Created by: tianyuluan

Error: op slice does not have kernel for data_type[float]:data_layout[ANY_LAYOUT]:place[CUDAPinnedPlace]:library_type[PLAIN] at (/paddle/paddle/fluid/framework/operator.cc:1090) [operator < slice > error]

整体报错如下：（有点长） /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/ops.py:327 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:145 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:162 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:162 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:164 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:164 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:168 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:168 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:170 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:170 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:219 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:220 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:221 The behavior of expression A + B has been unified with elementwise_add(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_add(X, Y, axis=0) instead of A + B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:222 The behavior of expression A + B has been unified with elementwise_add(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_add(X, Y, axis=0) instead of A + B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:102 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:102 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:104 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:106 The behavior of expression A - B has been unified with elementwise_sub(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_sub(X, Y, axis=0) instead of A - B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:106 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:106 The behavior of expression A + B has been unified with elementwise_add(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_add(X, Y, axis=0) instead of A + B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:107 The behavior of expression A / B has been unified with elementwise_div(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_div(X, Y, axis=0) instead of A / B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/iou_loss.py:84 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:176 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:184 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:370 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:372 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:197 The behavior of expression A + B has been unified with elementwise_add(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_add(X, Y, axis=0) instead of A + B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:198 The behavior of expression A + B has been unified with elementwise_add(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_add(X, Y, axis=0) instead of A + B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py:200 The behavior of expression A + B has been unified with elementwise_add(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_add(X, Y, axis=0) instead of A + B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) 2020-08-06 12:52:01,344-INFO: If regularizer of a Parameter has been set by 'fluid.ParamAttr' or 'fluid.WeightNormParamAttr' already. The Regularization[L2Decay, regularization_coeff=0.000500] in Optimizer will not take effect, and it will only be applied to other Parameters! /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/anchor_heads/iou_aware.py:64 The behavior of expression A * B has been unified with elementwise_mul(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_mul(X, Y, axis=0) instead of A * B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/layers/math_op_patch.py:276: UserWarning: /home/lty/PaddleDetection/ppdet/modeling/anchor_heads/iou_aware.py:40 The behavior of expression A / B has been unified with elementwise_div(X, Y, axis=-1) from Paddle 2.0. If your code works well in the older versions but crashes in this version, try to use elementwise_div(X, Y, axis=0) instead of A / B. This transitional warning will be dropped in the future. op_type, op_type, EXPRESSION_MAP[method_name])) 2020-08-06 12:52:03,376-INFO: places would be ommited when DataLoader is not iterable W0806 12:52:03.421161 6741 device_context.cc:268] Please NOTE: device: 0, CUDA Capability: 75, Driver API Version: 10.1, Runtime API Version: 10.1 W0806 12:52:03.423032 6741 device_context.cc:276] device: 0, cuDNN Version: 7.6. /home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/io.py:2116: UserWarning: This list is not set, Because of Paramerter not found in program. There are: fc_0.b_0 fc_0.w_0 format(" ".join(unused_para_list))) 2020-08-06 12:52:07,029-INFO: places would be ommited when DataLoader is not iterable Traceback (most recent call last): File "tools/train.py", line 368, in main() File "tools/train.py", line 241, in main outs = exe.run(compiled_train_prog, fetch_list=train_values) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1082, in run six.reraise(*sys.exc_info()) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/six.py", line 703, in reraise raise value File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1080, in run return_merged=return_merged) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1195, in _run_impl return_merged=return_merged) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/executor.py", line 893, in _run_parallel tensors = exe.run(fetch_var_names, return_merged)._move_to_list() paddle.fluid.core_avx.EnforceNotMet:

Compile Traceback (most recent call last): File "tools/train.py", line 368, in main() File "tools/train.py", line 114, in main train_fetches = model.train(feed_vars) File "/home/lty/PaddleDetection/ppdet/modeling/architectures/yolo.py", line 159, in train return self.build(feed_vars, mode='train') File "/home/lty/PaddleDetection/ppdet/modeling/architectures/yolo.py", line 85, in build gt_score, targets) File "/home/lty/PaddleDetection/ppdet/modeling/anchor_heads/yolo_head.py", line 401, in get_loss self.prefix_name) File "/home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py", line 69, in call mask_anchors, self._ignore_thresh) File "/home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py", line 143, in _get_fine_grained_loss tx, ty, tw, th, tscale, tobj, tcls = self._split_target(target) File "/home/lty/PaddleDetection/ppdet/modeling/losses/yolo_loss.py", line 292, in _split_target tobj = target[:, :, 5, :, :] File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/framework.py", line 1672, in getitem return getitem_impl(self, item) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/framework.py", line 801, in getitem_impl attrs=attrs) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2803, in append_op attrs=kwargs.get("attrs", None)) File "/home/lty/anaconda3/envs/open-mmlab2/lib/python3.7/site-packages/paddle/fluid/framework.py", line 1917, in init for frame in traceback.extract_stack():

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C++ Traceback (most recent call last):

