : 0.000006s : 45: predicate.addn_check_dump 1.00% : 0.000011s : 84: predicate.addn_zero_filter 0.91% : 0.000010s : 84: predicate.adjust_all_reduce_mul_add 2.20% : 0.000025s : 131: predicate.arithmetic_simplify 1.07% : 0.000012s : 86: predicate.cast_eliminate 1.10% : 0.000012s : 87: predicate.check_bprop_eliminate 0.62% : 0.000007s : 45: predicate.compare_switch_simplify 0.10% : 0.000001s : 14: predicate.const_output_eliminate 0.57% : 0.000006s : 45: predicate.depend_value_elim 1.09% : 0.000012s : 86: predicate.dict_get_item_const_eliminator 1.08% : 0.000012s : 86: predicate.dict_get_item_eliminator 1.12% : 0.000013s : 86: predicate.dict_set_item_eliminator 0.50% : 0.000006s : 28: predicate.dumpgradient_eliminate 0.12% : 0.000001s : 14: predicate.elim_not_effective 0.27% : 0.000003s : 14: predicate.elim_shapecalc_of_broadcastargs 1.15% : 0.000013s : 100: predicate.environ_add_const_eliminate 1.22% : 0.000014s : 100: predicate.environ_get_add_eliminate 1.28% : 0.000014s : 100: predicate.environ_get_depend_swap 1.72% : 0.000019s : 145: predicate.environ_get_eliminate 1.13% : 0.000013s : 100: predicate.environ_get_set_eliminate 1.59% : 0.000018s : 118: predicate.exchange_switch_depend_value 2.02% : 0.000023s : 118: predicate.float_depend_g_call 0.53% : 0.000006s : 45: predicate.float_environ_get_switch 0.74% : 0.000008s : 59: predicate.float_tuple_getitem_switch 0.09% : 0.000001s : 14: predicate.fold_const_symbol 0.72% : 0.000008s : 45: predicate.get_grad_eliminate 0.13% : 0.000001s : 14: predicate.graph_param_transform 0.54% : 0.000006s : 45: predicate.incorporate_call 0.50% : 0.000006s : 45: predicate.incorporate_call_switch 5.36% : 0.000060s : 320: predicate.inline 1.18% : 0.000013s : 68: predicate.inline_without_move 0.29% : 0.000003s : 45: predicate.j_node_and_user_rematch 0.76% : 0.000009s : 45: predicate.less_batch_normalization 1.55% : 0.000017s : 126: predicate.list_to_tuple_eliminator_ 2.47% : 0.000028s : 210: predicate.load_eliminater 0.37% : 0.000004s : 14: predicate.loop_unroll_after_grad 1.85% : 0.000021s : 156: predicate.loop_unroll_before_grad 1.44% : 0.000016s : 114: predicate.make_slice_get_slice_eliminator 0.61% : 0.000007s : 45: predicate.merge_addn 1.07% : 0.000012s : 87: predicate.micro_step_allgather_replace 1.06% : 0.000012s : 87: predicate.mini_step_allgather_replace 0.99% : 0.000011s : 86: predicate.minmaximum_grad 0.56% : 0.000006s : 14: predicate.mutable_eliminate 0.19% : 0.000002s : 14: predicate.opt_reshape 0.20% : 0.000002s : 14: predicate.parallel_virtual_node 1.72% : 0.000019s : 118: predicate.partial_defer_inline 1.50% : 0.000017s : 112: predicate.partial_eliminate 1.05% : 0.000012s : 84: predicate.print_const_string_wrapper 0.54% : 0.000006s : 45: predicate.reduce_all_const_elim 1.18% : 0.000013s : 86: predicate.reduce_eliminate 2.37% : 0.000026s : 210: predicate.redundant_stop_gradient_eliminater 0.35% : 0.000004s : 45: predicate.remove_not_recompute_node 1.59% : 0.000018s : 185: predicate.replace_applicator 0.52% : 0.000006s : 68: predicate.replace_old_param 0.14% : 0.000002s : 14: predicate.reset_defer_inline 1.04% : 0.000012s : 86: predicate.reshape_eliminate 1.09% : 0.000012s : 87: predicate.row_tensor_add_zeros_like 0.26% : 0.000003s : 14: predicate.row_tensor_eliminate 1.27% : 0.000014s : 87: predicate.same_eliminate 0.41% : 0.000005s : 45: predicate.set_cell_output_no_recompute 0.75% : 0.000008s : 45: predicate.shard_identity_eliminate 0.40% : 0.000004s : 28: predicate.special_op_eliminate 0.70% : 0.000008s : 45: predicate.specialize_transform 1.20% : 0.000013s : 87: predicate.split_environ_get_set_with_tuple_value 1.03% : 0.000012s : 68: predicate.stack_unstack_eliminate 0.19% : 0.000002s : 14: predicate.switch_call_monad_eliminater 1.50% : 0.000017s : 118: predicate.switch_defer_inline 2.53% : 0.000028s : 205: predicate.switch_layer_defer_inline 4.46% : 0.000050s : 339: predicate.switch_simplify 1.08% : 0.000012s : 86: predicate.tile_eliminate 1.04% : 0.000012s : 86: predicate.transpose_eliminate 1.47% : 0.000016s : 114: predicate.tuple_list_convert_item_index_to_positive 1.50% : 0.000017s : 114: