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Canonical type comparison #2492

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Canonical type comparison #2492

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4 changes: 2 additions & 2 deletions art/attacks/evasion/fast_gradient.py
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Original file line number Diff line number Diff line change
Expand Up @@ -476,7 +476,7 @@ def _apply_perturbation(
) -> np.ndarray:

perturbation_step = eps_step * perturbation
if perturbation_step.dtype != object:
if perturbation_step.dtype is not object:
perturbation_step[np.isnan(perturbation_step)] = 0
else:
for i, _ in enumerate(perturbation_step):
Expand All @@ -489,7 +489,7 @@ def _apply_perturbation(
x = x + perturbation_step
if self.estimator.clip_values is not None:
clip_min, clip_max = self.estimator.clip_values
if x.dtype == object:
if x.dtype is object:
for i_obj in range(x.shape[0]):
x[i_obj] = np.clip(x[i_obj], clip_min, clip_max)
else:
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2 changes: 1 addition & 1 deletion art/estimators/tensorflow.py
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Expand Up @@ -181,7 +181,7 @@ def _apply_preprocessing(self, x, y, fit: bool = False) -> tuple[Any, Any]:

input_is_tensor = isinstance(x, tf.Tensor)

if self.all_framework_preprocessing and not (not input_is_tensor and x.dtype == object):
if self.all_framework_preprocessing and not (not input_is_tensor and x.dtype is object):
# Convert np arrays to torch tensors.
if not input_is_tensor:
x = tf.convert_to_tensor(x)
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