2025-07-01 06:48:22,133 INFO log will be stored in /home/zhutao/horizon_j6/model/hb_compile.log
2025-07-01 06:48:22,134 INFO Start hb_compile...
2025-07-01 06:48:22,134 INFO hbdk version: 4.1.17
2025-07-01 06:48:22,134 INFO hmct version: 2.1.9
2025-07-01 06:48:22,134 INFO hb_compile version: 3.3.11
2025-07-01 06:48:22,134 INFO Start verifying yaml
2025-07-01 06:48:22,391 INFO Using onnx model file: /home/zhutao/horizon_j6/model/bev_fushion/onnx/nv12/onnx_v3_1_nv12.onnx
2025-07-01 06:48:22,392 INFO Model has 3 inputs according to model file
2025-07-01 06:48:22,392 INFO Input shape [6, 270336] has length: 2, make sure it is a featuremap input
2025-07-01 06:48:22,392 INFO Input shape [40000, 4] has length: 2, make sure it is a featuremap input
2025-07-01 06:48:22,392 WARNING Input shape is not four-dimensional, input_layout_train should be featuremap
2025-07-01 06:48:22,392 WARNING Input shape is not four-dimensional, input_layout_train should be featuremap
2025-07-01 06:48:22,392 WARNING norm_type parameter is deprecated and will be determined by the configuration of mean/scale/std parameter
2025-07-01 06:48:22,392 WARNING Input node img_nv12's input_source not set, it will be set to None by default
2025-07-01 06:48:22,392 WARNING Input node feature's input_source not set, it will be set to None by default
2025-07-01 06:48:22,392 WARNING Input node onnx::Gather_3's input_source not set, it will be set to None by default
2025-07-01 06:48:22,392 INFO Parameter compile_mode is set to latency, balance_factor will set to 100.
2025-07-01 06:48:22,392 INFO End verifying yaml
2025-07-01 06:48:22,393 INFO Processing calibration set data for input[img_nv12]
2025-07-01 06:48:22,393 INFO *******************************************
2025-07-01 06:48:22,393 INFO First calibration picture name: /home/zhutao/horizon_j6/model/data/export/nv12/img/frame_000000_img_nv12.npy
2025-07-01 06:48:22,405 INFO First calibration picture md5: e15ff4cf1ac130419763a8f394f8b680
2025-07-01 06:48:22,406 INFO *******************************************
2025-07-01 06:48:22,463 INFO Finished. data num: 10
2025-07-01 06:48:22,463 INFO Processing calibration set data for input[feature]
2025-07-01 06:48:22,463 INFO *******************************************
2025-07-01 06:48:22,463 INFO First calibration picture name: /home/zhutao/horizon_j6/model/data/export/nv12/feature/frame_000000_feature.npy
2025-07-01 06:48:22,522 INFO First calibration picture md5: 82852e7c6039bf7d1360375813c4b501
2025-07-01 06:48:22,522 INFO *******************************************
2025-07-01 06:48:22,776 INFO Finished. data num: 10
2025-07-01 06:48:22,776 INFO Processing calibration set data for input[onnx::Gather_3]
2025-07-01 06:48:22,776 INFO *******************************************
2025-07-01 06:48:22,776 INFO First calibration picture name: /home/zhutao/horizon_j6/model/data/export/nv12/coors/frame_000000_gather.npy
2025-07-01 06:48:22,778 INFO First calibration picture md5: 779a0f2a6a8e31be78dd02d64fddca9a
2025-07-01 06:48:22,778 INFO *******************************************
2025-07-01 06:48:22,872 INFO Finished. data num: 10
2025-07-01 06:48:22,941 INFO Start to Horizon NN Model Convert.
2025-07-01 06:48:23,107 INFO Loading horizon_nn debug methods: {'dump_calibration_data'}.
2025-07-01 06:48:23,107 INFO The specified model compilation architecture: nash.
2025-07-01 06:48:23,107 INFO The specified model compilation optimization parameters: [].
2025-07-01 06:48:23,117 INFO Start to prepare the onnx model.
2025-07-01 06:48:23,148 INFO Input ONNX Model Information:
ONNX IR version:          8
Opset version:            ['ai.onnx v16', 'horizon v1']
Producer:                 pytorch v1.12.1
Domain:                   None
Version:                  None
Graph input:
    img_nv12:             shape=[6, 270336], dtype=FLOAT32
    feature:              shape=[1, 10, 20, 40000], dtype=FLOAT32
    ...Gather_3:          shape=[40000, 4], dtype=INT32
Graph output:
    reg_0:                shape=[1, 2, 120, 180], dtype=FLOAT32
    height_0:             shape=[1, 1, 120, 180], dtype=FLOAT32
    dim_0:                shape=[1, 3, 120, 180], dtype=FLOAT32
    rot_0:                shape=[1, 2, 120, 180], dtype=FLOAT32
    vel_0:                shape=[1, 2, 120, 180], dtype=FLOAT32
    hm_0:                 shape=[1, 1, 120, 180], dtype=FLOAT32
    reg_1:                shape=[1, 2, 120, 180], dtype=FLOAT32
    height_1:             shape=[1, 1, 120, 180], dtype=FLOAT32
    dim_1:                shape=[1, 3, 120, 180], dtype=FLOAT32
    rot_1:                shape=[1, 2, 120, 180], dtype=FLOAT32
    vel_1:                shape=[1, 2, 120, 180], dtype=FLOAT32
    hm_1:                 shape=[1, 1, 120, 180], dtype=FLOAT32
    reg_2:                shape=[1, 2, 120, 180], dtype=FLOAT32
    height_2:             shape=[1, 1, 120, 180], dtype=FLOAT32
    dim_2:                shape=[1, 3, 120, 180], dtype=FLOAT32
    rot_2:                shape=[1, 2, 120, 180], dtype=FLOAT32
    vel_2:                shape=[1, 2, 120, 180], dtype=FLOAT32
    hm_2:                 shape=[1, 1, 120, 180], dtype=FLOAT32
    reg_3:                shape=[1, 2, 120, 180], dtype=FLOAT32
    height_3:             shape=[1, 1, 120, 180], dtype=FLOAT32
    dim_3:                shape=[1, 3, 120, 180], dtype=FLOAT32
    rot_3:                shape=[1, 2, 120, 180], dtype=FLOAT32
    vel_3:                shape=[1, 2, 120, 180], dtype=FLOAT32
    hm_3:                 shape=[1, 1, 120, 180], dtype=FLOAT32
    reg_4:                shape=[1, 2, 120, 180], dtype=FLOAT32
    height_4:             shape=[1, 1, 120, 180], dtype=FLOAT32
    dim_4:                shape=[1, 3, 120, 180], dtype=FLOAT32
    rot_4:                shape=[1, 2, 120, 180], dtype=FLOAT32
    vel_4:                shape=[1, 2, 120, 180], dtype=FLOAT32
    hm_4:                 shape=[1, 1, 120, 180], dtype=FLOAT32
2025-07-01 06:48:23,779 INFO The original model's opset version is 16, try converting to opset 19.
2025-07-01 06:48:24,428 INFO End to prepare the onnx model.
2025-07-01 06:48:24,715 INFO Saving model to: /home/zhutao/horizon_j6/model/bev_fushion/hbm/onnx_v3_1_nv12/onnx_v3_1_nv12_original_float_model.onnx.
2025-07-01 06:48:24,715 INFO Start to optimize the onnx model.
2025-07-01 06:48:28,063 INFO End to optimize the onnx model.
2025-07-01 06:48:28,363 INFO Saving model to: /home/zhutao/horizon_j6/model/bev_fushion/hbm/onnx_v3_1_nv12/onnx_v3_1_nv12_optimized_float_model.onnx.
2025-07-01 06:48:28,364 INFO The weight calibration parameters:
    bias_correction:      {'num_sample': 1, 'metric': 'mse'}
The layerwise search parameters:
    metric:               mse
All nodes in the model are set to datatype: int8
2025-07-01 06:48:28,364 INFO Start to calibrate the model.
Warning: The input0 of Node(name:ScatterND_76, type:ScatterND) does not support data type: int8
Warning: The input2 of Node(name:ScatterND_76, type:ScatterND) does not support data type: int8
Warning: The input1 of Node(name:GridSample_308, type:GridSample) does not support data type: int8
Warning: The input1 of Node(name:GridSample_312, type:GridSample) does not support data type: int8
Warning: The input1 of Node(name:GridSample_316, type:GridSample) does not support data type: int8
Warning: The input1 of Node(name:GridSample_320, type:GridSample) does not support data type: int8
Warning: The input1 of Node(name:GridSample_324, type:GridSample) does not support data type: int8
Warning: The input1 of Node(name:GridSample_328, type:GridSample) does not support data type: int8
2025-07-01 06:48:28,979 INFO There are 10 samples in the dataset.
2025-07-01 06:48:29,417 INFO Provided calibration data md5: 99fa22c99b845d1cc5f12ca00bdce7ca
2025-07-01 06:48:29,417 INFO Run calibration model with layerwise search method.
2025-07-01 06:48:29,870 INFO Calibration using batch 1
calibration in progress: 100%|██████████████████████████████████████████████████████████████████████| 10/10 [01:39<00:00,  9.98s/it]
2025-07-01 06:50:29,234 INFO Calculate all sensitivity nodes with max calibration method using mse metric.
2025-07-01 06:50:29,332 INFO Start calculating activation sensitivity...
2025-07-01 06:50:30,586 INFO There are 1 samples in the dataset.
Progress:   0%|                                                                                             | 0/143 [00:00<?, ?it/s]2025-07-01 06:50:33,590 INFO There are 1 samples in the dataset.
Progress:   1%|▌                                                                                    | 1/143 [00:02<05:48,  2.45s/it]2025-07-01 06:50:36,044 INFO There are 1 samples in the dataset.
Progress:   1%|█▏                                                                                   | 2/143 [00:04<05:44,  2.44s/it]2025-07-01 06:50:38,587 INFO There are 1 samples in the dataset.
