Lines Matching refs:np
9 import numpy as np namespace
35 padded = np.pad(array=array,
38 constant_values=np.nan)
220 if np.isnan(np.sum(tensor)):
240 self.max_absolute_diff = max(self.max_absolute_diff, np.max(diff))
241 self.min_absolute_diff = min(self.min_absolute_diff, np.min(diff))
255 max_cpu_nnapi_tensor = np.maximum(np.abs(cpu_tensor), np.abs(nnapi_tensor))
256 relative_diff = np.divide(diff, max_cpu_nnapi_tensor, out=np.zeros_like(diff),
269 'min': np.min(diff),
270 'max': np.max(diff),
271 'mean': np.mean(diff),
272 'median': np.median(diff)
412 mask=np.isnan(reshaped_target_diff),
522 if isinstance(obj, np.ndarray):