tensorflow报错 InternalError (see above for traceback): Blas GEMM launch failed :

it2022-05-05  141

WARNING:tensorflow:From C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\training\saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. 模型重新载入成功 Traceback (most recent call last):   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call     return fn(*args)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn     options, feed_dict, fetch_list, target_list, run_metadata)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun     run_metadata) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(2048, 16), b.shape=(16, 128), m=2048, n=128, k=16      [[{{node MatMul}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):   File "I:\DNN模型重新测试\LSTM测试\测试3 数据集加入新的1\RNN模型直接使用.py", line 239, in <module>     y: y_test_batch,   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 929, in run     run_metadata_ptr)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run     feed_dict_tensor, options, run_metadata)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run     run_metadata)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call     raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(2048, 16), b.shape=(16, 128), m=2048, n=128, k=16      [[node MatMul (defined at I:\DNN模型重新测试\LSTM测试\测试3 数据集加入新的1\RNN模型直接使用.py:56) ]]

Caused by op 'MatMul', defined at:   File "<string>", line 1, in <module>   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\idlelib\run.py", line 144, in main     ret = method(*args, **kwargs)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\idlelib\run.py", line 474, in runcode     exec(code, self.locals)   File "I:\DNN模型重新测试\LSTM测试\测试3 数据集加入新的1\RNN模型直接使用.py", line 101, in <module>     pred = RNN(x, weights, biases)   File "I:\DNN模型重新测试\LSTM测试\测试3 数据集加入新的1\RNN模型直接使用.py", line 56, in RNN     X_in = tf.matmul(X, weights['in']) + biases['in']   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2455, in matmul     a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5630, in mat_mul     name=name)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper     op_def=op_def)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func     return func(*args, **kwargs)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\ops.py", line 3300, in create_op     op_def=op_def)   File "C:\Users\shelton\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\ops.py", line 1801, in __init__     self._traceback = tf_stack.extract_stack()

InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(2048, 16), b.shape=(16, 128), m=2048, n=128, k=16

 

检查一下 是不是开了两个以上使用tf的python,在运行窗口

如果有的话 关掉一个 就好了


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