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54 řádky
2.1 KiB
54 řádky
2.1 KiB
from builtins import range
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import numpy as np
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def get_im2col_indices(x_shape, field_height, field_width, padding=1, stride=1):
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# First figure out what the size of the output should be
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N, C, H, W = x_shape
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assert (H + 2 * padding - field_height) % stride == 0
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assert (W + 2 * padding - field_height) % stride == 0
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out_height = (H + 2 * padding - field_height) / stride + 1
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out_width = (W + 2 * padding - field_width) / stride + 1
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i0 = np.repeat(np.arange(field_height), field_width)
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i0 = np.tile(i0, C)
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i1 = stride * np.repeat(np.arange(out_height), out_width)
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j0 = np.tile(np.arange(field_width), field_height * C)
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j1 = stride * np.tile(np.arange(out_width), out_height)
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i = i0.reshape(-1, 1) + i1.reshape(1, -1)
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j = j0.reshape(-1, 1) + j1.reshape(1, -1)
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k = np.repeat(np.arange(C), field_height * field_width).reshape(-1, 1)
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return (k, i, j)
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def im2col_indices(x, field_height, field_width, padding=1, stride=1):
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""" An implementation of im2col based on some fancy indexing """
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# Zero-pad the input
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p = padding
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x_padded = np.pad(x, ((0, 0), (0, 0), (p, p), (p, p)), mode='constant')
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k, i, j = get_im2col_indices(x.shape, field_height, field_width, padding,
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stride)
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cols = x_padded[:, k, i, j]
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C = x.shape[1]
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cols = cols.transpose(1, 2, 0).reshape(field_height * field_width * C, -1)
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return cols
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def col2im_indices(cols, x_shape, field_height=3, field_width=3, padding=1,
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stride=1):
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""" An implementation of col2im based on fancy indexing and np.add.at """
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N, C, H, W = x_shape
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H_padded, W_padded = H + 2 * padding, W + 2 * padding
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x_padded = np.zeros((N, C, H_padded, W_padded), dtype=cols.dtype)
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k, i, j = get_im2col_indices(x_shape, field_height, field_width, padding,
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stride)
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cols_reshaped = cols.reshape(C * field_height * field_width, -1, N)
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cols_reshaped = cols_reshaped.transpose(2, 0, 1)
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np.add.at(x_padded, (slice(None), k, i, j), cols_reshaped)
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if padding == 0:
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return x_padded
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return x_padded[:, :, padding:-padding, padding:-padding]
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