Question

在tf.matmul操作中，以下张量流模型转换为UFF失败：

x = tf.placeholder(tf.float32, shape=[None, 1, 1, 100], name="input_x")
y = tf.placeholder(tf.float32, shape=[None, 1, 200, 3], name="input_y")
net = layers.conv2d(x, 100, [1,1], data_format='NHWC')
net = layers.conv2d(net, 200, [1,1], data_format='NHWC')
output = tf.matmul(net, y, name="output")

错误：

Warning: No conversion function registered for layer: BatchMatMul yet.
Converting as custom op BatchMatMul output
name: "output"
op: "BatchMatMul"
input: "Conv_1/Relu"
input: "input_y"
attr {
  key: "T"
  value {
    type: DT_FLOAT
  }
}
attr {
  key: "adj_x"
  value {
    b: false
  }
}
attr {
  key: "adj_y"
  value {
    b: false
  }
}

Traceback (most recent call last):
  File "simple_mlp.py", line 69, in <module>
    tf_graph_to_uff(frozen_graph, output_name_list)
  File "simple_mlp.py", line 64, in tf_graph_to_uff
    text=True)
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/conversion_helpers.py", line 75, in     from_tensorflow
    name="main")
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 64, in     convert_tf2uff_graph
    uff_graph, input_replacements)
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 51, in     convert_tf2uff_node
    op, name, tf_node, inputs, uff_graph, tf_nodes=tf_nodes)
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 28, in     convert_layer
    fields = cls.parse_tf_attrs(tf_node.attr)
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 177, in     parse_tf_attrs
    for key, val in attrs.items()}
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 177, in <dictcomp>
    for key, val in attrs.items()}
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 172, in     parse_tf_attr_value
    return cls.convert_tf2uff_field(code, val)
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 146, in     convert_tf2uff_field
    return TensorFlowToUFFConverter.convert_tf2numpy_dtype(val)
  File "/usr/local/lib/python2.7/dist-    packages/uff/converters/tensorflow/converter.py", line 74, in     convert_tf2numpy_dtype
    return np.dtype(dt[dtype])
TypeError: list indices must be integers, not AttrValue

我的实际网络在matmul之后有更多的conv2d操作。所以我可以想到以下几个选项：

使用TensorRT c ++ API重写整个网络。（类似于sampleMNISTAPI示例）
将网络分成两个UFF文件，然后以某种方式将它们组合成一个网络。我不确定这个选项有多可行。

还有其他更好的选择吗？

对于简单的网络，Tensorflow到UFF转换失败

0 个答案: