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Add diagrams to guide/tensor
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site/en/community/contribute/code_style.md

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## TensorFlow conventions and special uses
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### Tensors
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* Operations that deal with batches may assume that the **first dimension** of
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a Tensor is the batch dimension.
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* In most models, the **last dimension** is the number of _channels_.
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* Dimensions excluding the first and last usually make up the _space_
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dimensions: sequence-length, or image-size.
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* When possible, use a Tensor's overloaded operators rather than TensorFlow
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functions. For example, we prefer `**`, `+`, `/`, `*`, `-`, `and/or` over
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`tf.pow`, `tf.add`, `tf.divide`, `tf.multiply`, `tf.subtract`, and `tf.logical_*`
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unless a specific name for the operation is desired.
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### Python operations
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A _Python operation_ is a function that, given input tensors and parameters,
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creates a part of the graph and returns output tensors.
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A TensorFlow _operation_ is a function that, given input tensors returns output
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tensors (or adds a op to a graph when building graphs).
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* The first argument should be tensors, followed by basic Python parameters.
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The last argument is `name` with a default value of `None`.
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site/en/guide/images/tensor/shape.png

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