Replicate¶
Description¶
This module replicates the output of the previous layer and is used to branch the neural network when it is built using Sequential.
Initializing¶
def __init__(self, times, name=None):
Parameters
| Parameter | Allowed types | Description | Default |
|---|---|---|---|
| name | str | Layer name | None |
| times | int | How many times to copy the output of the previous layer | – |
Explanations
-
Examples¶
Necessary imports.
import numpy as np
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Modules import Replicate
Info
gpuarray is required to properly place the tensor in the GPU
np.random.seed(123)
batchsize, maps, h, w = 1, 1, 5, 5
data = gpuarray.to_gpu(np.random.randint(0, 9, (batchsize, maps, h, w)).astype(np.float32))
print(data)
[[[[2. 2. 6. 1. 3.]
[6. 1. 0. 1. 0.]
[0. 3. 4. 0. 0.]
[4. 1. 7. 3. 2.]
[4. 7. 2. 4. 8.]]]]
repl = Replicate(times=3)
print(repl(data))
[[[[2. 2. 6. 1. 3.]
[6. 1. 0. 1. 0.]
[0. 3. 4. 0. 0.]
[4. 1. 7. 3. 2.]
[4. 7. 2. 4. 8.]]]],
[[[[2. 2. 6. 1. 3.]
[6. 1. 0. 1. 0.]
[0. 3. 4. 0. 0.]
[4. 1. 7. 3. 2.]
[4. 7. 2. 4. 8.]]]],
[[[[2. 2. 6. 1. 3.]
[6. 1. 0. 1. 0.]
[0. 3. 4. 0. 0.]
[4. 1. 7. 3. 2.]
[4. 7. 2. 4. 8.]]]]