From 8b80a78e6840b78fada0bb192e3615a907f50540 Mon Sep 17 00:00:00 2001
From: Stephan Seitz <stephan.seitz@fau.de>
Date: Mon, 16 Dec 2019 12:05:48 +0100
Subject: [PATCH] Add additional assertion: with_cuda needs to be bool
---
src/pystencils_autodiff/backends/_torch_native.py | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/src/pystencils_autodiff/backends/_torch_native.py b/src/pystencils_autodiff/backends/_torch_native.py
index d1dda49..75f79bf 100644
--- a/src/pystencils_autodiff/backends/_torch_native.py
+++ b/src/pystencils_autodiff/backends/_torch_native.py
@@ -84,8 +84,9 @@ def create_autograd_function(autodiff_obj, use_cuda):
assert all(f.shape == grad_outputs[i].shape for i, f in enumerate(grad_fields))
assert all(f.strides == tuple(grad_outputs[i].stride(j) for j in range(grad_outputs[i].ndim))
for i, f in enumerate(grad_fields))
- assert all(a.is_cuda == use_cuda for a in grad_outputs), "Some of the tensors where on the wrong device. "
- f"Op was compiled for CUDA: {str(use_cuda)}"
+ assert use_cuda in (True, False), "use_cuda needs to be True or False"
+ assert all(a.is_cuda == use_cuda for a in grad_outputs), (
+ "Some of the tensors where on the wrong device. " f"Op was compiled for CUDA: {str(use_cuda)}")
for field in autodiff_obj.backward_output_fields:
backward_output_tensors = OrderedDict({f.name: torch.zeros(field.shape,
--
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