Created
May 15, 2019 16:23
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import torch | |
bodies = torch.zeros((2, 1, 7, 7)) | |
heads = torch.zeros((2, 1, 7, 7)) | |
num_envs = bodies.size(0) | |
# Initialise body as shown in diagram | |
bodies[:, :, 3, 2] = 1 | |
bodies[:, :, 3, 3] = 2 | |
bodies[:, :, 2, 3] = 3 | |
bodies[:, :, 2, 4] = 4 | |
bodies[:, :, 2, 5] = 5 | |
bodies[:, :, 3, 5] = 6 | |
bodies[:, :, 4, 5] = 7 | |
bodies[:, :, 5, 5] = 8 | |
print(bodies[0, 0], '\n') | |
# Move tail | |
bodies.sub_(1).relu_() | |
print(bodies[0, 0], '\n') | |
# Move head manually | |
# See https://gist.github.com/oscarknagg/863602483afc83d698ce399a67eb21d4) | |
# for the head movement procedure | |
heads[:, :, 5, 4] = 1 | |
# Create new front position | |
bodies.add_( | |
heads*(bodies+1).view(num_envs, -1).max(dim=1, keepdim=True)[0] | |
.unsqueeze(-1) # Add singleton dimensions so broadcasting works in add_ | |
.unsqueeze(-1) | |
) | |
print(bodies[0, 0], '\n') |
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