Exemple #1
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def _Relu6Grad(op, grad):
    return gen_nn_ops._relu6_grad(grad, op.inputs[0])
Exemple #2
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def _Relu6GradGrad(op, grad):
  x = op.inputs[1]
  return (gen_nn_ops._relu6_grad(grad, x), array_ops.zeros(
      shape=array_ops.shape(x), dtype=x.dtype))
Exemple #3
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def _Relu6Grad(op, grad):
  return gen_nn_ops._relu6_grad(grad, op.inputs[0])
Exemple #4
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def _Relu6Grad(op, grad):
  return gen_nn_ops._relu6_grad(grad, op.outputs[0])  # pylint: disable=protected-access
Exemple #5
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def _guided_grad_relu6(op, grad):
    return guided_grad(gen_nn_ops._relu6_grad(grad, op.outputs[0]))
Exemple #6
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def _guided_grad_relu6(op, grad):
    return guided_grad(gen_nn_ops._relu6_grad(grad, op.outputs[0]))
Exemple #7
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def _Relu6GradGrad(op, grad):
  x = op.inputs[1]
  return (gen_nn_ops._relu6_grad(grad, x), array_ops.zeros(
      shape=array_ops.shape(x), dtype=x.dtype))
Exemple #8
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def _Relu6Grad(op, grad):
  return gen_nn_ops._relu6_grad(grad, op.outputs[0])  # pylint: disable=protected-access