Merge pull request #481 from tink2123/add_error_message
add error message
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commit
57e0565a5b
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@ -185,6 +185,7 @@ class SimpleReader(object):
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if params['mode'] != 'test':
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self.img_set_dir = params['img_set_dir']
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self.label_file_path = params['label_file_path']
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self.use_gpu = params['use_gpu']
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self.char_ops = params['char_ops']
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self.image_shape = params['image_shape']
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self.loss_type = params['loss_type']
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@ -213,6 +214,15 @@ class SimpleReader(object):
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if self.mode != 'train':
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process_id = 0
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def get_device_num():
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if self.use_gpu:
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gpus = os.environ.get("CUDA_VISIBLE_DEVICES", 1)
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gpu_num = len(gpus.split(','))
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return gpu_num
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else:
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cpu_num = os.environ.get("CPU_NUM", 1)
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return int(cpu_num)
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def sample_iter_reader():
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if self.mode != 'train' and self.infer_img is not None:
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image_file_list = get_image_file_list(self.infer_img)
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@ -237,6 +247,10 @@ class SimpleReader(object):
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print("multiprocess is not fully compatible with Windows."
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"num_workers will be 1.")
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self.num_workers = 1
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if self.batch_size * get_device_num() > img_num:
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raise Exception(
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"The number of the whole data ({}) is smaller than the batch_size * devices_num ({})".
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format(img_num, self.batch_size * get_device_num()))
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for img_id in range(process_id, img_num, self.num_workers):
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label_infor = label_infor_list[img_id_list[img_id]]
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substr = label_infor.decode('utf-8').strip("\n").split("\t")
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