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LanRenZhiNeng/MingChaoAI

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老大哥 提交于 2024-08-19 13:26 . 1.43对接新版本传送
e[1me[35m--- Running analysis [ir_graph_build_pass]e[0m
e[1me[35m--- Running analysis [ir_graph_clean_pass]e[0m
e[1me[35m--- Running analysis [ir_analysis_pass]e[0m
e[32m--- Running IR pass [simplify_with_basic_ops_pass]e[0m
e[32m--- Running IR pass [layer_norm_fuse_pass]e[0m
e[37m--- Fused 0 subgraphs into layer_norm op.e[0m
e[32m--- Running IR pass [attention_lstm_fuse_pass]e[0m
e[32m--- Running IR pass [seqconv_eltadd_relu_fuse_pass]e[0m
e[32m--- Running IR pass [seqpool_cvm_concat_fuse_pass]e[0m
e[32m--- Running IR pass [mul_lstm_fuse_pass]e[0m
e[32m--- Running IR pass [fc_gru_fuse_pass]e[0m
e[37m--- fused 0 pairs of fc gru patternse[0m
e[32m--- Running IR pass [mul_gru_fuse_pass]e[0m
e[32m--- Running IR pass [seq_concat_fc_fuse_pass]e[0m
e[32m--- Running IR pass [squeeze2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [reshape2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [flatten2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [map_matmul_v2_to_mul_pass]e[0m
e[32m--- Running IR pass [map_matmul_v2_to_matmul_pass]e[0m
e[32m--- Running IR pass [map_matmul_to_mul_pass]e[0m
e[32m--- Running IR pass [fc_fuse_pass]e[0m
e[32m--- Running IR pass [repeated_fc_relu_fuse_pass]e[0m
e[32m--- Running IR pass [squared_mat_sub_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0811 17:45:01.807351 12404 fuse_pass_base.cc:57] --- detected 33 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_eltwiseadd_bn_fuse_pass]e[0m
I0811 17:45:01.814328 12404 fuse_pass_base.cc:57] --- detected 1 subgraphs
e[32m--- Running IR pass [is_test_pass]e[0m
e[32m--- Running IR pass [runtime_context_cache_pass]e[0m
e[1me[35m--- Running analysis [ir_params_sync_among_devices_pass]e[0m
e[1me[35m--- Running analysis [adjust_cudnn_workspace_size_pass]e[0m
e[1me[35m--- Running analysis [inference_op_replace_pass]e[0m
e[1me[35m--- Running analysis [memory_optimize_pass]e[0m
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : conv2d_185.tmp_0 size: 1382400
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : batch_norm_31.tmp_3 size: 29491200
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : relu_2.tmp_0 size: 29491200
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : conv2d_182.tmp_0 size: 22118400
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : x size: 11059200
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : conv2d_186.tmp_0 size: 5529600
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : batch_norm_28.tmp_3 size: 7372800
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : elementwise_add_4 size: 576000
I0811 17:45:01.821305 12404 memory_optimize_pass.cc:216] Cluster name : conv2d_183.tmp_0 size: 86400
e[1me[35m--- Running analysis [ir_graph_to_program_pass]e[0m
I0811 17:45:01.860175 12404 analysis_predictor.cc:717] ======= optimize end =======
I0811 17:45:01.861171 12404 naive_executor.cc:98] --- skip [feed], feed -> x
I0811 17:45:01.862169 12404 naive_executor.cc:98] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
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