Progress:   2%|█▊                                                                                   | 3/143 [00:07<05:49,  2.50s/it]2025-07-01 06:50:41,045 INFO There are 1 samples in the dataset.
Progress:   3%|██▍                                                                                  | 4/143 [00:10<05:53,  2.54s/it]2025-07-01 06:50:43,631 INFO There are 1 samples in the dataset.
Progress:   3%|██▉                                                                                  | 5/143 [00:12<05:42,  2.48s/it]2025-07-01 06:50:46,016 INFO There are 1 samples in the dataset.
Progress:   4%|███▌                                                                                 | 6/143 [00:14<05:40,  2.48s/it]2025-07-01 06:50:48,623 INFO There are 1 samples in the dataset.
Progress:   5%|████▏                                                                                | 7/143 [00:17<05:49,  2.57s/it]2025-07-01 06:50:51,280 INFO There are 1 samples in the dataset.
Progress:   6%|████▊                                                                                | 8/143 [00:20<05:49,  2.59s/it]2025-07-01 06:50:53,905 INFO There are 1 samples in the dataset.
Progress:   6%|█████▎                                                                               | 9/143 [00:22<05:49,  2.60s/it]2025-07-01 06:50:56,527 INFO There are 1 samples in the dataset.
Progress:   7%|█████▊                                                                              | 10/143 [00:25<05:48,  2.62s/it]2025-07-01 06:50:59,318 INFO There are 1 samples in the dataset.
Progress:   8%|██████▍                                                                             | 11/143 [00:28<05:43,  2.60s/it]2025-07-01 06:51:01,758 INFO There are 1 samples in the dataset.
Progress:   8%|███████                                                                             | 12/143 [00:31<05:56,  2.72s/it]2025-07-01 06:51:04,801 INFO There are 1 samples in the dataset.
Progress:   9%|███████▋                                                                            | 13/143 [00:34<06:10,  2.85s/it]2025-07-01 06:51:07,964 INFO There are 1 samples in the dataset.
Progress:  10%|████████▏                                                                           | 14/143 [00:37<06:17,  2.93s/it]2025-07-01 06:51:11,085 INFO There are 1 samples in the dataset.
Progress:  10%|████████▊                                                                           | 15/143 [00:40<06:21,  2.98s/it]2025-07-01 06:51:14,257 INFO There are 1 samples in the dataset.
Progress:  11%|█████████▍                                                                          | 16/143 [00:43<06:26,  3.04s/it]2025-07-01 06:51:17,358 INFO There are 1 samples in the dataset.
Progress:  12%|█████████▉                                                                          | 17/143 [00:46<06:25,  3.06s/it]2025-07-01 06:51:20,460 INFO There are 1 samples in the dataset.
Progress:  13%|██████████▌                                                                         | 18/143 [00:49<06:16,  3.01s/it]2025-07-01 06:51:23,337 INFO There are 1 samples in the dataset.
Progress:  13%|███████████▏                                                                        | 19/143 [00:52<06:15,  3.03s/it]2025-07-01 06:51:26,525 INFO There are 1 samples in the dataset.
Progress:  14%|███████████▋                                                                        | 20/143 [00:55<06:19,  3.08s/it]2025-07-01 06:51:29,652 INFO There are 1 samples in the dataset.
Progress:  15%|████████████▎                                                                       | 21/143 [00:59<06:15,  3.08s/it]2025-07-01 06:51:32,678 INFO There are 1 samples in the dataset.
Progress:  15%|████████████▉                                                                       | 22/143 [01:02<06:12,  3.08s/it]2025-07-01 06:51:35,793 INFO There are 1 samples in the dataset.
Progress:  16%|█████████████▌                                                                      | 23/143 [01:05<06:05,  3.04s/it]2025-07-01 06:51:38,843 INFO There are 1 samples in the dataset.
Progress:  17%|██████████████                                                                      | 24/143 [01:08<05:57,  3.01s/it]2025-07-01 06:51:41,672 INFO There are 1 samples in the dataset.
Progress:  17%|██████████████▋                                                                     | 25/143 [01:10<05:48,  2.95s/it]2025-07-01 06:51:44,466 INFO There are 1 samples in the dataset.
Progress:  18%|███████████████▎                                                                    | 26/143 [01:13<05:41,  2.92s/it]2025-07-01 06:51:47,319 INFO There are 1 samples in the dataset.
Progress:  19%|███████████████▊                                                                    | 27/143 [01:16<05:34,  2.88s/it]2025-07-01 06:51:50,213 INFO There are 1 samples in the dataset.
Progress:  20%|████████████████▍                                                                   | 28/143 [01:19<05:38,  2.94s/it]2025-07-01 06:51:53,203 INFO There are 1 samples in the dataset.
Progress:  20%|█████████████████                                                                   | 29/143 [01:22<05:39,  2.98s/it]2025-07-01 06:51:56,278 INFO There are 1 samples in the dataset.
Progress:  21%|█████████████████▌                                                                  | 30/143 [01:25<05:40,  3.02s/it]2025-07-01 06:51:59,372 INFO There are 1 samples in the dataset.
Progress:  22%|██████████████████▏                                                                 | 31/143 [01:28<05:36,  3.01s/it]2025-07-01 06:52:02,480 INFO There are 1 samples in the dataset.
Progress:  22%|██████████████████▊                                                                 | 32/143 [01:31<05:39,  3.06s/it]2025-07-01 06:52:05,534 INFO There are 1 samples in the dataset.
Progress:  23%|███████████████████▍                                                                | 33/143 [01:34<05:31,  3.01s/it]2025-07-01 06:52:08,441 INFO There are 1 samples in the dataset.
Progress:  24%|███████████████████▉                                                                | 34/143 [01:37<05:29,  3.03s/it]2025-07-01 06:52:11,497 INFO There are 1 samples in the dataset.
Progress:  24%|████████████████████▌                                                               | 35/143 [01:40<05:26,  3.02s/it]2025-07-01 06:52:14,626 INFO There are 1 samples in the dataset.
Progress:  25%|█████████████████████▏                                                              | 36/143 [01:43<05:19,  2.99s/it]2025-07-01 06:52:17,417 INFO There are 1 samples in the dataset.
Progress:  26%|█████████████████████▋                                                              | 37/143 [01:46<05:14,  2.96s/it]2025-07-01 06:52:20,316 INFO There are 1 samples in the dataset.
Progress:  27%|██████████████████████▎                                                             | 38/143 [01:49<05:14,  2.99s/it]2025-07-01 06:52:23,378 INFO There are 1 samples in the dataset.
Progress:  27%|██████████████████████▉                                                             | 39/143 [01:52<05:09,  2.98s/it]2025-07-01 06:52:26,435 INFO There are 1 samples in the dataset.
Progress:  28%|███████████████████████▍                                                            | 40/143 [01:55<05:10,  3.01s/it]2025-07-01 06:52:29,411 INFO There are 1 samples in the dataset.
Progress:  29%|████████████████████████                                                            | 41/143 [01:58<05:09,  3.03s/it]2025-07-01 06:52:32,509 INFO There are 1 samples in the dataset.
Progress:  29%|████████████████████████▋                                                           | 42/143 [02:01<04:59,  2.96s/it]2025-07-01 06:52:35,296 INFO There are 1 samples in the dataset.
Progress:  30%|█████████████████████████▎                                                          | 43/143 [02:04<04:57,  2.97s/it]2025-07-01 06:52:38,409 INFO There are 1 samples in the dataset.
Progress:  31%|█████████████████████████▊                                                          | 44/143 [02:07<04:56,  3.00s/it]2025-07-01 06:52:41,350 INFO There are 1 samples in the dataset.
Progress:  31%|██████████████████████████▍                                                         | 45/143 [02:10<04:49,  2.96s/it]2025-07-01 06:52:44,226 INFO There are 1 samples in the dataset.
Progress:  32%|███████████████████████████                                                         | 46/143 [02:13<04:51,  3.00s/it]2025-07-01 06:52:47,315 INFO There are 1 samples in the dataset.
Progress:  33%|███████████████████████████▌                                                        | 47/143 [02:16<04:47,  3.00s/it]2025-07-01 06:52:50,420 INFO There are 1 samples in the dataset.
Progress:  34%|████████████████████████████▏                                                       | 48/143 [02:19<04:43,  2.98s/it]2025-07-01 06:52:53,264 INFO There are 1 samples in the dataset.
Progress:  34%|████████████████████████████▊                                                       | 49/143 [02:22<04:40,  2.98s/it]2025-07-01 06:52:56,217 INFO There are 1 samples in the dataset.
Progress:  35%|█████████████████████████████▎                                                      | 50/143 [02:25<04:39,  3.01s/it]2025-07-01 06:52:59,315 INFO There are 1 samples in the dataset.
Progress:  36%|█████████████████████████████▉                                                      | 51/143 [02:28<04:38,  3.03s/it]2025-07-01 06:53:02,485 INFO There are 1 samples in the dataset.
Progress:  36%|██████████████████████████████▌                                                     | 52/143 [02:31<04:32,  3.00s/it]2025-07-01 06:53:05,298 INFO There are 1 samples in the dataset.
Progress:  37%|███████████████████████████████▏                                                    | 53/143 [02:34<04:28,  2.99s/it]2025-07-01 06:53:08,283 INFO There are 1 samples in the dataset.
Progress:  38%|███████████████████████████████▋                                                    | 54/143 [02:37<04:26,  2.99s/it]2025-07-01 06:53:11,272 INFO There are 1 samples in the dataset.
Progress:  38%|████████████████████████████████▎                                                   | 55/143 [02:40<04:25,  3.02s/it]2025-07-01 06:53:14,462 INFO There are 1 samples in the dataset.
Progress:  39%|████████████████████████████████▉                                                   | 56/143 [02:43<04:23,  3.03s/it]2025-07-01 06:53:17,395 INFO There are 1 samples in the dataset.
