swim/bo-ptycho
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multi-gpu batched bo

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swim
2026-08-12 22:07:45 +09:00
parent 9c66bc84ad
commit 1c85c324c1
6 changed files with 253 additions and 56 deletions
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ptycho/fold_slice.py
+7 -4
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@@ -11,9 +11,7 @@ class FoldSlicePtychoEngine(PtychoEngine):
def __init__(self, config):
super().__init__(config)
self._output_dir = os.path.join(config['io']['result_dir'], 'fold_slice')
self._fold_slice_path = self.config['ptycho']['path']
self._setup_txt_path = os.path.join(self._output_dir, 'setup.txt')
self.metric_methods = {
'log_fourier': self._log_fourier_metric,
}
@@ -21,6 +19,9 @@ class FoldSlicePtychoEngine(PtychoEngine):
def run(self, run_id="") -> None:
self._output_dir = os.path.join(self.config['io']['result_dir'], f'fold_slice-{run_id}')
self._setup_txt_path = os.path.join(self._output_dir, 'setup.txt')
# generate setup.txt for fold_slice input
fold_slice_dict = {}
fold_slice_dict['raw_data'] = self.config['io']['input_data_path']
@@ -82,9 +83,11 @@ class FoldSlicePtychoEngine(PtychoEngine):
log_fourier_error = self._log_fourier_metric()
# os.makedirs(os.path.join(self.config['io']['result_dir'], "mat"), exist_ok=True)
os.makedirs(os.path.join(self.config['io']['result_dir'], "tiff"), exist_ok=True)
# os.makedirs(os.path.join(self.config['io']['result_dir'], "tiff"), exist_ok=True)
# shutil.copy(mat_path, os.path.join(self.config['io']['result_dir'], "mat", f"{log_fourier_error:.4f}_{run_id}.mat")) # saving .mat files takes a lot of space (expect 20+ GB for 64*64 scan size, 300 iterations)
shutil.copy(image_path, os.path.join(self.config['io']['result_dir'], "tiff", f"{log_fourier_error:.4f}_{run_id}.tiff"))
# shutil.copy(image_path, os.path.join(self.config['io']['result_dir'], "tiff", f"{log_fourier_error:.4f}_{run_id}.tiff"))
shutil.rmtree(self._output_dir)
def metric(self, names):