Multi-Head Mixture of Experts (MHMoE)
MH-MoE to collectively attend to information from various representation spaces within different experts to deepen context understanding while significantly enhancing expert activation.
install
pip3 install mh-moe
usage
import torch
from mh_moe.main import MHMoE
# Define model parameters
dim = 512
heads = 8
num_experts = 4
num_layers = 3
# Create MHMoE model instance
model = MHMoE(dim, heads, num_experts, num_layers)
# Generate dummy input
batch_size = 10
seq_length = 20
dummy_input = torch.rand(batch_size, seq_length, dim)
dummy_mask = torch.ones(batch_size, seq_length) # Example mask
# Forward pass through the model
output = model(dummy_input, dummy_mask)
# Print output and its shape
print(output)
print(output.shape)
1 maintainer
Metadata
1 maintainer
Release files for mh-moe 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mh_moe-0.0.2.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mh_moe-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.0 kB
Release files / mh_moe-0.0.2.tar.gz
| Download URL | mh_moe-0.0.2.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2378d464f54c207ed129e57aa3b83ece6c3c7d675898a9bf26a1dc8d4c5afa94
|
|
BLAKE2b-256 checksum How to use checksums |
c327b11a07721e0f2eedc06e955a5008b7261c52624016c41e74aaa0acb22a04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/23.3.0
|
Release files / mh_moe-0.0.2-py3-none-any.whl
| Download URL | mh_moe-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b984be79496acf7cd3ab503ecb5c06b84f456a3f5599adae7558ea2a24ae35e7
|
|
BLAKE2b-256 checksum How to use checksums |
ef11326c2c8ebb4ee326644183a3ba19b0fbf69cafa69e848fc6ccf9be47dfcb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/23.3.0
|
