Python Load Examples

Example #1

File: tensor_forest.py Project: zhongtao93/tensorflow

 def __init__(self, params):
     self.params = params
     self.variables = ForestTrainingVariables(self.params)
     self.trees = [
         RandomTreeGraphs(self.variables[i], self.params,
                          training_ops.Load(), inference_ops.Load())
         for i in range(self.params.num_trees)
     ]

Example #2

File: tensor_forest.py Project: StryxZilla/tensor

 def __init__(self, params, device_assigner=None, variables=None):
     self.params = params
     self.device_assigner = device_assigner or RandomForestDeviceAssigner()
     tf.logging.info('Constructing forest with params = ')
     tf.logging.info(self.params.__dict__)
     self.variables = variables or ForestTrainingVariables(
         self.params, device_assigner=self.device_assigner)
     self.trees = [
         RandomTreeGraphs(self.variables[i], self.params,
                          training_ops.Load(), inference_ops.Load())
         for i in range(self.params.num_trees)
     ]

Example #3

File: tree_predictions_op_test.py Project: michaelasapp/python-mcparseface

 def setUp(self):
     self.ops = inference_ops.Load()

Example #4

File: tree_predictions_op_test.py Project: umunusb1/AIBotTensorFLow

 def setUp(self):
   self.ops = inference_ops.Load()
   self.data_spec = [constants.DATA_FLOAT] * 2