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I'm looking into magenta code, and printing its tensor object. I got this result:
Tensor("fully_connected/BiasAdd:0", shape=(?, 38), dtype=float32)
What does this question mark in shape mean?
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About shapes Shape: The length (number of elements) of each of the axes of a tensor. Rank: Number of tensor axes. A scalar has rank 0, a vector has rank 1, a matrix is rank 2. Axis or Dimension: A particular dimension of a tensor.
A None value in the shape of a tensor means that the tensor can be of any size (large than or equal to 1) in that dimension.
Reading about the terminology you can see that shape (3, ) means you have a vector of 3 elements.
Each tensor object is defined with tensor attributes like a unique label (name), a dimension (shape) and TensorFlow data types (dtype). You can define a tensor with decimal values or with a string by changing the type of data.
It means that first dimension is not fixed in the graph and it can vary between run calls
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