LostTech.TensorFlow : API Documentation

Type execute

Namespace tensorflow.python.eager.execute

Methods

Properties

Public static methods

object args_to_matching_eager(IEnumerable<object> l, Context ctx, DType default_dtype)

object args_to_matching_eager_dyn(object l, object ctx, object default_dtype)

ValueTuple<IList<object>, object> args_to_mixed_eager_tensors(ValueTuple<object, object> lists, Context ctx)

object args_to_mixed_eager_tensors_dyn(object lists, object ctx)

ValueTuple<IList<object>, object> convert_to_mixed_eager_tensors(object values, Context ctx)

ValueTuple<IList<object>, object> convert_to_mixed_eager_tensors(IEnumerable<object> values, Context ctx)

object convert_to_mixed_eager_tensors_dyn(object values, object ctx)

IList<object> execute_with_callbacks(string op_name, int num_outputs, IEnumerable<object> inputs, object attrs, Context ctx, string name)

object execute_with_callbacks_dyn(object op_name, object num_outputs, object inputs, object attrs, object ctx, object name)

object execute_with_cancellation(string op_name, int num_outputs, IEnumerable<object> inputs, ValueTuple<string, object, string, object> attrs, Context ctx, object cancellation_manager, string name)

object execute_with_cancellation(string op_name, int num_outputs, IEnumerable<object> inputs, object attrs, Context ctx, object cancellation_manager, string name)

object execute_with_cancellation_dyn(object op_name, object num_outputs, object inputs, object attrs, object ctx, object cancellation_manager, object name)

object make_bool(_NumpyWrapper v, string arg_name)

object make_bool(string v, string arg_name)

object make_bool(_ArrayLike v, string arg_name)

object make_bool(ndarray v, string arg_name)

object make_bool(ValueTuple<PythonClassContainer, PythonClassContainer> v, string arg_name)

object make_bool(int v, string arg_name)

object make_bool_dyn(object v, object arg_name)

double make_float(double v, string arg_name)

double make_float(ndarray v, string arg_name)

double make_float(IEnumerable<object> v, string arg_name)

double make_float(IGraphNodeBase v, string arg_name)

double make_float(int v, string arg_name)

object make_float_dyn(object v, object arg_name)

int make_int(IEnumerable<object> v, string arg_name)

int make_int(PythonFunctionContainer v, string arg_name)

int make_int(object v, string arg_name)

object make_int_dyn(object v, object arg_name)

IList<object> make_shape(PythonFunctionContainer v, string arg_name)

IList<object> make_shape(object v, string arg_name)

object make_shape_dyn(object v, object arg_name)

Byte[] make_str(object v, string arg_name)

Byte[] make_str(PythonFunctionContainer v, string arg_name)

object make_str_dyn(object v, object arg_name)

object make_tensor(string v, string arg_name)

object make_tensor(object v, string arg_name)

object make_tensor_dyn(object v, object arg_name)

int make_type(PythonFunctionContainer v, string arg_name)

int make_type(object v, string arg_name)

object make_type_dyn(object v, object arg_name)

IList<object> quick_execute(string op_name, int num_outputs, IEnumerable<object> inputs, object attrs, Context ctx, string name)

object quick_execute_dyn(object op_name, object num_outputs, object inputs, object attrs, object ctx, object name)

object record_gradient(string unused_op_name, IEnumerable<object> unused_inputs, object unused_attrs, IEnumerable<object> unused_results, string unused_name)

object record_gradient_dyn(object unused_op_name, object unused_inputs, object unused_attrs, object unused_results, object unused_name)

Public properties

PythonFunctionContainer args_to_matching_eager_fn get;

PythonFunctionContainer args_to_mixed_eager_tensors_fn get;

PythonFunctionContainer convert_to_mixed_eager_tensors_fn get;

PythonFunctionContainer execute_with_callbacks_fn get;

PythonFunctionContainer execute_with_cancellation_fn get;

PythonFunctionContainer make_bool_fn get;

PythonFunctionContainer make_float_fn get;

PythonFunctionContainer make_int_fn get;

PythonFunctionContainer make_shape_fn get;

PythonFunctionContainer make_str_fn get;

PythonFunctionContainer make_tensor_fn get;

PythonFunctionContainer make_type_fn get;

PythonFunctionContainer quick_execute_fn get;

PythonFunctionContainer record_gradient_fn get;