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name: prune_llm | |
channels: | |
- pytorch | |
- nvidia | |
- conda-forge | |
- defaults | |
dependencies: | |
- _libgcc_mutex=0.1=main | |
- _openmp_mutex=5.1=1_gnu | |
- blas=1.0=mkl |
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name: "GoogleNet" | |
layer { | |
name: "data" | |
type: "Data" | |
top: "data" | |
top: "label" | |
include { | |
phase: TRAIN | |
} | |
transform_param { |
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# @article{ThiNet_ICCV17, | |
# Author = {Jian-Hao Luo, Jianxin Wu, and Weiyao Lin}, | |
# Title = {ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression}, | |
# Journal = {arXiv:1707.06342}, | |
# Year = {2017} | |
# } | |
# fixed size: center 224x224 crop from resized image with 256x256 | |
# The accuracy should be: Top-1: 0.6734, Top-5: 0.8792 | |
# If you have any problem, please feel free to contact Jian-Hao Luo ([email protected]). | |
# 2017-07-29 |