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⚡️ Speed up method OpenVINOTrainer.make_predict_function by 9% #221

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⚡️ Speed up method OpenVINOTrainer.make_predict_function by 9% #221

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14 changes: 6 additions & 8 deletions keras/src/backend/openvino/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -128,15 +128,13 @@ def one_predict_step(data):
return self.predict_step(data)

def multi_predict_steps(data):
outputs = one_predict_step(data[:1])
# Pre-allocate a list to collect all outputs for each input in the batch
num_steps = len(data)
step_outputs = [one_predict_step([single_step_data]) for single_step_data in data]

for single_step_data in data[1:]:
step_outputs = one_predict_step([single_step_data])
outputs = tree.map_structure(
lambda t1, t2: np.concatenate([t1, t2]),
outputs,
step_outputs,
)
# Stack outputs in a memory-efficient and batch-wise way
# tree.map_structure can be used to stack along axis 0 across all outputs
outputs = tree.map_structure(lambda *tensors: np.concatenate(tensors, axis=0), *step_outputs)
return outputs

if self.steps_per_execution > 1:
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