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                                            cgastaud

ValueError: Dimension size must be evenly divisible by 10 but is 1 for '{{node training/Reshape}} = Reshape[T=DT_FLOAT, Tshape=DT_INT32](loss/mul, training/Reshape/shape)' with input shapes: [], [2] and with input tensors computed as partial shapes: input[1] = [10,?]

Loss must have `reduction = 'none'`. See [this tutorial](https://github.com/tensorflow/privacy/blob/master/tutorials/mnist_dpsgd_tutorial_keras.py#L122) for instance

Paper or formula used in rdp_accountant.py

I think this is what you are looking for: https://arxiv.org/abs/1908.10530