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Merge pull request 'master' (#2) from sadaszewski1/decagon-pytorch:master into master

master
sadaszewski 1 year ago
parent
commit
40b572ba2a
6 changed files with 36 additions and 0 deletions
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      .gitignore
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      decagon_pytorch/__init__.py
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      decagon_pytorch/convolve.py
  4. +18
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      decagon_pytorch/dropout.py
  5. +0
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      decagon_pytorch/model.py
  6. +13
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      decagon_pytorch/weights.py

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.gitignore View File

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__pycache__


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decagon_pytorch/__init__.py View File

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from .weights import *
from .convolve import *
from .model import *

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decagon_pytorch/convolve.py View File


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decagon_pytorch/dropout.py View File

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import torch
def dropout_sparse(x, keep_prob):
"""Dropout for sparse tensors.
"""
x = x.coalesce()
i = x._indices()
v = x._values()
size = x.size()
n = keep_prob + torch.rand(len(v))
n = torch.floor(n).to(torch.bool)
i = i[:,n]
v = v[n]
x = torch.sparse_coo_tensor(i, v, size=size)
return x * (1./keep_prob)

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decagon_pytorch/model.py View File


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decagon_pytorch/weights.py View File

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import torch
import numpy as np
def init_glorot(input_dim, output_dim):
"""Create a weight variable with Glorot & Bengio (AISTATS 2010)
initialization.
"""
init_range = np.sqrt(6.0 / (input_dim + output_dim))
initial = -init_range + 2 * init_range * \
torch.rand(( input_dim, output_dim ), dtype=torch.float32)
initial = initial.requires_grad_(True)
return initial

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