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Tests v0 3 5 #338
Tests v0 3 5 #338
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The Architecture superclass says that we should be returning coordinates for these properties This is important because we regularly use these values in arithmetic where we expect to execute +-*/ element wise
…re robust If we upsample, we probably want to apply a convolution to finetune the outputs rather than simply upsampling which we could do outside of a network. If we assume a kernel of size (3, 3, 3), it fails for 2D networks that process using kernels of size (1, 3, 3). We now just use the last kernel in the kernel size up. This is a bit more robust.
… during training Otherwise the BatchNorm breaks
This should probably just be switched to use `funlib.perisistence.prepare_ds`
There are still some tests failing.
FAILED tests/operations/test_train.py::test_train_unet[True-True-True-True-gunpowder_trainer-distance_task-six_class_datasplit] - RuntimeError: The size of tensor a (188) must match the size of tensor b (94) at non-singleton dimensi... |
nice, can you please review tha changes i did in the |
Fixed a couple bugs
ABC
. It was supposed to be returningCoordinate
class instances for voxel_size, input_shape etc.