Progress:  40%|█████████████████████████████████▍                                                  | 57/143 [02:46<04:18,  3.00s/it]2025-07-01 06:53:20,336 INFO There are 1 samples in the dataset.
Progress:  41%|██████████████████████████████████                                                  | 58/143 [02:49<04:17,  3.04s/it]2025-07-01 06:53:23,439 INFO There are 1 samples in the dataset.
Progress:  41%|██████████████████████████████████▋                                                 | 59/143 [02:52<04:14,  3.03s/it]2025-07-01 06:53:26,467 INFO There are 1 samples in the dataset.
Progress:  42%|███████████████████████████████████▏                                                | 60/143 [02:55<04:10,  3.02s/it]2025-07-01 06:53:29,577 INFO There are 1 samples in the dataset.
Progress:  43%|███████████████████████████████████▊                                                | 61/143 [02:58<04:06,  3.01s/it]2025-07-01 06:53:32,452 INFO There are 1 samples in the dataset.
Progress:  43%|████████████████████████████████████▍                                               | 62/143 [03:01<04:04,  3.02s/it]2025-07-01 06:53:35,509 INFO There are 1 samples in the dataset.
Progress:  44%|█████████████████████████████████████                                               | 63/143 [03:04<03:59,  2.99s/it]2025-07-01 06:53:38,431 INFO There are 1 samples in the dataset.
Progress:  45%|█████████████████████████████████████▌                                              | 64/143 [03:07<03:54,  2.96s/it]2025-07-01 06:53:41,445 INFO There are 1 samples in the dataset.
Progress:  45%|██████████████████████████████████████▏                                             | 65/143 [03:10<03:57,  3.05s/it]2025-07-01 06:53:44,574 INFO There are 1 samples in the dataset.
Progress:  46%|██████████████████████████████████████▊                                             | 66/143 [03:13<03:48,  2.97s/it]2025-07-01 06:53:47,365 INFO There are 1 samples in the dataset.
Progress:  47%|███████████████████████████████████████▎                                            | 67/143 [03:16<03:40,  2.90s/it]2025-07-01 06:53:50,109 INFO There are 1 samples in the dataset.
Progress:  48%|███████████████████████████████████████▉                                            | 68/143 [03:19<03:41,  2.95s/it]2025-07-01 06:53:53,256 INFO There are 1 samples in the dataset.
Progress:  48%|████████████████████████████████████████▌                                           | 69/143 [03:22<03:42,  3.01s/it]2025-07-01 06:53:56,322 INFO There are 1 samples in the dataset.
Progress:  49%|█████████████████████████████████████████                                           | 70/143 [03:25<03:40,  3.02s/it]2025-07-01 06:53:59,377 INFO There are 1 samples in the dataset.
Progress:  50%|█████████████████████████████████████████▋                                          | 71/143 [03:28<03:38,  3.03s/it]2025-07-01 06:54:02,398 INFO There are 1 samples in the dataset.
Progress:  50%|██████████████████████████████████████████▎                                         | 72/143 [03:31<03:34,  3.02s/it]2025-07-01 06:54:05,513 INFO There are 1 samples in the dataset.
Progress:  51%|██████████████████████████████████████████▉                                         | 73/143 [03:34<03:32,  3.04s/it]2025-07-01 06:54:08,528 INFO There are 1 samples in the dataset.
Progress:  52%|███████████████████████████████████████████▍                                        | 74/143 [03:37<03:30,  3.05s/it]2025-07-01 06:54:11,560 INFO There are 1 samples in the dataset.
Progress:  52%|████████████████████████████████████████████                                        | 75/143 [03:40<03:27,  3.06s/it]2025-07-01 06:54:14,642 INFO There are 1 samples in the dataset.
Progress:  53%|████████████████████████████████████████████▋                                       | 76/143 [03:43<03:20,  3.00s/it]2025-07-01 06:54:17,587 INFO There are 1 samples in the dataset.
Progress:  54%|█████████████████████████████████████████████▏                                      | 77/143 [03:46<03:20,  3.03s/it]2025-07-01 06:54:20,616 INFO There are 1 samples in the dataset.
Progress:  55%|█████████████████████████████████████████████▊                                      | 78/143 [03:49<03:16,  3.03s/it]2025-07-01 06:54:23,634 INFO There are 1 samples in the dataset.
Progress:  55%|██████████████████████████████████████████████▍                                     | 79/143 [03:52<03:12,  3.01s/it]2025-07-01 06:54:26,597 INFO There are 1 samples in the dataset.
Progress:  56%|██████████████████████████████████████████████▉                                     | 80/143 [03:55<03:06,  2.95s/it]2025-07-01 06:54:29,547 INFO There are 1 samples in the dataset.
Progress:  57%|███████████████████████████████████████████████▌                                    | 81/143 [03:58<03:06,  3.00s/it]2025-07-01 06:54:32,548 INFO There are 1 samples in the dataset.
Progress:  57%|████████████████████████████████████████████████▏                                   | 82/143 [04:01<03:03,  3.00s/it]2025-07-01 06:54:35,570 INFO There are 1 samples in the dataset.
Progress:  58%|████████████████████████████████████████████████▊                                   | 83/143 [04:05<03:02,  3.04s/it]2025-07-01 06:54:38,702 INFO There are 1 samples in the dataset.
Progress:  59%|█████████████████████████████████████████████████▎                                  | 84/143 [04:08<02:59,  3.05s/it]2025-07-01 06:54:41,853 INFO There are 1 samples in the dataset.
Progress:  59%|█████████████████████████████████████████████████▉                                  | 85/143 [04:11<02:56,  3.04s/it]2025-07-01 06:54:44,757 INFO There are 1 samples in the dataset.
Progress:  60%|██████████████████████████████████████████████████▌                                 | 86/143 [04:14<02:50,  3.00s/it]2025-07-01 06:54:47,682 INFO There are 1 samples in the dataset.
Progress:  61%|███████████████████████████████████████████████████                                 | 87/143 [04:17<02:49,  3.03s/it]2025-07-01 06:54:50,781 INFO There are 1 samples in the dataset.
Progress:  62%|███████████████████████████████████████████████████▋                                | 88/143 [04:19<02:43,  2.96s/it]2025-07-01 06:54:53,673 INFO There are 1 samples in the dataset.
Progress:  62%|████████████████████████████████████████████████████▎                               | 89/143 [04:23<02:43,  3.03s/it]2025-07-01 06:54:56,749 INFO There are 1 samples in the dataset.
Progress:  63%|████████████████████████████████████████████████████▊                               | 90/143 [04:25<02:36,  2.96s/it]2025-07-01 06:54:59,541 INFO There are 1 samples in the dataset.
Progress:  64%|█████████████████████████████████████████████████████▍                              | 91/143 [04:28<02:31,  2.92s/it]2025-07-01 06:55:02,353 INFO There are 1 samples in the dataset.
Progress:  64%|██████████████████████████████████████████████████████                              | 92/143 [04:31<02:28,  2.90s/it]2025-07-01 06:55:05,345 INFO There are 1 samples in the dataset.
Progress:  65%|██████████████████████████████████████████████████████▋                             | 93/143 [04:34<02:28,  2.97s/it]2025-07-01 06:55:08,350 INFO There are 1 samples in the dataset.
Progress:  66%|███████████████████████████████████████████████████████▏                            | 94/143 [04:37<02:26,  2.99s/it]2025-07-01 06:55:11,395 INFO There are 1 samples in the dataset.
Progress:  66%|███████████████████████████████████████████████████████▊                            | 95/143 [04:40<02:21,  2.95s/it]2025-07-01 06:55:14,265 INFO There are 1 samples in the dataset.
Progress:  67%|████████████████████████████████████████████████████████▍                           | 96/143 [04:43<02:16,  2.90s/it]2025-07-01 06:55:17,149 INFO There are 1 samples in the dataset.
Progress:  68%|████████████████████████████████████████████████████████▉                           | 97/143 [04:46<02:13,  2.91s/it]2025-07-01 06:55:20,000 INFO There are 1 samples in the dataset.
Progress:  69%|█████████████████████████████████████████████████████████▌                          | 98/143 [04:49<02:12,  2.95s/it]2025-07-01 06:55:23,041 INFO There are 1 samples in the dataset.
Progress:  69%|██████████████████████████████████████████████████████████▏                         | 99/143 [04:52<02:10,  2.96s/it]2025-07-01 06:55:26,016 INFO There are 1 samples in the dataset.
Progress:  70%|██████████████████████████████████████████████████████████                         | 100/143 [04:55<02:08,  2.99s/it]2025-07-01 06:55:29,061 INFO There are 1 samples in the dataset.
Progress:  71%|██████████████████████████████████████████████████████████▌                        | 101/143 [04:58<02:05,  2.99s/it]2025-07-01 06:55:32,178 INFO There are 1 samples in the dataset.
Progress:  71%|███████████████████████████████████████████████████████████▏                       | 102/143 [05:01<02:04,  3.04s/it]2025-07-01 06:55:35,229 INFO There are 1 samples in the dataset.
Progress:  72%|███████████████████████████████████████████████████████████▊                       | 103/143 [05:04<01:59,  2.98s/it]2025-07-01 06:55:38,056 INFO There are 1 samples in the dataset.
Progress:  73%|████████████████████████████████████████████████████████████▎                      | 104/143 [05:07<01:57,  3.00s/it]2025-07-01 06:55:41,115 INFO There are 1 samples in the dataset.
Progress:  73%|████████████████████████████████████████████████████████████▉                      | 105/143 [05:10<01:54,  3.01s/it]2025-07-01 06:55:44,243 INFO There are 1 samples in the dataset.
Progress:  74%|█████████████████████████████████████████████████████████████▌                     | 106/143 [05:13<01:52,  3.03s/it]2025-07-01 06:55:47,236 INFO There are 1 samples in the dataset.
Progress:  75%|██████████████████████████████████████████████████████████████                     | 107/143 [05:16<01:47,  3.00s/it]2025-07-01 06:55:50,156 INFO There are 1 samples in the dataset.
