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Fix for grid_sample_gradfix and conv2d_gradfix on pytorch 1.11 #117

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Fix for grid_sample_gradfix and conv2d_gradfix on pytorch 1.11 #117

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3206165
Fix for grid_sample_gradfix and conv2d_gradfix on pytorch 1.11
vyabor Apr 10, 2024
62ee2ef
pytorch 1.12+ fix
vyabor Apr 16, 2024
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5 changes: 5 additions & 0 deletions torch_utils/ops/conv2d_gradfix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@

import contextlib
import torch
from pkg_resources import parse_version

# pylint: disable=redefined-builtin
# pylint: disable=arguments-differ
Expand All @@ -20,6 +21,7 @@

enabled = False # Enable the custom op by setting this to true.
weight_gradients_disabled = False # Forcefully disable computation of gradients with respect to the weights.
_use_pytorch_1_11_api = parse_version(torch.__version__) >= parse_version('1.11.0a') # Allow prerelease builds of 1.11

@contextlib.contextmanager
def no_weight_gradients(disable=True):
Expand Down Expand Up @@ -48,6 +50,9 @@ def _should_use_custom_op(input):
assert isinstance(input, torch.Tensor)
if (not enabled) or (not torch.backends.cudnn.enabled):
return False
if _use_pytorch_1_11_api:
# The work-around code doesn't work on PyTorch 1.11.0 onwards
return False
if input.device.type != 'cuda':
return False
return True
Expand Down
11 changes: 10 additions & 1 deletion torch_utils/ops/grid_sample_gradfix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
`mode='bilinear'`, `padding_mode='zeros'`, `align_corners=False`."""

import torch
from pkg_resources import parse_version

# pylint: disable=redefined-builtin
# pylint: disable=arguments-differ
Expand All @@ -20,6 +21,8 @@
#----------------------------------------------------------------------------

enabled = False # Enable the custom op by setting this to true.
_use_pytorch_1_11_api = parse_version(torch.__version__) >= parse_version('1.11.0a') # Allow prerelease builds of 1.11
_use_pytorch_1_12_api = parse_version(torch.__version__) >= parse_version('1.12.0a') # Allow prerelease builds of 1.12

#----------------------------------------------------------------------------

Expand Down Expand Up @@ -56,7 +59,13 @@ class _GridSample2dBackward(torch.autograd.Function):
@staticmethod
def forward(ctx, grad_output, input, grid):
op = torch._C._jit_get_operation('aten::grid_sampler_2d_backward')
grad_input, grad_grid = op(grad_output, input, grid, 0, 0, False)
if _use_pytorch_1_12_api:
op = op[0]
if _use_pytorch_1_11_api:
output_mask = (ctx.needs_input_grad[1], ctx.needs_input_grad[2])
grad_input, grad_grid = op(grad_output, input, grid, 0, 0, False, output_mask)
else:
grad_input, grad_grid = op(grad_output, input, grid, 0, 0, False)
ctx.save_for_backward(grid)
return grad_input, grad_grid

Expand Down