tensorflow models api:ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: 'Tensor("arg0:0", shape=(), dtype=float32, device=/device:CPU:0)'
这个原因是你的tf-record有问题哈.检查pipline里面的tfrecord.
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keras 报错 ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'Tensor("embedding_1/random_uniform:0", shape=(5001, 128), dtype=float32)'
tensorflow TypeError: Can not convert a float32 into a Tensor or Operation
golang float32/64转string
TypeError: Fetch argument 0.484375 has invalid type , must be a string or Tensor. (Can not convert a float32 into a Tensor or Operation.)
float32 和 float64
numpy.zeros(shape, dtype=float, order='C')
【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 ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[256,256,15,15] and type float on 报错（显存不够报错）
TensorFlow models - object detection API 安装