predicate.tuple_list_get_item_const_eliminator 1.40% : 0.000016s : 114: predicate.tuple_list_get_item_depend_reorder 2.61% : 0.000029s : 171: predicate.tuple_list_get_item_eliminator 1.66% : 0.000019s : 114: predicate.tuple_list_get_set_item_eliminator 1.97% : 0.000022s : 159: predicate.tuple_list_set_item_eliminator 4.85% : 0.000054s : 126: predicate.tuple_to_list_eliminator_ 2.54% : 0.000028s : 210: predicate.updatestate_pure_node_eliminater 3.00% : 0.000034s : 255: predicate.updatestate_useless_node_eliminater 0.26% : 0.000003s : 14: predicate.value_based_eliminate 0.66% : 0.000007s : 45: predicate.virtual_dataset_eliminate 0.60% : 0.000007s : 45: predicate.virtual_output_eliminate 0.17% : 0.000002s : 14: predicate.virtual_view_grad_eliminate 0.24% : 0.000003s : 14: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.223212 38 99.47% : 0.222030s : 14: func_graph_cloner_run.FuncGraphClonerGraph 0.53% : 0.001182s : 24: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 177.550532 237 0.00% : 0.000005s : 1: ForceFp32Comm 0.00% : 0.004992s : 1: add_attr 0.00% : 0.004973s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000110s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.00% : 0.000166s : 1: auto_monad 0.00% : 0.000041s : 1: auto_monad_reorder 0.00% : 0.000007s : 1: backend_pass 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.00% : 0.000779s : 1: bootstrap 0.00% : 0.000048s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000034s : 1: control_data_broadcast_order 0.00% : 0.000005s : 1: convert_after_rewriter 0.00% : 0.000066s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000020s : 1: environ_conv 0.00% : 0.000149s : 1: event_method 0.00% : 0.000019s : 1: execute 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 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% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.00% : 0.000586s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.00% : 0.000855s : 1: mutable_eliminate 0.00% : 0.000012s : 1: offloading_packed_experts 0.00% : 0.000029s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000037s : 1: opt.transform.mutable_eliminate 0.00% : 0.006851s : 117: opt.transform.opt_a 0.00% : 0.000086s : 1: opt.transform.opt_after_cconv 0.00% : 0.000064s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000406s : 28: opt.transform.opt_b 0.00% : 0.000137s : 2: opt.transform.opt_trans_graph 0.00% : 0.000099s : 4: opt.transform.symbol_engine_opt 0.13% : 0.237560s : 1: opt_a 0.00% : 0.000236s : 1: opt_after_cconv 0.00% : 0.000660s : 1: opt_after_jit_grad 0.00% : 0.000618s : 1: opt_b 0.14% : 0.241457s : 1: optimize 0.00% : 0.000042s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000005s : 1: order_py_execute_after_rewriter 0.00% : 0.000048s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000012s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000005s : 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% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000007s : 1: pipeline_split 0.00% : 0.000081s : 1: pre_auto_parallel 0.00% : 0.000011s : 1: py_interpret_to_execute 0.00% : 0.000014s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000107s : 1: remove_dup_value 0.13% : 0.223681s : 2: renormalize.infer 0.00% : 0.002541s : 2: 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% : 0.000059s : 1: rewriter_after_opt_a 0.00% : 0.000423s : 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% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000018s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000162s : 1: symbol_engine_optimizer 99.35% : 176.393988s : 1: task_emit 0.00% : 0.000174s : 1: tuple_transform 0.24% : 0.427682s : 1: type_inference 0.00% : 0.000138s : 1: validate . [hook] pytest_runtest_teardown:test_pow_op_backward_zero_guard[float32-ge] tests/st/ops/test_ops_pow.py::test_pow_op_backward_zero_guard[float32-ge],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_ops_pow.py::test_pow_op_backward_zero_guard[float32-ge] /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 ================== 3 passed, 26 warnings in 449.43s (0:07:29) ==================