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Fix weights hessian gradient tape #1105

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Jun 16, 2024
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Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,7 @@ def compute(self) -> List[np.ndarray]:
model, _ = FloatKerasModelBuilder(graph=self.graph).build_model()

# Initiate a gradient tape for automatic differentiation
with (tf.GradientTape(persistent=True) as tape):
with tf.GradientTape(persistent=True) as tape:
# Perform a forward pass (inference) to get the output, while watching
# the input tensor for gradient computation
tape.watch(self.input_images)
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