dnn_testing_utils_v1 - LostTech.TensorFlow Documentation

Type dnn_testing_utils_v1

Namespace tensorflow_estimator.python.estimator.canned.v1.dnn_testing_utils_v1

Methods

Properties

Fields

Public static methods

object assert_close(IEnumerable<object> expected, object actual, double rtol, string message, string name)

object assert_close(IGraphNodeBase expected, object actual, double rtol, string message, string name)

object assert_close_dyn(object expected, object actual, ImplicitContainer<T> rtol, ImplicitContainer<T> message, ImplicitContainer<T> name)

void create_checkpoint(ValueTuple<object, object, object> weights_and_biases, int global_step, Byte[] model_dir, Nullable<ValueTuple<IEnumerable<object>>> batch_norm_vars)

void create_checkpoint(ValueTuple<object, object, object> weights_and_biases, int global_step, string model_dir, Nullable<ValueTuple<IEnumerable<object>>> batch_norm_vars)

object create_checkpoint_dyn(object weights_and_biases, object global_step, object model_dir, object batch_norm_vars)

object mock_head(BaseDNNModelFnTest testcase, ValueTuple<int, object> hidden_units, int logits_dimension, IEnumerable<object> expected_logits)

object mock_head_dyn(object testcase, object hidden_units, object logits_dimension, object expected_logits)

object mock_optimizer(BaseDNNClassifierTrainTest testcase, ValueTuple<int, object> hidden_units, Nullable<double> expected_loss)

object mock_optimizer(BaseDNNModelFnTest testcase, ValueTuple<int, object> hidden_units, Nullable<double> expected_loss)

object mock_optimizer(BaseDNNRegressorTrainTest testcase, ValueTuple<int, object> hidden_units, Nullable<double> expected_loss)

object mock_optimizer_dyn(object testcase, object hidden_units, object expected_loss)

Public properties

PythonFunctionContainer _SummaryHook_fn get;

PythonFunctionContainer assert_close_fn get;

PythonFunctionContainer BaseDNNClassifierEvaluateTest_fn get;

PythonFunctionContainer BaseDNNClassifierPredictTest_fn get;

PythonFunctionContainer BaseDNNClassifierTrainTest_fn get;

PythonFunctionContainer BaseDNNLogitFnTest_fn get;

PythonFunctionContainer BaseDNNModelFnTest_fn get;

PythonFunctionContainer BaseDNNRegressorEvaluateTest_fn get;

PythonFunctionContainer BaseDNNRegressorPredictTest_fn get;

PythonFunctionContainer BaseDNNRegressorTrainTest_fn get;

PythonFunctionContainer BaseDNNWarmStartingTest_fn get;

PythonFunctionContainer create_checkpoint_fn get;

PythonFunctionContainer mock_head_fn get;

PythonFunctionContainer mock_optimizer_fn get;

Public fields

string HIDDEN_BIASES_NAME_PATTERN

return string

string LEARNING_RATE_NAME

return string

string LOGITS_BIASES_NAME

return string

string BATCH_NORM_GAMMA_NAME_PATTERN

return string

string CITY_EMBEDDING_NAME

return string

string BATCH_NORM_VARIANCE_NAME_PATTERN

return string

string BATCH_NORM_MEAN_NAME_PATTERN

return string

string BATCH_NORM_BETA_NAME_PATTERN

return string

string OCCUPATION_EMBEDDING_NAME

return string

string HIDDEN_WEIGHTS_NAME_PATTERN

return string

string LOGITS_WEIGHTS_NAME

return string