Progress:  76%|██████████████████████████████████████████████████████████████▋                    | 108/143 [05:19<01:43,  2.96s/it]2025-07-01 06:55:53,012 INFO There are 1 samples in the dataset.
Progress:  76%|███████████████████████████████████████████████████████████████▎                   | 109/143 [05:22<01:41,  2.98s/it]2025-07-01 06:55:56,164 INFO There are 1 samples in the dataset.
Progress:  77%|███████████████████████████████████████████████████████████████▊                   | 110/143 [05:25<01:39,  3.03s/it]2025-07-01 06:55:59,187 INFO There are 1 samples in the dataset.
Progress:  78%|████████████████████████████████████████████████████████████████▍                  | 111/143 [05:28<01:37,  3.03s/it]2025-07-01 06:56:02,223 INFO There are 1 samples in the dataset.
Progress:  78%|█████████████████████████████████████████████████████████████████                  | 112/143 [05:31<01:32,  2.97s/it]2025-07-01 06:56:05,045 INFO There are 1 samples in the dataset.
Progress:  79%|█████████████████████████████████████████████████████████████████▌                 | 113/143 [05:34<01:28,  2.93s/it]2025-07-01 06:56:08,014 INFO There are 1 samples in the dataset.
Progress:  80%|██████████████████████████████████████████████████████████████████▏                | 114/143 [05:37<01:27,  3.01s/it]2025-07-01 06:56:11,079 INFO There are 1 samples in the dataset.
Progress:  80%|██████████████████████████████████████████████████████████████████▋                | 115/143 [05:40<01:23,  2.99s/it]2025-07-01 06:56:14,043 INFO There are 1 samples in the dataset.
Progress:  81%|███████████████████████████████████████████████████████████████████▎               | 116/143 [05:43<01:20,  2.99s/it]2025-07-01 06:56:17,039 INFO There are 1 samples in the dataset.
Progress:  82%|███████████████████████████████████████████████████████████████████▉               | 117/143 [05:46<01:18,  3.01s/it]2025-07-01 06:56:20,188 INFO There are 1 samples in the dataset.
Progress:  83%|████████████████████████████████████████████████████████████████████▍              | 118/143 [05:49<01:16,  3.06s/it]2025-07-01 06:56:23,248 INFO There are 1 samples in the dataset.
Progress:  83%|█████████████████████████████████████████████████████████████████████              | 119/143 [05:52<01:11,  2.96s/it]2025-07-01 06:56:25,997 INFO There are 1 samples in the dataset.
Progress:  84%|█████████████████████████████████████████████████████████████████████▋             | 120/143 [05:55<01:08,  2.96s/it]2025-07-01 06:56:28,956 INFO There are 1 samples in the dataset.
Progress:  85%|██████████████████████████████████████████████████████████████████████▏            | 121/143 [05:58<01:04,  2.95s/it]2025-07-01 06:56:32,001 INFO There are 1 samples in the dataset.
Progress:  85%|██████████████████████████████████████████████████████████████████████▊            | 122/143 [06:01<01:03,  3.00s/it]2025-07-01 06:56:34,992 INFO There are 1 samples in the dataset.
Progress:  86%|███████████████████████████████████████████████████████████████████████▍           | 123/143 [06:04<01:00,  3.02s/it]2025-07-01 06:56:38,062 INFO There are 1 samples in the dataset.
Progress:  87%|███████████████████████████████████████████████████████████████████████▉           | 124/143 [06:07<00:57,  3.05s/it]2025-07-01 06:56:41,179 INFO There are 1 samples in the dataset.
Progress:  87%|████████████████████████████████████████████████████████████████████████▌          | 125/143 [06:10<00:54,  3.04s/it]2025-07-01 06:56:44,305 INFO There are 1 samples in the dataset.
Progress:  88%|█████████████████████████████████████████████████████████████████████████▏         | 126/143 [06:13<00:52,  3.08s/it]2025-07-01 06:56:47,373 INFO There are 1 samples in the dataset.
Progress:  89%|█████████████████████████████████████████████████████████████████████████▋         | 127/143 [06:16<00:48,  3.06s/it]2025-07-01 06:56:50,389 INFO There are 1 samples in the dataset.
Progress:  90%|██████████████████████████████████████████████████████████████████████████▎        | 128/143 [06:19<00:45,  3.00s/it]2025-07-01 06:56:53,241 INFO There are 1 samples in the dataset.
Progress:  90%|██████████████████████████████████████████████████████████████████████████▊        | 129/143 [06:22<00:41,  3.00s/it]2025-07-01 06:56:56,367 INFO There are 1 samples in the dataset.
Progress:  91%|███████████████████████████████████████████████████████████████████████████▍       | 130/143 [06:25<00:39,  3.04s/it]2025-07-01 06:56:59,376 INFO There are 1 samples in the dataset.
Progress:  92%|████████████████████████████████████████████████████████████████████████████       | 131/143 [06:28<00:36,  3.04s/it]2025-07-01 06:57:02,420 INFO There are 1 samples in the dataset.
Progress:  92%|████████████████████████████████████████████████████████████████████████████▌      | 132/143 [06:31<00:33,  3.04s/it]2025-07-01 06:57:05,453 INFO There are 1 samples in the dataset.
Progress:  93%|█████████████████████████████████████████████████████████████████████████████▏     | 133/143 [06:34<00:29,  2.98s/it]2025-07-01 06:57:08,420 INFO There are 1 samples in the dataset.
Progress:  94%|█████████████████████████████████████████████████████████████████████████████▊     | 134/143 [06:37<00:27,  3.04s/it]2025-07-01 06:57:11,492 INFO There are 1 samples in the dataset.
Progress:  94%|██████████████████████████████████████████████████████████████████████████████▎    | 135/143 [06:40<00:24,  3.04s/it]2025-07-01 06:57:14,520 INFO There are 1 samples in the dataset.
Progress:  95%|██████████████████████████████████████████████████████████████████████████████▉    | 136/143 [06:43<00:20,  3.00s/it]2025-07-01 06:57:17,413 INFO There are 1 samples in the dataset.
Progress:  96%|███████████████████████████████████████████████████████████████████████████████▌   | 137/143 [06:46<00:17,  3.00s/it]2025-07-01 06:57:20,533 INFO There are 1 samples in the dataset.
Progress:  97%|████████████████████████████████████████████████████████████████████████████████   | 138/143 [06:50<00:15,  3.09s/it]2025-07-01 06:57:23,721 INFO There are 1 samples in the dataset.
Progress:  97%|████████████████████████████████████████████████████████████████████████████████▋  | 139/143 [06:53<00:12,  3.11s/it]2025-07-01 06:57:26,875 INFO There are 1 samples in the dataset.
Progress:  98%|█████████████████████████████████████████████████████████████████████████████████▎ | 140/143 [06:56<00:09,  3.08s/it]2025-07-01 06:57:29,904 INFO There are 1 samples in the dataset.
Progress:  99%|█████████████████████████████████████████████████████████████████████████████████▊ | 141/143 [06:59<00:05,  3.00s/it]2025-07-01 06:57:32,725 INFO There are 1 samples in the dataset.
Progress:  99%|██████████████████████████████████████████████████████████████████████████████████▍| 142/143 [07:01<00:02,  2.95s/it]2025-07-01 06:57:35,628 INFO There are 1 samples in the dataset.
Progress: 100%|███████████████████████████████████████████████████████████████████████████████████| 143/143 [07:04<00:00,  2.97s/it]
2025-07-01 06:57:38,064 INFO Calculate top12 sensitivity nodes with max-percentile:percentile=0.99995 calibration method using mse metric.
2025-07-01 06:57:38,223 INFO Start calculating activation sensitivity...
2025-07-01 06:57:38,545 INFO Interested_nodes is given, only calculate sensitivity for these nodes, no matter what node_type is specified.
2025-07-01 06:57:39,503 INFO There are 1 samples in the dataset.
Progress:   0%|                                                                                              | 0/12 [00:00<?, ?it/s]2025-07-01 06:57:42,963 INFO There are 1 samples in the dataset.
Progress:   8%|███████▏                                                                              | 1/12 [00:03<00:33,  3.08s/it]2025-07-01 06:57:46,022 INFO There are 1 samples in the dataset.
Progress:  17%|██████████████▎                                                                       | 2/12 [00:06<00:31,  3.11s/it]2025-07-01 06:57:49,148 INFO There are 1 samples in the dataset.
Progress:  25%|█████████████████████▌                                                                | 3/12 [00:09<00:27,  3.07s/it]2025-07-01 06:57:52,180 INFO There are 1 samples in the dataset.
Progress:  33%|████████████████████████████▋                                                         | 4/12 [00:12<00:24,  3.10s/it]2025-07-01 06:57:55,300 INFO There are 1 samples in the dataset.
Progress:  42%|███████████████████████████████████▊                                                  | 5/12 [00:15<00:21,  3.07s/it]2025-07-01 06:57:58,445 INFO There are 1 samples in the dataset.
Progress:  50%|███████████████████████████████████████████                                           | 6/12 [00:18<00:18,  3.10s/it]2025-07-01 06:58:01,501 INFO There are 1 samples in the dataset.
Progress:  58%|██████████████████████████████████████████████████▏                                   | 7/12 [00:21<00:15,  3.00s/it]2025-07-01 06:58:04,303 INFO There are 1 samples in the dataset.
Progress:  67%|█████████████████████████████████████████████████████████▎                            | 8/12 [00:24<00:12,  3.05s/it]2025-07-01 06:58:07,435 INFO There are 1 samples in the dataset.
Progress:  75%|████████████████████████████████████████████████████████████████▌                     | 9/12 [00:27<00:09,  3.01s/it]2025-07-01 06:58:10,469 INFO There are 1 samples in the dataset.
Progress:  83%|██████████████████████████████████████████████████████████████████████▊              | 10/12 [00:30<00:06,  3.03s/it]2025-07-01 06:58:13,436 INFO There are 1 samples in the dataset.
