dalle-flow | Loop workflow for creating HD images

import paddle
import paddle.nn.functional as F
import paddle.vision.transforms as T
import paddle.vision.transforms.functional as TF

from PIL import Image
from dall_e import load_model, map_pixels, unmap_pixels

target_image_size = 256

def preproce  

@misc{oord2018neural,
      title={Neural Discrete Representation Learning}, 
      author={Aaron van den Oord and Oriol Vinyals and Koray Kavukcuoglu},
      year={2018},
      eprint={1711.00937},
      archivePrefix={arXiv},
      primaryClass={cs  

let increment = Feedback { _ in
    return self.plusButton.reactive
        .controlEvents(.touchUpInside)
        .map { _ in Event.increment }
}

let decrement = Feedback { _ in
    return self.minusButton.reactive
        .controlEvents(.touchUpIn  

def _get_op_control_flow_context(self, op):
    """Returns the control flow of the given op.

    Args:
      op: tf.Operation for which the control flow context is requested.
    Returns:
      op_control_flow_context: which the is control flow cont  

def EnableControlFlowV2(graph):
  """Returns whether control flow v2 should be used in `graph`."""
  # Enable new control flow in FuncGraphs (but not legacy _FuncGraphs).
  # TODO(skyewm): do something better than hasattr without messing up imports.