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Fixed exception on linear_quantize_activations for ImageType output #2385

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Fixed exception on linear_quantize_activations for ImageType output #2385

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3 changes: 3 additions & 0 deletions coremltools/optimize/coreml/experimental/_model_debugger.py
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Original file line number Diff line number Diff line change
Expand Up @@ -312,6 +312,9 @@ def clear_cached_models(self):

# The function will get called for each intermediate output, return `False` if you want to stop the enumeration otherwise `True`.
def check_intermediate_output(output_value, output_name, operation, activation_stats_dict):
if not isinstance(output_value, np.ndarray):
# output_value may be a PIL image, convert it to numpy array
output_value = np.array(output_value)
tensor_min = np.min(output_value.flatten())
tensor_max = np.max(output_value.flatten())
activation_stats_dict[output_name]["rmin"] = tensor_min
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