Comments (2)
After set the align_corners=True
in the F.grid_sample()
, the result is 0.3685 (acc) and 0.2785 (comp), the other difference will be attributed to the gipuma (fusible). The compilation of which is dependent on the compute capability of the particular cuda and gpu version, please refer to https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/.
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The test results are indeed related to the environment, maybe you can try pytorch1.2.
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