lbzhang lbzhang

lbzhang / git-stash.md

Created December 16, 2018 09:39 — forked from subchen/git-stash.md

Git Stash 用法

git stash用于保存和恢复工作进度

这条命令实际上是第一条 git stash 命令的完整版

lbzhang / iterm2.md

Created July 17, 2018 09:57 — forked from squarism/iterm2.md

iterm2 cheatsheet

lbzhang / .vimrc

Created June 8, 2018 08:31 — forked from veggiefrog/.vimrc

VIM: Remember last position in file

	" Remember position of last edit and return on reopen
	if has("autocmd")
	au BufReadPost * if line("'\"") > 1 && line("'\"") <= line("$") \| exe "normal! g'\"" \| endif
	endif

lbzhang / compact_bilinear_pooling.py

Created April 24, 2018 15:02 — forked from vadimkantorov/compact_bilinear_pooling.py

Compact Bilinear Pooling in PyTorch using the new FFT support

	import torch

	class CompactBilinearPooling(torch.nn.Module):
	def __init__(self, input_dim1, input_dim2, output_dim, sum_pool = True):
	super(CompactBilinearPooling, self).__init__()
	self.output_dim = output_dim
	self.sum_pool = sum_pool
	generate_sketch_matrix = lambda rand_h, rand_s, input_dim, output_dim: torch.sparse.FloatTensor(torch.stack([torch.arange(input_dim, out = torch.LongTensor()), rand_h.long()]), rand_s.float(), [input_dim, output_dim]).to_dense()
	self.sketch_matrix1 = torch.nn.Parameter(generate_sketch_matrix(torch.randint(output_dim, size = (input_dim1,)), 2 * torch.randint(2, size = (input_dim1,)) - 1, input_dim1, output_dim))
	self.sketch_matrix2 = torch.nn.Parameter(generate_sketch_matrix(torch.randint(output_dim, size = (input_dim2,)), 2 * torch.randint(2, size = (input_dim2,)) - 1, input_dim2, output_dim))

lbzhang / C++ Predict with caffe

Created October 12, 2017 10:29 — forked from onauparc/C++ Predict with caffe

sample code for caffe C++ prediction