Web Reference: Given tensor, this operation returns a new tf.Tensor that has the same values as tensor in the same order, except with a new shape given by shape. The tf.reshape does not change the order of or the total number of elements in the tensor, and so it can reuse the underlying data buffer. Apr 28, 2025 · tf.reshape(t, [-1]) uses TensorFlow's tf.reshape() function to reshape the input tensor t. The [-1] argument indicates that the output tensor should be reshaped into a 1D tensor (vector) where TensorFlow infers the size of one dimension based on the total number of elements in the original tensor. Jul 20, 2018 · In tensorflow, variables are place holders. So, x will hold floating point values, and another variable say will hold values in shape . If same variable name is used then it has to act as placeholder for two things. This is not possible.
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