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File "C:\Users\71539\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\training\saver.py", line 1599, in _import_meta_graph_with_return_elements
meta_graph_def = meta_graph.read_meta_graph_file(meta_graph_or_file)
File "C:\Users\71539\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\framework\meta_graph.py", line 611, in read_meta_graph_file
raise IOError(f"File does not exist. Received: {filename}.")
OSError: File does not exist. Received: T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main/model//ssq/3/red_ball_model/red_ball_model.ckpt.meta.
(base) PS T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main> python run_predict.py --name ssq kl8
2024-04-05 22:27:23.339476: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
WARNING:tensorflow:From C:\Users\71539\AppData\Roaming\Python\Python310\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
WARNING:tensorflow:From T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main\common.py:219: The name tf.disable_eager_execution is deprecated. Please use tf.compat.v1.disable_eager_execution instead.
2024-04-05 22:27:28.448749: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
usage: run_predict.py [-h] [--name NAME] [--windows_size WINDOWS_SIZE] [--cq CQ]
run_predict.py: error: unrecognized arguments: kl8
(base) PS T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main>
The text was updated successfully, but these errors were encountered:
File "C:\Users\71539\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\training\saver.py", line 1599, in _import_meta_graph_with_return_elements
meta_graph_def = meta_graph.read_meta_graph_file(meta_graph_or_file)
File "C:\Users\71539\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\framework\meta_graph.py", line 611, in read_meta_graph_file
raise IOError(f"File does not exist. Received: {filename}.")
OSError: File does not exist. Received: T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main/model//ssq/3/red_ball_model/red_ball_model.ckpt.meta.
(base) PS T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main> python run_predict.py --name ssq kl8
2024-04-05 22:27:23.339476: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable
TF_ENABLE_ONEDNN_OPTS=0
.WARNING:tensorflow:From C:\Users\71539\AppData\Roaming\Python\Python310\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
WARNING:tensorflow:From T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main\common.py:219: The name tf.disable_eager_execution is deprecated. Please use tf.compat.v1.disable_eager_execution instead.
2024-04-05 22:27:28.448749: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
usage: run_predict.py [-h] [--name NAME] [--windows_size WINDOWS_SIZE] [--cq CQ]
run_predict.py: error: unrecognized arguments: kl8
(base) PS T:\全系列彩票预测\predict_Lottery_ticket-main\predict_Lottery_ticket-main>
The text was updated successfully, but these errors were encountered: