tensorflow-gpu驗證准確率是報錯如上：
解決辦法：
1. 加入os.environ['CUDA_VISIBLE_DEVICES']='2'
強制使用CPU驗證-----慢
2.'batch_size', 降低為32，即可使用GPU跑------快
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tensorflow報錯 tensorflow Resource exhausted: OOM when allocating tensor with shape
tensorflow/core/framework/op_kernel.cc:1111] OP_REQUIRES failed at transpose_op.cc:199 : Resource exhausted:
【tf.keras】Resource exhausted: OOM when allocating tensor with shape [9216,4096] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
Resource exhausted: OOM when allocating tensor with shape[3,3,384,384] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0。。。。。
TensorFlow重新導入restore報錯： OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key Variable not found in checkpoint
OOM when allocating tensor of shape [] and type float [[node conv2d_224/kernel/Initializer/random_uniform/min (defined at ./intances/utils.py:19) ]]
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[1,1424,2128,64]
顯存不夠----ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[4096]
''tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[?]'' 錯誤分析
錯誤：基於tensorflow識別mnist數據集出現ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[10000,32,28,28] and type float on