It looks to me, like some code is trying to handle a tf-tensor as if it was a np-array. Tensors don't have a shape attribute, since their shape is stored as a more complicated object. If you want to get the information, you are used to from np, you'd have to call my_tensor.get_shape ().as_list ().
16.09.2018 · tensor = tf.multiply (ndarray, 42) tensor.numpy () # throw AttributeError: 'Tensor' object has no attribute 'numpy'. I use anaconda 3 with tensorflow 1.14.0. I upgraded tensorflow with the command below. conda update tensorflow. now tensorflow is 2.0.0, issue fixed. Try this to see if it resolves your issue.
AttributeError: 'Tensor' object has no attribute 'numpy' Tensorflow 2.3 I write here a snippet of my model. ... I have a reinforcement learning project, where i have multiple cpu processes generating input data in batches and sending them over to a single GPU for inference.
AttributeError: 'tensorflow.python.framework.ops.EagerTensor' object has no attribute 'to_tensor' #52382 Closed ipietri opened this issue Oct 14, 2021 · 9 comments
Returns a new Tensor, detached from the current graph. The result will never require gradient. 返回一个new Tensor，只不过不再有梯度。 如果想把CUDA tensor格式的数据改成numpy时，需要先将其转换成cpu float-tensor随后再转到numpy格式。 numpy不能读取CUDA tensor 需要将它转化为 …
02.09.2021 · [TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output. [TensorRT] INFO: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase …
08.10.2018 · It seems like this was caused by a recent commit: f62716c. I changed the function as follows: def to_np (v): '''returns an np.array object given an input of np.array, list, tuple, torch variable or tensor.''' if isinstance (v, float): return np.array (v) # <-- Added this line if isinstance (v, (np.ndarray, np.generic)): return v if isinstance ...
A torch.layout is an object that represents the memory layout of a torch.Tensor.Currently, we support torch.strided (dense Tensors) and have beta support for torch.sparse_coo (sparse COO Tensors).. torch.strided represents dense Tensors and is the memory layout that is most commonly used. Each strided tensor has an associated torch.Storage, which holds its data.
AttributeError: 'Tensor' object has no attribute 'numpy' ... CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2018-09-16 ...