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Python array_ops.quantize_v2方法代码示例

本文整理汇总了Python中tensorflow.python.ops.array_ops.quantize_v2方法的典型用法代码示例。如果您正苦于以下问题:Python array_ops.quantize_v2方法的具体用法?Python array_ops.quantize_v2怎么用?Python array_ops.quantize_v2使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在tensorflow.python.ops.array_ops的用法示例。


在下文中一共展示了array_ops.quantize_v2方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: quantize_weight_eightbit

# 需要导入模块: from tensorflow.python.ops import array_ops [as 别名]
# 或者: from tensorflow.python.ops.array_ops import quantize_v2 [as 别名]
def quantize_weight_eightbit(input_node, quantization_mode):
  """Returns replacement nodes for input_node using the Dequantize op."""
  base_name = input_node.name + "_"
  quint8_const_name = base_name + "quint8_const"
  min_name = base_name + "min"
  max_name = base_name + "max"
  float_tensor = tensor_util.MakeNdarray(input_node.attr["value"].tensor)
  min_value = np.min(float_tensor.flatten())
  max_value = np.max(float_tensor.flatten())
  # Make sure that the range includes zero.
  if min_value > 0.0:
    min_value = 0.0
  # min_value == max_value is a tricky case. It can occur for general
  # tensors, and of course for scalars. The quantized ops cannot deal
  # with this case, so we set max_value to something else.
  # It's a tricky question what is the numerically best solution to
  # deal with this degeneracy.
  # TODO(petewarden): Better use a tolerance than a hard comparison?
  if min_value == max_value:
    if abs(min_value) < 0.000001:
      max_value = min_value + 1.0
    elif min_value > 0:
      max_value = 2 * min_value
    else:
      max_value = min_value / 2.0

  sess = session.Session()
  with sess.as_default():
    quantize_op = array_ops.quantize_v2(
        float_tensor,
        min_value,
        max_value,
        dtypes.quint8,
        mode=quantization_mode)
    quint8_tensor = quantize_op[0].eval()
  shape = tensor_util.TensorShapeProtoToList(input_node.attr["value"]
                                             .tensor.tensor_shape)
  quint8_const_node = create_constant_node(
      quint8_const_name, quint8_tensor, dtypes.quint8, shape=shape)
  min_node = create_constant_node(min_name, min_value, dtypes.float32)
  max_node = create_constant_node(max_name, max_value, dtypes.float32)
  dequantize_node = create_node("Dequantize", input_node.name,
                                [quint8_const_name, min_name, max_name])
  set_attr_dtype(dequantize_node, "T", dtypes.quint8)
  set_attr_string(dequantize_node, "mode", quantization_mode)
  return [quint8_const_node, min_node, max_node, dequantize_node] 
开发者ID:googlecodelabs,项目名称:tensorflow-for-poets-2,代码行数:48,代码来源:quantize_graph.py


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