Progress:  92%|█████████████████████████████████████████████████████████████████████████████▉       | 11/12 [00:33<00:03,  3.00s/it]2025-07-01 06:58:16,390 INFO There are 1 samples in the dataset.
Progress: 100%|█████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:36<00:00,  3.04s/it]
2025-07-01 06:58:19,001 INFO Calculate top12 sensitivity nodes with kl:num_bin=1024,max_num_bin=16384 calibration method using mse metric.
2025-07-01 06:58:19,166 INFO Start calculating activation sensitivity...
2025-07-01 06:58:19,495 INFO Interested_nodes is given, only calculate sensitivity for these nodes, no matter what node_type is specified.
2025-07-01 06:58:20,433 INFO There are 1 samples in the dataset.
Progress:   0%|                                                                                              | 0/12 [00:00<?, ?it/s]2025-07-01 06:58:23,850 INFO There are 1 samples in the dataset.
Progress:   8%|███████▏                                                                              | 1/12 [00:03<00:33,  3.06s/it]2025-07-01 06:58:26,980 INFO There are 1 samples in the dataset.
Progress:  17%|██████████████▎                                                                       | 2/12 [00:06<00:30,  3.04s/it]2025-07-01 06:58:30,022 INFO There are 1 samples in the dataset.
Progress:  25%|█████████████████████▌                                                                | 3/12 [00:09<00:27,  3.04s/it]2025-07-01 06:58:33,170 INFO There are 1 samples in the dataset.
Progress:  33%|████████████████████████████▋                                                         | 4/12 [00:12<00:24,  3.02s/it]2025-07-01 06:58:36,061 INFO There are 1 samples in the dataset.
Progress:  42%|███████████████████████████████████▊                                                  | 5/12 [00:15<00:21,  3.08s/it]2025-07-01 06:58:39,199 INFO There are 1 samples in the dataset.
Progress:  50%|███████████████████████████████████████████                                           | 6/12 [00:18<00:18,  3.00s/it]2025-07-01 06:58:42,074 INFO There are 1 samples in the dataset.
Progress:  58%|██████████████████████████████████████████████████▏                                   | 7/12 [00:21<00:14,  2.96s/it]2025-07-01 06:58:45,055 INFO There are 1 samples in the dataset.
Progress:  67%|█████████████████████████████████████████████████████████▎                            | 8/12 [00:24<00:12,  3.05s/it]2025-07-01 06:58:48,225 INFO There are 1 samples in the dataset.
Progress:  75%|████████████████████████████████████████████████████████████████▌                     | 9/12 [00:27<00:09,  3.08s/it]2025-07-01 06:58:51,339 INFO There are 1 samples in the dataset.
Progress:  83%|██████████████████████████████████████████████████████████████████████▊              | 10/12 [00:30<00:06,  3.08s/it]2025-07-01 06:58:54,417 INFO There are 1 samples in the dataset.
Progress:  92%|█████████████████████████████████████████████████████████████████████████████▉       | 11/12 [00:33<00:03,  3.07s/it]2025-07-01 06:58:57,585 INFO There are 1 samples in the dataset.
Progress: 100%|█████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:36<00:00,  3.07s/it]
2025-07-01 06:59:00,237 INFO Topk is not set by the user, select top-12 nodes with cosine-similarity less than 0.999 to merge multi calibration methods.
2025-07-01 06:59:00,238 INFO ===========================================Merge_Info(mse)===========================================
Node                           max               percentile=0.99995  num_bin=1024,max_num_bin=16384  
-----------------------------------------------------------------------------------------------------
onnx::Conv_1299_HzCalibration  2.310416          0.254177(select)    1.829793                        
onnx::Conv_1302_HzCalibration  2.128967          0.024116(select)    0.043005                        
feature_HzCalibration          0.704248          0.085724(select)    0.191542                        
onnx::Conv_1311_HzCalibration  0.232155          0.004941(select)    0.032698                        
onnx::Conv_1308_HzCalibration  0.079473          0.002760(select)    0.009260                        
onnx::Conv_1397_HzCalibration  0.026322(select)  0.030011            0.390293                        
onnx::Conv_1314_HzCalibration  0.044198          0.004653(select)    0.029291                        
onnx::Conv_1305_HzCalibration  0.047441          0.027636            0.007993(select)                
img_nv12_HzCalibration         0.007676          0.007676            0.006018(select)                
input_HzCalibration            0.007775          0.007775            0.005537(select)                
onnx::Conv_1320_HzCalibration  0.010218          0.000967(select)    0.010787                        
onnx::Conv_1317_HzCalibration  0.009370          0.003063(select)    0.043661
2025-07-01 06:59:26,968 INFO Select max-percentile:percentile=0.99995 method.
2025-07-01 06:59:28,343 INFO Run calibration model with bias correction method with bias samples: 1.
2025-07-01 06:59:28,484 INFO There are 1 samples in the dataset.
bias correction in progress: 153it [18:43,  7.34s/it]
2025-07-01 07:18:17,591 INFO There are 1 samples in the dataset.
2025-07-01 07:18:33,725 INFO ==================Bias_Correction_Info(mse)==================
Node        Before-Bias-Correlation  After-Bias-Correlation  
-------------------------------------------------------------
output      0.877155                 2.387400
2025-07-01 07:18:35,390 INFO There are 1 samples in the dataset.
Testing:   0%|                                                                                                | 0/2 [00:00<?, ?it/s]2025-07-01 07:18:39,623 INFO There are 1 samples in the dataset.
Testing:  50%|████████████████████████████████████████████                                            | 1/2 [00:09<00:09,  9.32s/it]2025-07-01 07:18:48,875 INFO There are 1 samples in the dataset.
Testing: 100%|████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:18<00:00,  9.22s/it]
2025-07-01 07:18:58,038 INFO There are 1 samples in the dataset.
Testing:   0%|                                                                                                | 0/2 [00:00<?, ?it/s]2025-07-01 07:19:02,173 INFO There are 1 samples in the dataset.
Testing:  50%|████████████████████████████████████████████                                            | 1/2 [00:43<00:43, 43.33s/it]2025-07-01 07:19:45,502 INFO There are 1 samples in the dataset.
Testing: 100%|████████████████████████████████████████████████████████████████████████████████████████| 2/2 [01:25<00:00, 42.52s/it]
2025-07-01 07:20:26,242 INFO Result has been saved as ./bias_correction/conv_accumulate_err_of_qmodel_mean-diff-error.png
2025-07-01 07:20:27,129 INFO End to calibrate the model.
2025-07-01 07:20:27,386 INFO Saving model to: /home/zhutao/horizon_j6/model/bev_fushion/hbm/onnx_v3_1_nv12/onnx_v3_1_nv12_calibrated_model.onnx.
2025-07-01 07:20:27,386 INFO Start to precompile the model.
2025-07-01 07:20:28,775 INFO End to precompile the model.
2025-07-01 07:20:29,494 INFO Saving model to: /home/zhutao/horizon_j6/model/bev_fushion/hbm/onnx_v3_1_nv12/onnx_v3_1_nv12_ptq_model.onnx.
2025-07-01 07:20:53,820 INFO End to Horizon NN Model Convert.
2025-07-01 07:20:53,820 INFO Start to export model.
2025-07-01 07:20:56,182 INFO Successful export model.
2025-07-01 07:20:56,322 INFO Start to convert model.
2025-07-01 07:20:59,417 INFO Successful convert model.
2025-07-01 07:20:59,434 INFO check params start
2025-07-01 07:21:01,262 INFO check params end
2025-07-01 07:21:01,265 INFO onnx_v3_1_nv12_optimized_float_model inference...
2025-07-01 07:21:04,060 INFO onnx_v3_1_nv12_quantized_model inference...
