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18 changes: 11 additions & 7 deletions src/torchjd/autogram/_engine.py
Original file line number Diff line number Diff line change
Expand Up @@ -169,11 +169,20 @@ def compute_gramian(self, output: Tensor) -> Tensor:
"""

reshaped_output = output.reshape([-1])
return self._compute_square_gramian(reshaped_output)

def _compute_square_gramian(self, output: Tensor) -> Tensor:
self._module_hook_manager.gramian_accumulation_phase = True

try:
square_gramian = self._compute_square_gramian(reshaped_output)
finally:
# Reset everything that has a state, even if the previous call raised an exception
self._module_hook_manager.gramian_accumulation_phase = False
self._gramian_accumulator.reset()
self._target_edges.reset()

return square_gramian

def _compute_square_gramian(self, output: Tensor) -> Tensor:
leaf_targets = list(self._target_edges.get_leaf_edges({get_gradient_edge(output)}))

def differentiation(_grad_output: Tensor) -> tuple[Tensor, ...]:
Expand All @@ -190,9 +199,4 @@ def differentiation(_grad_output: Tensor) -> tuple[Tensor, ...]:
# have failed. So gramian is necessarily a valid Tensor here.
gramian = cast(Tensor, self._gramian_accumulator.gramian)

# Reset everything that has a state
self._module_hook_manager.gramian_accumulation_phase = False
self._gramian_accumulator.reset()
self._target_edges.reset()

return gramian
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