Merge branch 'dygraph' into fix_doc

tools/infer/predict_det.py

@@ -180,7 +180,7 @@ class TextDetector(object):
             preds['maps'] = outputs[0]
         else:
             raise NotImplementedError
-
+        self.predictor.try_shrink_memory()
         post_result = self.postprocess_op(preds, shape_list)
         dt_boxes = post_result[0]['points']
         if self.det_algorithm == "SAST" and self.det_sast_polygon:

tools/infer/predict_rec.py

@@ -237,7 +237,7 @@ class TextRecognizer(object):
                     output = output_tensor.copy_to_cpu()
                     outputs.append(output)
                 preds = outputs[0]
-
+            self.predictor.try_shrink_memory()
             rec_result = self.postprocess_op(preds)
             for rno in range(len(rec_result)):
                 rec_res[indices[beg_img_no + rno]] = rec_result[rno]

tools/infer/utility.py

@@ -128,7 +128,8 @@ def create_predictor(args, mode, logger):
             #config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'})
             args.rec_batch_num = 1
 
-    # config.enable_memory_optim()
+    # enable memory optim
+    config.enable_memory_optim()
     config.disable_glog_info()
 
     config.delete_pass("conv_transpose_eltwiseadd_bn_fuse_pass")

tools/program.py

@@ -237,8 +237,9 @@ def train(config,
                     vdl_writer.add_scalar('TRAIN/{}'.format(k), v, global_step)
                 vdl_writer.add_scalar('TRAIN/lr', lr, global_step)
 
-            if dist.get_rank(
-            ) == 0 and global_step > 0 and global_step % print_batch_step == 0:
+            if dist.get_rank() == 0 and (
+                (global_step > 0 and global_step % print_batch_step == 0) or
+                (idx >= len(train_dataloader) - 1)):
                 logs = train_stats.log()
                 strs = 'epoch: [{}/{}], iter: {}, {}, reader_cost: {:.5f} s, batch_cost: {:.5f} s, samples: {}, ips: {:.5f}'.format(
                     epoch, epoch_num, global_step, logs, train_reader_cost /

tools/train.py

@@ -52,7 +52,10 @@ def main(config, device, logger, vdl_writer):
     train_dataloader = build_dataloader(config, 'Train', device, logger)
     if len(train_dataloader) == 0:
         logger.error(
-            'No Images in train dataset, please check annotation file and path in the configuration file'
+            "No Images in train dataset, please ensure\n" +
+            "\t1. The images num in the train label_file_list should be larger than or equal with batch size.\n"
+            +
+            "\t2. The annotation file and path in the configuration file are provided normally."
         )
         return