2025-07-01 07:22:11,013 WARNING [img_feat] Different shape, skip this tensor calculation.model shape: (6, 64, 16, 44) vs (16, 6, 64, 44)
2025-07-01 07:22:11,027 WARNING [onnx::Gather_1272] Different shape, skip this tensor calculation.model shape: (1, 6, 64, 128, 44) vs (1, 6, 44, 64, 128)
2025-07-01 07:22:11,474 INFO node MaxPool_54 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,475 INFO node Squeeze_55 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,475 INFO node Transpose_56 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,475 INFO node Gather_58 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,475 INFO node Gather_60 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,475 INFO node Gather_62 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,476 INFO node Mul_66 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,476 INFO node Cast_69 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,476 INFO node Unsqueeze_73 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,476 INFO node ScatterND_76 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,477 INFO node Reshape_78 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,477 INFO node Transpose_79 is not Add, Clip or Relu and has no thresholds
2025-07-01 07:22:11,507 INFO +--------------------------------+------------+------+-----------+-------------------+------------------+------------------+
2025-07-01 07:22:11,507 INFO | Node                           | NodeType   | ON   | Threshold | Calibrated Cosine | Quantized Cosine | Output Data Type |
2025-07-01 07:22:11,507 INFO +--------------------------------+------------+------+-----------+-------------------+------------------+------------------+
2025-07-01 07:22:11,507 INFO | Slice_7                        | Slice      | BPU  | 255.0     | 0.999971          | 0.999971         | si8              |
2025-07-01 07:22:11,507 INFO | Reshape_8                      | Reshape    | BPU  | 255.0     | 0.999971          | 0.999971         | si8              |
2025-07-01 07:22:11,507 INFO | Slice_13                       | Slice      | BPU  | 255.0     | 0.999985          | 0.999985         | si8              |
2025-07-01 07:22:11,507 INFO | Slice_18                       | Slice      | BPU  | 255.0     | 1.000016          | 1.00002          | si8              |
2025-07-01 07:22:11,507 INFO | Slice_23                       | Slice      | BPU  | 255.0     | 1.000015          | 1.00002          | si8              |
2025-07-01 07:22:11,507 INFO | Reshape_24                     | Reshape    | BPU  | 255.0     | 1.000016          | 1.00002          | si8              |
2025-07-01 07:22:11,507 INFO | Reshape_25                     | Reshape    | BPU  | 255.0     | 1.000015          | 1.00002          | si8              |
2025-07-01 07:22:11,507 INFO | Resize_32                      | Resize     | BPU  | 255.0     | 1.000005          | 1                | si8              |
2025-07-01 07:22:11,507 INFO | Resize_39                      | Resize     | BPU  | 255.0     | 1.000021          | 1.00002          | si8              |
2025-07-01 07:22:11,507 INFO | Concat_43                      | Concat     | BPU  | 255.0     | 1.000110          | 1.00011          | si8              |
2025-07-01 07:22:11,507 INFO | Conv_44+Clip_45                | Conv+Clip  | BPU  | 255.0     | 0.999891          | 0.99989          | si8              |
2025-07-01 07:22:11,507 INFO | Div_47_mul                     | Mul        | BPU  | 255.0     | 0.999900          | 0.999899         | si8              |
2025-07-01 07:22:11,507 INFO | Sub_49                         | Sub        | BPU  | 1.0       | 0.999601          | 0.999592         | si8              |
2025-07-01 07:22:11,508 INFO | Div_51_mul                     | Mul        | BPU  | 0.594     | 0.999580          | 0.999571         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_52+Relu_53                | Conv+Relu  | BPU  | 65.0      | 0.942970          | 0.942867         | si32             |
2025-07-01 07:22:11,508 INFO | MaxPool_54                     | MaxPool    | CPU  | --        | 0.907796          | 0.907157         | f32              |
2025-07-01 07:22:11,508 INFO | Squeeze_55                     | Reshape    | BPU  | --        | 0.907796          | 0.907157         | f32              |
2025-07-01 07:22:11,508 INFO | Transpose_56                   | Transpose  | --   | --        | 0.907775          | --               | --               |
2025-07-01 07:22:11,508 INFO | Gather_58                      | Gather     | BPU  | --        | 1.000000          | 1.0              | si32             |
2025-07-01 07:22:11,508 INFO | Gather_60                      | Gather     | BPU  | --        | 1.000000          | 1                | si32             |
2025-07-01 07:22:11,508 INFO | Gather_62                      | Gather     | BPU  | --        | 1.000000          | 1                | si32             |
2025-07-01 07:22:11,508 INFO | Mul_66                         | Mul        | CPU  | --        | 1.000000          | -4.56559e-06     | si32             |
2025-07-01 07:22:11,508 INFO | Add_68                         | Add        | CPU  | --        | 1.000000          | -5.09035e-06     | si32             |
2025-07-01 07:22:11,508 INFO | Cast_69                        | Cast       | --   | --        | 1.000000          | --               | --               |
2025-07-01 07:22:11,508 INFO | Unsqueeze_73                   | Reshape    | BPU  | --        | 1.000000          | 1                | si32             |
2025-07-01 07:22:11,508 INFO | ScatterND_76                   | ScatterND  | CPU  | --        | 0.902012          | 0.901283         | si8              |
2025-07-01 07:22:11,508 INFO | Reshape_78                     | Reshape    | --   | --        | 0.902012          | --               | --               |
2025-07-01 07:22:11,508 INFO | Transpose_79                   | Transpose  | BPU  | --        | 0.894308          | 0.892531         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_80+Relu_81                | Conv+Relu  | BPU  | 2.64      | 0.999984          | 0.999972         | si8              |
2025-07-01 07:22:11,508 INFO | MaxPool_82                     | MaxPool    | BPU  | 2.299067  | 0.999561          | 0.999553         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_83+Relu_84                | Conv+Relu  | BPU  | 2.299067  | 0.999083          | 0.999075         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_85+Relu_86                | Conv+Relu  | BPU  | 1.064248  | 0.999310          | 0.999301         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_87                        | Conv       | BPU  | 1.270357  | 0.998347          | 0.998328         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_88                        | Conv       | BPU  | 2.299067  | 0.998769          | --               | si32             |
2025-07-01 07:22:11,508 INFO | Relu_90                        | Relu       | BPU  | --        | 0.997521          | 0.997486         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_91+Relu_92                | Conv+Relu  | BPU  | 1.253006  | 0.996869          | 0.996857         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_93+Relu_94                | Conv+Relu  | BPU  | 0.991183  | 0.994579          | 0.994565         | si8              |
2025-07-01 07:22:11,508 INFO | Relu_97                        | Relu       | BPU  | --        | 0.996573          | 0.996543         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_98+Relu_99                | Conv+Relu  | BPU  | 1.275788  | 0.992999          | 0.992976         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_100+Relu_101              | Conv+Relu  | BPU  | 0.852137  | 0.985486          | 0.985444         | si8              |
2025-07-01 07:22:11,508 INFO | Relu_104                       | Relu       | BPU  | --        | 0.995174          | 0.995145         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_105+Relu_106              | Conv+Relu  | BPU  | 1.281387  | 0.987345          | 0.987306         | si8              |
2025-07-01 07:22:11,508 INFO | Conv_107+Relu_108              | Conv+Relu  | BPU  | 0.998485  | 0.993410          | 0.993393         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_109                       | Conv       | BPU  | 1.10283   | 0.989537          | 0.989508         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_110                       | Conv       | BPU  | 1.281387  | 0.987914          | --               | si32             |
2025-07-01 07:22:11,509 INFO | Relu_112                       | Relu       | BPU  | --        | 0.992002          | 0.991909         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_113+Relu_114              | Conv+Relu  | BPU  | 1.382239  | 0.994267          | 0.994089         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_115+Relu_116              | Conv+Relu  | BPU  | 0.606958  | 0.985660          | 0.985413         | si8              |
2025-07-01 07:22:11,509 INFO | Relu_119                       | Relu       | BPU  | --        | 0.989130          | 0.989032         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_120+Relu_121              | Conv+Relu  | BPU  | 1.502223  | 0.984175          | 0.984076         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_122+Relu_123              | Conv+Relu  | BPU  | 0.851849  | 0.978956          | 0.978887         | si8              |
2025-07-01 07:22:11,509 INFO | Relu_126                       | Relu       | BPU  | --        | 0.982418          | 0.982328         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_127+Relu_128              | Conv+Relu  | BPU  | 1.579443  | 0.987565          | 0.987511         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_129+Relu_130              | Conv+Relu  | BPU  | 0.969366  | 0.987852          | 0.987781         | si8              |
2025-07-01 07:22:11,509 INFO | Relu_133                       | Relu       | BPU  | --        | 0.981932          | 0.981834         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_134+Relu_135              | Conv+Relu  | BPU  | 1.615718  | 0.970532          | 0.970421         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_136+Relu_137              | Conv+Relu  | BPU  | 1.45545   | 0.987852          | 0.987811         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_138                       | Conv       | BPU  | 1.042833  | 0.978787          | 0.978715         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_139                       | Conv       | BPU  | 1.615718  | 0.980837          | --               | si32             |
2025-07-01 07:22:11,509 INFO | Relu_141                       | Relu       | BPU  | --        | 0.983285          | 0.983188         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_142+Relu_143              | Conv+Relu  | BPU  | 1.40266   | 0.982418          | 0.982352         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_144+Relu_145              | Conv+Relu  | BPU  | 0.937539  | 0.983234          | 0.983228         | si8              |
2025-07-01 07:22:11,509 INFO | Relu_148                       | Relu       | BPU  | --        | 0.982863          | 0.982783         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_149+Relu_150              | Conv+Relu  | BPU  | 1.589255  | 0.988175          | 0.988094         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_151+Relu_152              | Conv+Relu  | BPU  | 0.910266  | 0.989597          | 0.98951          | si8              |
2025-07-01 07:22:11,509 INFO | Relu_155                       | Relu       | BPU  | --        | 0.982263          | 0.982179         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_156+Relu_157              | Conv+Relu  | BPU  | 1.504607  | 0.986908          | 0.986879         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_158+Relu_159              | Conv+Relu  | BPU  | 0.994644  | 0.988902          | 0.988876         | si8              |
