芯片型号：J6
天工开物开发包：J6_OE_3.0.22
问题定位：量化Warning
问题具体描述：
规划算法PLUTO部署工作，
其中attention模块在量化过程中显示张量形状不匹配，跳过该张量的计算。但是量化后的ONNX模型中看着张量形状没问题。
2025-01-02 09:16:43,730 WARNING [/agent_encoder/history_encoder/levels.0/blocks.0/attn/Gather_output_0] Different shape, skip this tensor calculation.model shape: (20, 20, 32) vs (32, 20, 20) 2025-01-02 09:16:43,731 WARNING [/agent_encoder/history_encoder/levels.0/blocks.0/attn/Mul_output_0] Different shape, skip this tensor calculation.model shape: (20, 20, 32) vs (32, 20, 20) 2025-01-02 09:16:43,732 WARNING [/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/Transpose_1_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 32, 20, 20) vs (20, 32, 20, 1) 2025-01-02 09:16:43,732 WARNING [/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/Transpose_2_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 32, 20, 20) vs (20, 32, 20, 1) 2025-01-02 09:16:43,734 WARNING [/agent_encoder/history_encoder/levels.0/blocks.0/attn/attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (40, 20, 16) vs (1, 20, 640) 2025-01-02 09:16:43,739 WARNING [/agent_encoder/history_encoder/levels.0/blocks.1/attn/Gather_output_0] Different shape, skip this tensor calculation.model shape: (20, 20, 32) vs (32, 20, 20) 2025-01-02 09:16:43,739 WARNING [/agent_encoder/history_encoder/levels.0/blocks.1/attn/Mul_output_0] Different shape, skip this tensor calculation.model shape: (20, 20, 32) vs (32, 20, 20) 2025-01-02 09:16:43,740 WARNING [/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/Transpose_1_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 32, 20, 20) vs (20, 32, 20, 1) 2025-01-02 09:16:43,740 WARNING [/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/Transpose_2_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 32, 20, 20) vs (20, 32, 20, 1) 2025-01-02 09:16:43,742 WARNING [/agent_encoder/history_encoder/levels.0/blocks.1/attn/attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (40, 20, 16) vs (1, 20, 640) 2025-01-02 09:16:43,750 WARNING [/agent_encoder/history_encoder/levels.1/blocks.0/attn/Gather_output_0] Different shape, skip this tensor calculation.model shape: (20, 10, 64) vs (64, 20, 10) 2025-01-02 09:16:43,750 WARNING [/agent_encoder/history_encoder/levels.1/blocks.0/attn/Mul_output_0] Different shape, skip this tensor calculation.model shape: (20, 10, 64) vs (64, 20, 10) 2025-01-02 09:16:43,751 WARNING [/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/Transpose_1_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 64, 10, 20) vs (10, 64, 20, 1) 2025-01-02 09:16:43,751 WARNING [/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/Transpose_2_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 64, 10, 20) vs (10, 64, 20, 1) 2025-01-02 09:16:43,753 WARNING [/agent_encoder/history_encoder/levels.1/blocks.0/attn/attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (40, 10, 32) vs (1, 10, 1280) 2025-01-02 09:16:43,758 WARNING [/agent_encoder/history_encoder/levels.1/blocks.1/attn/Gather_output_0] Different shape, skip this tensor calculation.model shape: (20, 10, 64) vs (64, 20, 10) 2025-01-02 09:16:43,758 WARNING [/agent_encoder/history_encoder/levels.1/blocks.1/attn/Mul_output_0] Different shape, skip this tensor calculation.model shape: (20, 10, 64) vs (64, 20, 10) 2025-01-02 09:16:43,759 WARNING [/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/Transpose_1_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 64, 10, 20) vs (10, 64, 20, 1) 2025-01-02 09:16:43,760 WARNING [/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/Transpose_2_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 64, 10, 20) vs (10, 64, 20, 1) 2025-01-02 09:16:43,762 WARNING [/agent_encoder/history_encoder/levels.1/blocks.1/attn/attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (40, 10, 32) vs (1, 10, 1280) 2025-01-02 09:16:43,770 WARNING [/agent_encoder/history_encoder/levels.2/blocks.0/attn/Gather_output_0] Different shape, skip this tensor calculation.model shape: (20, 5, 128) vs (128, 20, 5) 2025-01-02 09:16:43,770 WARNING [/agent_encoder/history_encoder/levels.2/blocks.0/attn/Mul_output_0] Different shape, skip this tensor calculation.model shape: (20, 5, 128) vs (128, 20, 5) 2025-01-02 09:16:43,771 WARNING [/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/Transpose_1_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 128, 5, 20) vs (5, 128, 20, 1) 2025-01-02 09:16:43,771 WARNING [/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/Transpose_2_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 128, 5, 20) vs (5, 128, 20, 1) 2025-01-02 09:16:43,774 WARNING [/agent_encoder/history_encoder/levels.2/blocks.0/attn/attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (40, 5, 64) vs (1, 5, 2560) 2025-01-02 09:16:43,779 WARNING [/agent_encoder/history_encoder/levels.2/blocks.1/attn/Gather_output_0] Different shape, skip this tensor calculation.model shape: (20, 5, 128) vs (128, 20, 5) 2025-01-02 09:16:43,779 WARNING [/agent_encoder/history_encoder/levels.2/blocks.1/attn/Mul_output_0] Different shape, skip this tensor calculation.model shape: (20, 5, 128) vs (128, 20, 5) 2025-01-02 09:16:43,780 WARNING [/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/MatMul_1_/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/Transpose_1_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 128, 5, 20) vs (5, 128, 20, 1) 2025-01-02 09:16:43,781 WARNING [/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/MatMul_2_/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/Transpose_2_output_0_reshape_in_transpose_in] Different shape, skip this tensor calculation.model shape: (1, 128, 5, 20) vs (5, 128, 20, 1) 2025-01-02 09:16:43,783 WARNING [/agent_encoder/history_encoder/levels.2/blocks.1/attn/attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (40, 5, 64) vs (1, 5, 2560) 2025-01-02 09:16:43,790 WARNING [/agent_encoder/history_encoder/Slice_output_0] Different shape, skip this tensor calculation.model shape: (20, 128, 10, 1) vs (1, 10, 128, 20) 2025-01-02 09:16:43,791 WARNING [/agent_encoder/history_encoder/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (20, 128, 20, 1) vs (1, 20, 128, 20) 2025-01-02 09:16:43,794 WARNING [/agent_encoder/ego_state_emb/attn/Slice_4_output_0] Different shape, skip this tensor calculation.model shape: (1, 6, 1, 128) vs (6, 1, 1, 128) 2025-01-02 09:16:43,874 WARNING [/encoder_blocks.0/attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:43,882 WARNING [/encoder_blocks.0/attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (8, 240, 16) vs (1, 240, 128) 2025-01-02 09:16:43,894 WARNING [/encoder_blocks.1/attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:43,903 WARNING [/encoder_blocks.1/attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (8, 240, 16) vs (1, 240, 128) 2025-01-02 09:16:43,913 WARNING [/encoder_blocks.2/attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:43,920 WARNING [/encoder_blocks.2/attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (8, 240, 16) vs (1, 240, 128) 2025-01-02 09:16:43,930 WARNING [/encoder_blocks.3/attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:43,937 WARNING [/encoder_blocks.3/attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (8, 240, 16) vs (1, 240, 128) 2025-01-02 09:16:43,961 WARNING tensor /planning_decoder/Sin_output_0 consine compute error. 2025-01-02 09:16:43,961 WARNING tensor /planning_decoder/Unsqueeze_1_output_0 consine compute error. 2025-01-02 09:16:43,998 WARNING [/planning_decoder/decoder_blocks.0/r2r_attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 6, 12, 128) vs (12, 128, 1, 6) 2025-01-02 09:16:44,001 WARNING [/planning_decoder/decoder_blocks.0/r2r_attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (96, 6, 16) vs (1, 6, 1536) 2025-01-02 09:16:44,012 WARNING [/planning_decoder/decoder_blocks.0/m2m_attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (48, 12, 16) vs (1, 12, 768) 2025-01-02 09:16:44,018 WARNING [/planning_decoder/decoder_blocks.0/cross_attn/Slice_4_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:44,022 WARNING [/planning_decoder/decoder_blocks.0/cross_attn/MatMul_3_output_0] Different