def forward(self, x):
N, C, H, W = x.shape
out_h = int(1 + (H - self.pool_h) / self.stride)
out_w = int(1 + (W - self.pool_w) / self.stride)
col = im2col(x, self.pool_h, self.pool_w, self.stride, self.pad)
col = col.reshape(-1, self.pool_h * self.pool_w)
arg_max = np.argmax(col, axis=1)
out = np.max(col, axis=1)
out = out.reshape(N, out_h, out_w, C).transpose(0, 3, 1, 2)
self.x = x
self.arg_max = arg_max
return out
def forward(self, x):
FN, C, FH, FW = self.W.shape
N, C, H, W = x.shape
out_h = 1 + int((H + 2 * self.pad - FH) / self.stride)
out_w = 1 + int((W + 2 * self.pad - FW) / self.stride)
col = im2col(x, FH, FW, self.stride, self.pad)
col_W = self.W.reshape(FN, -1).T
out = np.dot(col, col_W) + self.b
out = out.reshape(N, out_h, out_w, -1).transpose(0, 3, 1, 2)
self.x = x
self.col = col
self.col_W = col_W
return out
import sys, os
sys.path.append(os.pardir)
import numpy as np
from common.utils import im2col
# arr1D = np.array([1, 1, 2, 2, 3, 7])
# print('linear_ramp: ' + str(np.pad(arr1D, (2, 3), 'linear_ramp')))
x1 = np.random.rand(1, 3, 7, 7)
col1 = im2col(x1, 5, 5, stride=1, pad=0)
print(col1.shape) # (9, 75)
x2 = np.random.rand(10, 3, 7, 7) # 10个数据
col2 = im2col(x2, 5, 5, stride=1, pad=0)
print(col2.shape) # (90, 75)