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| 1 | +"""Net summarization tool. |
| 2 | +
|
| 3 | +This tool summarizes the structure of a net in a concise but comprehensive |
| 4 | +tabular listing, taking a prototxt file as input. |
| 5 | +
|
| 6 | +Use this tool to check at a glance that the computation you've specified is the |
| 7 | +computation you expect. |
| 8 | +""" |
| 9 | + |
| 10 | +from caffe.proto import caffe_pb2 |
| 11 | +from google import protobuf |
| 12 | +import re |
| 13 | +import argparse |
| 14 | + |
| 15 | +# ANSI codes for coloring blobs (used cyclically) |
| 16 | +COLORS = ['92', '93', '94', '95', '97', '96', '42', '43;30', '100', |
| 17 | + '444', '103;30', '107;30'] |
| 18 | +DISCONNECTED_COLOR = '41' |
| 19 | + |
| 20 | +def read_net(filename): |
| 21 | + net = caffe_pb2.NetParameter() |
| 22 | + with open(filename) as f: |
| 23 | + protobuf.text_format.Parse(f.read(), net) |
| 24 | + return net |
| 25 | + |
| 26 | +def format_param(param): |
| 27 | + out = [] |
| 28 | + if len(param.name) > 0: |
| 29 | + out.append(param.name) |
| 30 | + if param.lr_mult != 1: |
| 31 | + out.append('x{}'.format(param.lr_mult)) |
| 32 | + if param.decay_mult != 1: |
| 33 | + out.append('Dx{}'.format(param.decay_mult)) |
| 34 | + return ' '.join(out) |
| 35 | + |
| 36 | +def printed_len(s): |
| 37 | + return len(re.sub(r'\033\[[\d;]+m', '', s)) |
| 38 | + |
| 39 | +def print_table(table, max_width): |
| 40 | + """Print a simple nicely-aligned table. |
| 41 | +
|
| 42 | + table must be a list of (equal-length) lists. Columns are space-separated, |
| 43 | + and as narrow as possible, but no wider than max_width. Text may overflow |
| 44 | + columns; note that unlike string.format, this will not affect subsequent |
| 45 | + columns, if possible.""" |
| 46 | + |
| 47 | + max_widths = [max_width] * len(table[0]) |
| 48 | + column_widths = [max(printed_len(row[j]) + 1 for row in table) |
| 49 | + for j in range(len(table[0]))] |
| 50 | + column_widths = [min(w, max_w) for w, max_w in zip(column_widths, max_widths)] |
| 51 | + |
| 52 | + for row in table: |
| 53 | + row_str = '' |
| 54 | + right_col = 0 |
| 55 | + for cell, width in zip(row, column_widths): |
| 56 | + right_col += width |
| 57 | + row_str += cell + ' ' |
| 58 | + row_str += ' ' * max(right_col - printed_len(row_str), 0) |
| 59 | + print row_str |
| 60 | + |
| 61 | +def summarize_net(net): |
| 62 | + disconnected_tops = set() |
| 63 | + for lr in net.layer: |
| 64 | + disconnected_tops |= set(lr.top) |
| 65 | + disconnected_tops -= set(lr.bottom) |
| 66 | + |
| 67 | + table = [] |
| 68 | + colors = {} |
| 69 | + for lr in net.layer: |
| 70 | + tops = [] |
| 71 | + for ind, top in enumerate(lr.top): |
| 72 | + color = colors.setdefault(top, COLORS[len(colors) % len(COLORS)]) |
| 73 | + if top in disconnected_tops: |
| 74 | + top = '\033[1;4m' + top |
| 75 | + if len(lr.loss_weight) > 0: |
| 76 | + top = '{} * {}'.format(lr.loss_weight[ind], top) |
| 77 | + tops.append('\033[{}m{}\033[0m'.format(color, top)) |
| 78 | + top_str = ', '.join(tops) |
| 79 | + |
| 80 | + bottoms = [] |
| 81 | + for bottom in lr.bottom: |
| 82 | + color = colors.get(bottom, DISCONNECTED_COLOR) |
| 83 | + bottoms.append('\033[{}m{}\033[0m'.format(color, bottom)) |
| 84 | + bottom_str = ', '.join(bottoms) |
| 85 | + |
| 86 | + if lr.type == 'Python': |
| 87 | + type_str = lr.python_param.module + '.' + lr.python_param.layer |
| 88 | + else: |
| 89 | + type_str = lr.type |
| 90 | + |
| 91 | + # Summarize conv/pool parameters. |
| 92 | + # TODO support rectangular/ND parameters |
| 93 | + conv_param = lr.convolution_param |
| 94 | + if (lr.type in ['Convolution', 'Deconvolution'] |
| 95 | + and len(conv_param.kernel_size) == 1): |
| 96 | + arg_str = str(conv_param.kernel_size[0]) |
| 97 | + if len(conv_param.stride) > 0 and conv_param.stride[0] != 1: |
| 98 | + arg_str += '/' + str(conv_param.stride[0]) |
| 99 | + if len(conv_param.pad) > 0 and conv_param.pad[0] != 0: |
| 100 | + arg_str += '+' + str(conv_param.pad[0]) |
| 101 | + arg_str += ' ' + str(conv_param.num_output) |
| 102 | + if conv_param.group != 1: |
| 103 | + arg_str += '/' + str(conv_param.group) |
| 104 | + elif lr.type == 'Pooling': |
| 105 | + arg_str = str(lr.pooling_param.kernel_size) |
| 106 | + if lr.pooling_param.stride != 1: |
| 107 | + arg_str += '/' + str(lr.pooling_param.stride) |
| 108 | + if lr.pooling_param.pad != 0: |
| 109 | + arg_str += '+' + str(lr.pooling_param.pad) |
| 110 | + else: |
| 111 | + arg_str = '' |
| 112 | + |
| 113 | + if len(lr.param) > 0: |
| 114 | + param_strs = map(format_param, lr.param) |
| 115 | + if max(map(len, param_strs)) > 0: |
| 116 | + param_str = '({})'.format(', '.join(param_strs)) |
| 117 | + else: |
| 118 | + param_str = '' |
| 119 | + else: |
| 120 | + param_str = '' |
| 121 | + |
| 122 | + table.append([lr.name, type_str, param_str, bottom_str, '->', top_str, |
| 123 | + arg_str]) |
| 124 | + return table |
| 125 | + |
| 126 | +def main(): |
| 127 | + parser = argparse.ArgumentParser(description="Print a concise summary of net computation.") |
| 128 | + parser.add_argument('filename', help='net prototxt file to summarize') |
| 129 | + parser.add_argument('-w', '--max-width', help='maximum field width', |
| 130 | + type=int, default=30) |
| 131 | + args = parser.parse_args() |
| 132 | + |
| 133 | + net = read_net(args.filename) |
| 134 | + table = summarize_net(net) |
| 135 | + print_table(table, max_width=args.max_width) |
| 136 | + |
| 137 | +if __name__ == '__main__': |
| 138 | + main() |
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