shape, skip this tensor calculation.model shape: (8, 72, 16) vs (1, 72, 128) 2025-01-02 09:16:44,032 WARNING [/planning_decoder/decoder_blocks.1/r2r_attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 6, 12, 128) vs (12, 128, 1, 6) 2025-01-02 09:16:44,035 WARNING [/planning_decoder/decoder_blocks.1/r2r_attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (96, 6, 16) vs (1, 6, 1536) 2025-01-02 09:16:44,046 WARNING [/planning_decoder/decoder_blocks.1/m2m_attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (48, 12, 16) vs (1, 12, 768) 2025-01-02 09:16:44,052 WARNING [/planning_decoder/decoder_blocks.1/cross_attn/Slice_4_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:44,056 WARNING [/planning_decoder/decoder_blocks.1/cross_attn/MatMul_3_output_0] Different shape, skip this tensor calculation.model shape: (8, 72, 16) vs (1, 72, 128) 2025-01-02 09:16:44,067 WARNING [/planning_decoder/decoder_blocks.2/r2r_attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 6, 12, 128) vs (12, 128, 1, 6) 2025-01-02 09:16:44,070 WARNING [/planning_decoder/decoder_blocks.2/r2r_attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (96, 6, 16) vs (1, 6, 1536) 2025-01-02 09:16:44,082 WARNING [/planning_decoder/decoder_blocks.2/m2m_attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (48, 12, 16) vs (1, 12, 768) 2025-01-02 09:16:44,088 WARNING [/planning_decoder/decoder_blocks.2/cross_attn/Slice_4_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:44,092 WARNING [/planning_decoder/decoder_blocks.2/cross_attn/MatMul_3_output_0] Different shape, skip this tensor calculation.model shape: (8, 72, 16) vs (1, 72, 128) 2025-01-02 09:16:44,103 WARNING [/planning_decoder/decoder_blocks.3/r2r_attn/Slice_1_output_0] Different shape, skip this tensor calculation.model shape: (1, 6, 12, 128) vs (12, 128, 1, 6) 2025-01-02 09:16:44,107 WARNING [/planning_decoder/decoder_blocks.3/r2r_attn/MatMul_2_output_0] Different shape, skip this tensor calculation.model shape: (96, 6, 16) vs (1, 6, 1536) 2025-01-02 09:16:44,119 WARNING [/planning_decoder/decoder_blocks.3/m2m_attn/MatMul_4_output_0] Different shape, skip this tensor calculation.model shape: (48, 12, 16) vs (1, 12, 768) 2025-01-02 09:16:44,126 WARNING [/planning_decoder/decoder_blocks.3/cross_attn/Slice_4_output_0] Different shape, skip this tensor calculation.model shape: (1, 240, 1, 128) vs (240, 1, 1, 128) 2025-01-02 09:16:44,130 WARNING [/planning_decoder/decoder_blocks.3/cross_attn/MatMul_3_output_0] Different shape, skip this tensor calculation.model shape: (8, 72, 16) vs (1, 72, 128)
'/%3e%3cpath%20d='M8%200.5C12.1421%200.5%2015.5%203.85786%2015.5%208C15.5%2012.1421%2012.1421%2015.5%208%2015.5C3.85786%2015.5%200.5%2012.1421%200.5%208C0.5%203.85786%203.85786%200.5%208%200.5Z'%20fill='url(%23paint1_linear_0_45845)'%20stroke='white'/%3e%3cpath%20d='M10.0597%204.5332C10.031%204.5332%2010.0036%204.54817%209.98859%204.57313L8.09724%207.79442C8.02613%207.90046%207.84897%208.23731%207.5483%208.7875C7.37863%209.0969%207.25387%209.32771%207.17152%209.48615C7.1341%209.55727%207.0293%209.53855%207.01807%209.45871C6.97191%209.11936%206.89456%208.6066%206.78727%207.91793L6.2483%204.61804C6.24207%204.57812%206.20713%204.54942%206.16721%204.54942H4.28085C4.2297%204.54942%204.18977%204.59683%204.201%204.64798L5.71059%2012.1959C5.71808%2012.2346%205.75176%2012.2621%205.79044%2012.2621H7.46845C7.49715%2012.2621%207.52335%2012.2471%207.53832%2012.2234L12.1869%204.65796C12.2205%204.60307%2012.1806%204.5332%2012.117%204.5332H10.0597Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_0_45845'%20x1='8.99711'%20y1='15.3526'%20x2='47.3575'%20y2='15.3526'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23AF86FF'/%3e%3cstop%20offset='1'%20stop-color='%23774EFF'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint1_linear_0_45845'%20x1='1.1152'%20y1='15.1368'%20x2='15.3888'%20y2='15.1368'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23AF86FF'/%3e%3cstop%20offset='1'%20stop-color='%23774EFF'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e)