2025-07-01 07:22:11,509 INFO | Relu_162                       | Relu       | BPU  | --        | 0.980960          | 0.980871         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_163+Relu_164              | Conv+Relu  | BPU  | 1.646656  | 0.986045          | 0.985972         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_165+Relu_166              | Conv+Relu  | BPU  | 0.901824  | 0.988711          | 0.988618         | si8              |
2025-07-01 07:22:11,509 INFO | Relu_169                       | Relu       | BPU  | --        | 0.978756          | 0.978652         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_170+Relu_171              | Conv+Relu  | BPU  | 1.84217   | 0.983293          | 0.983133         | si8              |
2025-07-01 07:22:11,509 INFO | Conv_172+Relu_173              | Conv+Relu  | BPU  | 1.121003  | 0.988575          | 0.988424         | si8              |
2025-07-01 07:22:11,510 INFO | Relu_176                       | Relu       | BPU  | --        | 0.976890          | 0.976774         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_177+Relu_178              | Conv+Relu  | BPU  | 1.360049  | 0.970293          | 0.970078         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_179+Relu_180              | Conv+Relu  | BPU  | 0.996051  | 0.979216          | 0.979044         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_181                       | Conv       | BPU  | 0.951304  | 0.974741          | 0.974502         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_182                       | Conv       | BPU  | 1.360049  | 0.976584          | --               | si32             |
2025-07-01 07:22:11,510 INFO | Relu_184                       | Relu       | BPU  | --        | 0.973639          | 0.973412         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_185+Relu_186              | Conv+Relu  | BPU  | 2.461152  | 0.976150          | 0.975902         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_187+Relu_188              | Conv+Relu  | BPU  | 0.799047  | 0.982912          | 0.982732         | si8              |
2025-07-01 07:22:11,510 INFO | Relu_191                       | Relu       | BPU  | --        | 0.978045          | 0.977824         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_192+Relu_193              | Conv+Relu  | BPU  | 3.059511  | 0.968981          | 0.968268         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_194+Relu_195              | Conv+Relu  | BPU  | 0.566623  | 0.987206          | 0.986918         | si8              |
2025-07-01 07:22:11,510 INFO | Relu_198                       | Relu       | BPU  | --        | 0.978618          | 0.978236         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_200                       | Conv       | BPU  | 5.036656  | 0.965917          | 0.965509         | si8              |
2025-07-01 07:22:11,510 INFO | Resize_219                     | Resize     | BPU  | 7.106928  | 0.965922          | 0.965515         | si8              |
2025-07-01 07:22:11,510 INFO | Conv_199+Add_220               | Conv+Add   | CPU  | 1.360049  | 0.970000          | --               | si8              |
2025-07-01 07:22:11,510 INFO | Conv_221                       | Conv       | BPU  | 8.394132  | 0.973292          | --               | si8              |
2025-07-01 07:22:11,510 INFO | Transpose_277                  | Transpose  | --   | 4.970014  | 0.973297          | --               | --               |
2025-07-01 07:22:11,510 INFO | Reshape_281                    | Reshape    | --   | 4.970014  | 0.973297          | --               | --               |
2025-07-01 07:22:11,510 INFO | Gemm_282_transpose_in          | Transpose  | BPU  | 4.970014  | 0.973293          | 0.973023         | si8              |
2025-07-01 07:22:11,510 INFO | Gemm_282+Relu_283              | Conv+Relu  | BPU  | 4.970014  | 0.970240          | 0.969972         | si8              |
2025-07-01 07:22:11,510 INFO | Gemm_284+Relu_285              | Conv+Relu  | BPU  | 2.405337  | 0.968738          | 0.96817          | si8              |
2025-07-01 07:22:11,510 INFO | Relu_285_x.3_reshape_Transpose | Transpose  | --   | 11.938711 | 0.968740          | --               | --               |
2025-07-01 07:22:11,510 INFO | Relu_285x.3_Reshape_0          | Reshape    | --   | 11.938711 | 0.968740          | --               | --               |
2025-07-01 07:22:11,510 INFO | Transpose_294                  | Transpose  | --   | 11.938711 | 0.968733          | --               | --               |
2025-07-01 07:22:11,510 INFO | Reshape_304                    | Reshape    | BPU  | 11.938711 | 0.968733          | --               | si8              |
2025-07-01 07:22:11,510 INFO | Gather_306                     | Gather     | BPU  | 11.938711 | 0.958287          | 0.956218         | si8              |
2025-07-01 07:22:11,510 INFO | GridSample_308                 | GridSample | NULL | 11.938711 | 0.962737          | 0.960464         | si8              |
2025-07-01 07:22:11,510 INFO | Gather_310                     | Gather     | BPU  | 11.938711 | 0.953511          | 0.956852         | si8              |
2025-07-01 07:22:11,510 INFO | GridSample_312                 | GridSample | NULL | 11.938711 | 0.953525          | 0.955661         | si8              |
2025-07-01 07:22:11,510 INFO | Gather_314                     | Gather     | BPU  | 11.938711 | 0.981064          | 0.979966         | si8              |
2025-07-01 07:22:11,510 INFO | GridSample_316                 | GridSample | NULL | 11.938711 | 0.982352          | 0.979792         | si8              |
2025-07-01 07:22:11,510 INFO | Gather_318                     | Gather     | BPU  | 11.938711 | 0.958064          | 0.956061         | si8              |
2025-07-01 07:22:11,510 INFO | GridSample_320                 | GridSample | NULL | 11.938711 | 0.961110          | 0.95951          | si8              |
2025-07-01 07:22:11,511 INFO | Gather_322                     | Gather     | BPU  | 11.938711 | 0.983043          | 0.983184         | si8              |
2025-07-01 07:22:11,511 INFO | GridSample_324                 | GridSample | NULL | 11.938711 | 0.982361          | 0.980658         | si8              |
2025-07-01 07:22:11,511 INFO | Gather_326                     | Gather     | BPU  | 11.938711 | 0.965460          | 0.965363         | si8              |
2025-07-01 07:22:11,511 INFO | GridSample_328                 | GridSample | NULL | 11.938711 | 0.966258          | 0.963999         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_329+Relu_330              | Conv+Relu  | BPU  | 6.107159  | 0.956930          | 0.956389         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_331+Relu_332              | Conv+Relu  | BPU  | 9.537098  | 0.924836          | 0.923433         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_333+Relu_334              | Conv+Relu  | BPU  | 9.242578  | 0.892798          | 0.891244         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_335+Relu_336              | Conv+Relu  | BPU  | 9.967669  | 0.875627          | 0.874155         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_337+Relu_338              | Conv+Relu  | BPU  | 9.419573  | 0.876448          | 0.874832         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_339+Relu_340              | Conv+Relu  | BPU  | 9.228672  | 0.893261          | 0.891798         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_341+Relu_342              | Conv+Relu  | BPU  | 9.655631  | 0.881415          | 0.879998         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_343+Relu_344              | Conv+Relu  | BPU  | 9.924458  | 0.873275          | 0.872139         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_345+Relu_346              | Conv+Relu  | BPU  | 7.26306   | 0.861036          | 0.859842         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_347+Relu_348              | Conv+Relu  | BPU  | 6.597275  | 0.868095          | 0.866724         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_349+Relu_350              | Conv+Relu  | BPU  | 6.578267  | 0.870909          | 0.869641         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_351+Relu_352              | Conv+Relu  | BPU  | 6.521591  | 0.855028          | 0.85401          | si8              |
2025-07-01 07:22:11,511 INFO | Concat_353                     | Concat     | BPU  | 11.938711 | 0.878950          | 0.878032         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_354+Relu_355              | Conv+Relu  | BPU  | 5.315772  | 0.861740          | 0.860981         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_356+Relu_357              | Conv+Relu  | BPU  | 3.592947  | 0.893415          | 0.893338         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_358+Relu_359              | Conv+Relu  | BPU  | 6.383307  | 0.917845          | 0.918018         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_360+Relu_361              | Conv+Relu  | BPU  | 5.459272  | 0.916822          | 0.917221         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_362+Relu_363              | Conv+Relu  | BPU  | 6.519259  | 0.917899          | 0.918438         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_364+Relu_365              | Conv+Relu  | BPU  | 7.197597  | 0.860813          | 0.862128         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_366+Relu_367              | Conv+Relu  | BPU  | 6.387931  | 0.836543          | 0.837948         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_368+Relu_369              | Conv+Relu  | BPU  | 6.201914  | 0.839985          | 0.840933         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_370+Relu_371              | Conv+Relu  | BPU  | 6.791421  | 0.841807          | 0.842679         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_372+Relu_373              | Conv+Relu  | BPU  | 6.464026  | 0.843122          | 0.843764         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_374+Relu_375              | Conv+Relu  | BPU  | 6.992383  | 0.863868          | 0.864286         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_376+Relu_377              | Conv+Relu  | BPU  | 8.694448  | 0.844085          | 0.84427          | si8              |
2025-07-01 07:22:11,511 INFO | Conv_378+Relu_379              | Conv+Relu  | BPU  | 5.00881   | 0.836294          | 0.836305         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_380+Relu_381              | Conv+Relu  | BPU  | 4.127456  | 0.822117          | 0.821839         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_382+Relu_383              | Conv+Relu  | BPU  | 3.574259  | 0.804577          | 0.804107         | si8              |
2025-07-01 07:22:11,511 INFO | Conv_384+Relu_385              | Conv+Relu  | BPU  | 3.263826  | 0.796761          | 0.796691         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_386+Relu_387              | Conv+Relu  | BPU  | 3.760337  | 0.838391          | 0.838848         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_388+Relu_389              | Conv+Relu  | BPU  | 7.197597  | 0.898696          | 0.899736         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_390+Relu_391              | Conv+Relu  | BPU  | 8.694448  | 0.844059          | 0.844189         | si8              |
2025-07-01 07:22:11,512 INFO | Relu_394                       | Relu       | BPU  | --        | 0.929048          | 0.929152         | si8              |