0 std::thread::_State_impl<std::thread::_Invoker<std::tuple<ThreadPool::ThreadPool(unsigned long)::{lambda()#1}> > >::_M_run() 1 std::__future_base::_State_baseV2::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> ()>, bool) 2 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOp(paddle::framework::details::OpHandleBase*, std::shared_ptr<paddle::framework::BlockingQueue > const&, unsigned long*) 3 paddle::framework::details::FastThreadedSSAGraphExecutor::RunOpSync(paddle::framework::details::OpHandleBase*) 4 paddle::framework::details::ComputationOpHandle::RunImpl() 5 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&) 6 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const 7 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const 8 paddle::framework::OperatorWithKernel::ChooseKernel(paddle::framework::RuntimeContext const&, paddle::framework::Scope const&, paddle::platform::Place const&) const 9 paddle::platform::EnforceNotMet::EnforceNotMet(paddle::platform::ErrorSummary const&, char const*, int) 10 std::string paddle::platform::GetTraceBackString<std::string >(std::string&&, char const*, int)

---

Error Message Summary:

Error: op slice does not have kernel for data_type[float]:data_layout[ANY_LAYOUT]:place[CUDAPinnedPlace]:library_type[PLAIN] at (/paddle/paddle/fluid/framework/operator.cc:1090) [operator < slice >

error]

我的yaml文件如下

architecture: YOLOv3 use_gpu: true max_iters: 10000 log_smooth_window: 10 log_iter: 10 save_dir: output snapshot_iter: 1000 metric: VOC pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar weights: output/ppyolo/model_final num_classes: 3 use_fine_grained_loss: true use_ema: true ema_decay: 0.9998

YOLOv3: backbone: ResNet yolo_head: YOLOv3Head use_fine_grained_loss: true

ResNet: norm_type: sync_bn freeze_at: 0 freeze_norm: false norm_decay: 0. depth: 50 feature_maps: [3, 4, 5] variant: d dcn_v2_stages: [5]

YOLOv3Head: anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]] anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]] norm_decay: 0. coord_conv: true iou_aware: true iou_aware_factor: 0.4 scale_x_y: 1.05 spp: true yolo_loss: YOLOv3Loss nms: MatrixNMS drop_block: true

YOLOv3Loss: batch_size: 8 ignore_thresh: 0.5 scale_x_y: 1.05 label_smooth: false use_fine_grained_loss: true iou_loss: IouLoss iou_aware_loss: IouAwareLoss

IouLoss: loss_weight: 2.5 max_height: 608 max_width: 608

IouAwareLoss: loss_weight: 1.0 max_height: 608 max_width: 608

MatrixNMS: background_label: -1 keep_top_k: 100 normalized: false score_threshold: 0.01 post_threshold: 0.01

LearningRate: base_lr: 0.01 schedulers:

• !PiecewiseDecay gamma: 0.1 milestones:
  • 5000
  • 8000
• !LinearWarmup start_factor: 0. steps: 1000

OptimizerBuilder: optimizer: momentum: 0.9 type: Momentum regularizer: factor: 0.0005 type: L2

TrainReader: inputs_def: fields: ['image', 'gt_bbox', 'gt_class', 'gt_score'] num_max_boxes: 50 dataset: !VOCDataSet #image_dir: train2017 dataset_dir: /home/lty/PaddleDetection/dataset/voc anno_path: trainval.txt with_background: false use_default_label: false sample_transforms: - !DecodeImage to_rgb: True with_mixup: True - !MixupImage alpha: 1.5 beta: 1.5 - !ColorDistort {} - !RandomExpand fill_value: [123.675, 116.28, 103.53] - !RandomCrop {} - !RandomFlipImage is_normalized: false - !NormalizeBox {} - !PadBox num_max_boxes: 50 - !BboxXYXY2XYWH {} batch_transforms:

• !RandomShape sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608] random_inter: True
• !NormalizeImage mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] is_scale: True is_channel_first: false
• !Permute to_bgr: false channel_first: True

Gt2YoloTarget is only used when use_fine_grained_loss set as true,

this operator will be deleted automatically if use_fine_grained_loss

is set as false

• !Gt2YoloTarget anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]] anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]] downsample_ratios: [32, 16, 8] batch_size: 8 shuffle: true mixup_epoch: 25000 drop_last: true worker_num: 4 bufsize: 4 use_process: true

EvalReader: inputs_def: fields: ['image', 'im_size', 'im_id'] num_max_boxes: 50 dataset: !VOCDataSet #image_dir: val2017 anno_path: test.txt dataset_dir: /home/lty/PaddleDetection/dataset/voc with_background: false use_default_label: false sample_transforms: - !DecodeImage to_rgb: True - !ResizeImage target_size: 608 interp: 2 - !NormalizeImage mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] is_scale: True is_channel_first: false - !PadBox num_max_boxes: 50 - !Permute to_bgr: false channel_first: True batch_size: 8 drop_empty: false worker_num: 8 bufsize: 4

TestReader: inputs_def: image_shape: [3, 608, 608] fields: ['image', 'im_size', 'im_id'] dataset: !ImageFolder anno_path: /home/lty/PaddleDetection/dataset/voc/label_list.txt with_background: false use_default_label: false ple_transforms: - !DecodeImage to_rgb: True - !ResizeImage target_size: 608 interp: 2 - !NormalizeImage mean: [0.485, 0.456, 0.406] std: [0.229, 0.224, 0.225] is_scale: True is_channel_first: false - !Permute to_bgr: false channel_first: True batch_size: 1

已经按照您说的安装了develop的版本https://github.com/PaddlePaddle/PaddleDetection/issues/1103#issuecomment-663858241

请问是我数据格式问题还是别的问题？？？