python-tensorflowHow can I access the 'inputs' attribute in the 'tensorflow_estimator.python.estimator.api._v2.estimator' module?
The inputs
attribute in the tensorflow_estimator.python.estimator.api._v2.estimator
module can be accessed by creating an instance of the tf.estimator.Estimator
class. This class takes in a model function that defines the model's architecture, as well as a set of tf.estimator.RunConfig
objects that define the runtime environment for the estimator. The inputs
attribute can then be accessed by calling the inputs
method on the tf.estimator.Estimator
instance.
Example code
import tensorflow as tf
def my_model_fn(features, labels, mode):
# define model architecture
pass
run_config = tf.estimator.RunConfig(model_dir='/tmp/model_dir')
estimator = tf.estimator.Estimator(model_fn=my_model_fn, config=run_config)
inputs = estimator.inputs
Code explanation
import tensorflow as tf
: imports the TensorFlow library into the current Python environment.def my_model_fn(features, labels, mode):
: defines a model function that takes in feature data, label data, and a mode (train, evaluate, or predict) as input arguments.run_config = tf.estimator.RunConfig(model_dir='/tmp/model_dir')
: creates atf.estimator.RunConfig
object that defines the runtime environment for the estimator.estimator = tf.estimator.Estimator(model_fn=my_model_fn, config=run_config)
: creates an instance of thetf.estimator.Estimator
class using the model function and runtime environment defined above.inputs = estimator.inputs
: accesses theinputs
attribute of thetf.estimator.Estimator
instance.
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