ORTDiffusionPipeline
s with IO Binding
#2056
Draft
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What does this PR do?
This is also my attempt to create a generalizable io binding framework, the idea is to always have
output_shapes = fn(input_shapes, known_shapes)
whereknown_shapes
is mostly stuff we find in the config, we the use this information at runtime with a simple symbolic resolver, keeping the shape inference time minimal, to create output tensors in torch and thus accelerate inference without the need to pass by ort values / cupy / numpy.Before submitting
Who can review?