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                                            jaalmoes

tensor_utils.py - unfold2d TypeError: unsupported operand type(s) for +: 'int' and 'str'

## 🐛 Bug When using "same" for padding in pytorch conv2d, opacus doesn't compute a tuple as specified in pytorch doucmentation. Instead opadus uses the string "same" in the compution...

bug

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,?]

Hello, I am trying to train with differential privacy using tensorflow_privacy.DPKerasSGDOptimizer() here is my code E = 1 B = 100 N = 2 dataset = pickle.load( open(path, "rb" )...