2025-07-01 07:22:11,512 INFO | Concat_395                     | Concat     | BPU  | 11.072516 | 0.891267          | 0.891724         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_396+Relu_397              | Conv+Relu  | BPU  | 11.072516 | 0.859464          | 0.859695         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_398+Relu_399              | Conv+Relu  | BPU  | 17.673512 | 0.688645          | 0.687907         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_400                       | Conv       | VPU  | 14.708323 | 0.983067          | 0.983043         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_401+Relu_402              | Conv+Relu  | BPU  | 17.673512 | 0.900437          | 0.900807         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_403                       | Conv       | VPU  | 12.435812 | 0.923933          | 0.924755         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_404+Relu_405              | Conv+Relu  | BPU  | 17.673512 | 0.767360          | 0.767072         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_406                       | Conv       | VPU  | 13.790468 | 0.967142          | 0.9671           | f32              |
2025-07-01 07:22:11,512 INFO | Conv_407+Relu_408              | Conv+Relu  | BPU  | 17.673512 | 0.842550          | 0.842385         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_409                       | Conv       | VPU  | 11.545647 | 0.716194          | 0.71624          | f32              |
2025-07-01 07:22:11,512 INFO | Conv_410+Relu_411              | Conv+Relu  | BPU  | 17.673512 | 0.797984          | 0.797949         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_412                       | Conv       | VPU  | 17.197485 | 0.836501          | 0.836203         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_413+Relu_414              | Conv+Relu  | BPU  | 17.673512 | 0.857199          | 0.857652         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_415                       | Conv       | VPU  | 17.442446 | 0.929824          | 0.930405         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_416+Relu_417              | Conv+Relu  | BPU  | 17.673512 | 0.402527          | 0.399934         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_418                       | Conv       | VPU  | 15.666358 | 0.764992          | 0.764627         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_419+Relu_420              | Conv+Relu  | BPU  | 17.673512 | 0.813929          | 0.814697         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_421                       | Conv       | VPU  | 14.380659 | 0.729439          | 0.732598         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_422+Relu_423              | Conv+Relu  | BPU  | 17.673512 | 0.739077          | 0.739146         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_424                       | Conv       | VPU  | 14.299087 | 0.985824          | 0.985865         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_425+Relu_426              | Conv+Relu  | BPU  | 17.673512 | 0.533950          | 0.532348         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_427                       | Conv       | VPU  | 15.401243 | 0.693845          | 0.691169         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_428+Relu_429              | Conv+Relu  | BPU  | 17.673512 | 0.824786          | 0.825621         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_430                       | Conv       | VPU  | 14.638111 | 0.866947          | 0.866666         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_431+Relu_432              | Conv+Relu  | BPU  | 17.673512 | 0.807506          | 0.808565         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_433                       | Conv       | VPU  | 18.103922 | 0.950207          | 0.950852         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_434+Relu_435              | Conv+Relu  | BPU  | 17.673512 | 0.607182          | 0.607377         | si8              |
2025-07-01 07:22:11,512 INFO | Conv_436                       | Conv       | VPU  | 13.776595 | 0.884892          | 0.885021         | f32              |
2025-07-01 07:22:11,512 INFO | Conv_437+Relu_438              | Conv+Relu  | BPU  | 17.673512 | 0.849160          | 0.850427         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_439                       | Conv       | VPU  | 13.18903  | 0.952414          | 0.952754         | f32              |
2025-07-01 07:22:11,513 INFO | Conv_440+Relu_441              | Conv+Relu  | BPU  | 17.673512 | 0.633408          | 0.633213         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_442                       | Conv       | VPU  | 14.802133 | 0.878415          | 0.878483         | f32              |
2025-07-01 07:22:11,513 INFO | Conv_443+Relu_444              | Conv+Relu  | BPU  | 17.673512 | 0.782716          | 0.783216         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_445                       | Conv       | VPU  | 14.611374 | 0.466397          | 0.46654          | f32              |
2025-07-01 07:22:11,513 INFO | Conv_446+Relu_447              | Conv+Relu  | BPU  | 17.673512 | 0.794207          | 0.794434         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_448                       | Conv       | VPU  | 16.378933 | 0.796645          | 0.79692          | f32              |
2025-07-01 07:22:11,513 INFO | Conv_449+Relu_450              | Conv+Relu  | BPU  | 17.673512 | 0.892043          | 0.892739         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_451                       | Conv       | VPU  | 14.970581 | 0.966890          | 0.966877         | f32              |
2025-07-01 07:22:11,513 INFO | Conv_452+Relu_453              | Conv+Relu  | BPU  | 17.673512 | 0.828847          | 0.828609         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_454                       | Conv       | VPU  | 11.097091 | 0.954470          | 0.954387         | f32              |
2025-07-01 07:22:11,513 INFO | Conv_455+Relu_456              | Conv+Relu  | BPU  | 17.673512 | 0.915073          | 0.915647         | si8              |
2025-07-01 07:22:11,513 INFO | Conv_457                       | Conv       | VPU  | 10.189792 | 0.932873          | 0.933271         | f32              |
2025-07-01 07:22:11,519 INFO | Conv_458+Relu_459              | Conv+Relu  | BPU  | 17.673512 | 0.811265          | 0.810837         | si8              |
2025-07-01 07:22:11,519 INFO | Conv_460                       | Conv       | VPU  | 12.972059 | 0.911801          | 0.912305         | f32              |
2025-07-01 07:22:11,519 INFO | Conv_461+Relu_462              | Conv+Relu  | BPU  | 17.673512 | 0.871330          | 0.871754         | si8              |
2025-07-01 07:22:11,519 INFO | Conv_463                       | Conv       | VPU  | 13.284694 | 0.688744          | 0.696232         | f32              |
2025-07-01 07:22:11,519 INFO | Conv_464+Relu_465              | Conv+Relu  | BPU  | 17.673512 | 0.790060          | 0.790731         | si8              |
2025-07-01 07:22:11,519 INFO | Conv_466                       | Conv       | VPU  | 16.449215 | 0.789627          | 0.790816         | f32              |
2025-07-01 07:22:11,519 INFO | Conv_467+Relu_468              | Conv+Relu  | BPU  | 17.673512 | 0.916948          | 0.918478         | si8              |
2025-07-01 07:22:11,520 INFO | Conv_469                       | Conv       | VPU  | 9.807164  | 0.980671          | 0.980753         | f32              |
2025-07-01 07:22:11,520 INFO | Conv_470+Relu_471              | Conv+Relu  | BPU  | 17.673512 | 0.962140          | 0.962088         | si8              |
2025-07-01 07:22:11,520 INFO | Conv_472                       | Conv       | VPU  | 7.20788   | 0.987214          | 0.987186         | f32              |
2025-07-01 07:22:11,520 INFO | Conv_473+Relu_474              | Conv+Relu  | BPU  | 17.673512 | 0.956770          | 0.957388         | si8              |
2025-07-01 07:22:11,520 INFO | Conv_475                       | Conv       | VPU  | 6.365445  | 0.979845          | 0.980335         | f32              |
2025-07-01 07:22:11,520 INFO | Conv_476+Relu_477              | Conv+Relu  | BPU  | 17.673512 | 0.945100          | 0.94527          | si8              |
2025-07-01 07:22:11,520 INFO | Conv_478                       | Conv       | VPU  | 9.277091  | 0.951930          | 0.952489         | f32              |
2025-07-01 07:22:11,520 INFO | Conv_479+Relu_480              | Conv+Relu  | BPU  | 17.673512 | 0.943684          | 0.943792         | si8              |
2025-07-01 07:22:11,520 INFO | Conv_481                       | Conv       | VPU  | 11.426177 | 0.967666          | 0.967795         | f32              |
2025-07-01 07:22:11,520 INFO | Conv_482+Relu_483              | Conv+Relu  | BPU  | 17.673512 | 0.847405          | 0.84793          | si8              |
2025-07-01 07:22:11,520 INFO | Conv_484                       | Conv       | VPU  | 14.834067 | 0.865923          | 0.866654         | f32              |
2025-07-01 07:22:11,520 INFO | Conv_485+Relu_486              | Conv+Relu  | BPU  | 17.673512 | 0.947471          | 0.948675         | si8              |
2025-07-01 07:22:11,520 INFO | Conv_487                       | Conv       | VPU  | 8.359369  | 0.989549          | 0.98982          | f32              |
2025-07-01 07:22:11,520 INFO +--------------------------------+------------+------+-----------+-------------------+------------------+------------------+
2025-07-01 07:22:11,520 INFO +------------+-------------------+------------------+
2025-07-01 07:22:11,520 INFO | TensorName | Calibrated Cosine | Quantized Cosine |
2025-07-01 07:22:11,520 INFO +------------+-------------------+------------------+
2025-07-01 07:22:11,520 INFO | reg_0      | 0.983067          | 0.983043         |
2025-07-01 07:22:11,521 INFO | height_0   | 0.923933          | 0.924755         |
2025-07-01 07:22:11,521 INFO | dim_0      | 0.967142          | 0.9671           |
2025-07-01 07:22:11,521 INFO | rot_0      | 0.716194          | 0.71624          |
2025-07-01 07:22:11,521 INFO | vel_0      | 0.836501          | 0.836203         |
2025-07-01 07:22:11,521 INFO | hm_0       | 0.929824          | 0.930405         |
2025-07-01 07:22:11,521 INFO | reg_1      | 0.764992          | 0.764627         |
2025-07-01 07:22:11,521 INFO | height_1   | 0.729439          | 0.732598         |
2025-07-01 07:22:11,521 INFO | dim_1      | 0.985824          | 0.985865         |
2025-07-01 07:22:11,521 INFO | rot_1      | 0.693845          | 0.691169         |
2025-07-01 07:22:11,521 INFO | vel_1      | 0.866947          | 0.866666         |
2025-07-01 07:22:11,521 INFO | hm_1       | 0.950207          | 0.950852         |
2025-07-01 07:22:11,521 INFO | reg_2      | 0.884892          | 0.885021         |
2025-07-01 07:22:11,521 INFO | height_2   | 0.952414          | 0.952754         |
2025-07-01 07:22:11,521 INFO | dim_2      | 0.878415          | 0.878483         |
2025-07-01 07:22:11,521 INFO | rot_2      | 0.466397          | 0.46654          |
2025-07-01 07:22:11,521 INFO | vel_2      | 0.796645          | 0.79692          |
2025-07-01 07:22:11,521 INFO | hm_2       | 0.966890          | 0.966877         |
2025-07-01 07:22:11,521 INFO | reg_3      | 0.954470          | 0.954387         |
2025-07-01 07:22:11,521 INFO | height_3   | 0.932873          | 0.933271         |
2025-07-01 07:22:11,521 INFO | dim_3      | 0.911801          | 0.912305         |
2025-07-01 07:22:11,521 INFO | rot_3      | 0.688744          | 0.696232         |
2025-07-01 07:22:11,521 INFO | vel_3      | 0.789627          | 0.790816         |
2025-07-01 07:22:11,521 INFO | hm_3       | 0.980671          | 0.980753         |
2025-07-01 07:22:11,521 INFO | reg_4      | 0.987214          | 0.987186         |
2025-07-01 07:22:11,521 INFO | height_4   | 0.979845          | 0.980335         |
2025-07-01 07:22:11,521 INFO | dim_4      | 0.951930          | 0.952489         |
2025-07-01 07:22:11,521 INFO | rot_4      | 0.967666          | 0.967795         |
2025-07-01 07:22:11,521 INFO | vel_4      | 0.865923          | 0.866654         |
2025-07-01 07:22:11,521 INFO | hm_4       | 0.989549          | 0.98982          |
2025-07-01 07:22:11,521 INFO +------------+-------------------+------------------+
2025-07-01 07:22:11,932 INFO Start to compile model.
[==================================================]100%
bash: line 4: 21318 Killed                  hb_compile --config bev_fushion_nv12.yaml