LostTech.TensorFlow : API Documentation

Type backend

Namespace tensorflow.python.keras.backend

Methods

Properties

Public static methods

object cast_variables_to_tensor(Variable tensors)

object cast_variables_to_tensor(IEnumerable<object> tensors)

object cast_variables_to_tensor(IDictionary<object, IGraphNodeBase> tensors)

object cast_variables_to_tensor_dyn(object tensors)

void configure_and_create_distributed_session(object distribution_strategy)

object configure_and_create_distributed_session_dyn(object distribution_strategy)

Tensor conv3d_transpose(object x, object kernel, ValueTuple<object, IEnumerable<object>> output_shape, ValueTuple<int, object, object> strides, string padding, object data_format)

object conv3d_transpose_dyn(object x, object kernel, object output_shape, ImplicitContainer<T> strides, ImplicitContainer<T> padding, object data_format)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ImplicitContainer<T> strides, string padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ValueTuple<int, object> strides, string padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ValueTuple<int, object> strides, string padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ImplicitContainer<T> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ImplicitContainer<T> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ImplicitContainer<T> strides, string padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ValueTuple<int, object> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ValueTuple<int, object> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ValueTuple<int, object> strides, string padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ValueTuple<int, object> strides, string padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ImplicitContainer<T> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ImplicitContainer<T> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ImplicitContainer<T> strides, string padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d(IGraphNodeBase x, object depthwise_kernel, ImplicitContainer<T> strides, string padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ValueTuple<int, object> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ImplicitContainer<T> dilation_rate)

object depthwise_conv2d(IEnumerable<IGraphNodeBase> x, object depthwise_kernel, ValueTuple<int, object> strides, ValueTuple<IEnumerable<object>, object> padding, string data_format, ValueTuple<int, object> dilation_rate)

object depthwise_conv2d_dyn(object x, object depthwise_kernel, ImplicitContainer<T> strides, ImplicitContainer<T> padding, object data_format, ImplicitContainer<T> dilation_rate)

IContextManager<T> eager_learning_phase_scope(int value)

object eager_learning_phase_scope_dyn(object value)

Tensor freezable_variable(bool value, TensorShape shape, string name)

object freezable_variable_dyn(object value, object shape, object name)

PythonClassContainer get_default_graph_uid_map()

object get_default_graph_uid_map_dyn()

object get_graph()

object get_graph_dyn()

bool global_learning_phase_is_set()

object global_learning_phase_is_set_dyn()

Tensor identity(object x, string name)

bool is_keras_tensor(object x)

bool is_keras_tensor(IGraphNodeBase x)

bool is_keras_tensor(int x)

bool is_keras_tensor(IEnumerable<IGraphNodeBase> x)

object is_keras_tensor_dyn(object x)

bool is_placeholder(IGraphNodeBase x)

bool is_placeholder(CompositeTensor x)

object is_placeholder_dyn(object x)

bool is_tpu_strategy(object strategy)

Tensor local_conv(IEnumerable<IGraphNodeBase> inputs, ReplicatedVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(ReplicatedVariable inputs, ReplicatedVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(ReplicatedVariable inputs, ResourceVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(ReplicatedVariable inputs, IGraphNodeBase kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(ResourceVariable inputs, ReplicatedVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(ResourceVariable inputs, ResourceVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(ResourceVariable inputs, IGraphNodeBase kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(IEnumerable<IGraphNodeBase> inputs, IGraphNodeBase kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(IGraphNodeBase inputs, ReplicatedVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(IGraphNodeBase inputs, IGraphNodeBase kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(IGraphNodeBase inputs, ResourceVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

Tensor local_conv(IEnumerable<IGraphNodeBase> inputs, ResourceVariable kernel, ValueTuple<int> kernel_size, ValueTuple<int> strides, ValueTuple<object> output_shape, string data_format)

object local_conv_dyn(object inputs, object kernel, object kernel_size, object strides, object output_shape, object data_format)

object logsumexp(object x, object axis, bool keepdims)

object logsumexp_dyn(object x, object axis, ImplicitContainer<T> keepdims)

Tensor separable_conv1d(object x, object depthwise_kernel, object pointwise_kernel, int strides, string padding, object data_format, int dilation_rate)

object separable_conv1d_dyn(object x, object depthwise_kernel, object pointwise_kernel, ImplicitContainer<T> strides, ImplicitContainer<T> padding, object data_format, ImplicitContainer<T> dilation_rate)

object symbolic_learning_phase()

object symbolic_learning_phase_dyn()

void track_tf_optimizer(TFOptimizer tf_optimizer)

void track_tf_optimizer(IEnumerable<object> tf_optimizer)

object track_tf_optimizer_dyn(object tf_optimizer)

void track_variable(IEnumerable<object> v)

void track_variable(ReplicatedVariable v)

void track_variable(BaseResourceVariable v)

void track_variable(IGraphNodeBase v)

void track_variable(object v)

object track_variable_dyn(object v)

string unique_object_name(string name, PythonClassContainer name_uid_map, IDictionary<object, Network> avoid_names, string namespace, bool zero_based)

string unique_object_name(string name, PythonClassContainer name_uid_map, IEnumerable<object> avoid_names, string namespace, bool zero_based)

object unique_object_name_dyn(object name, object name_uid_map, object avoid_names, ImplicitContainer<T> namespace, ImplicitContainer<T> zero_based)

Public properties

PythonFunctionContainer _TfDeviceCaptureOp_fn get;

PythonFunctionContainer cast_variables_to_tensor_fn get;

PythonFunctionContainer configure_and_create_distributed_session_fn get;

PythonFunctionContainer conv3d_transpose_fn get;

PythonFunctionContainer depthwise_conv2d_fn get;

PythonFunctionContainer eager_learning_phase_scope_fn get;

PythonFunctionContainer EagerExecutionFunction_fn get;

PythonClassContainer f get; set;

object f_dyn get; set;

PythonFunctionContainer freezable_variable_fn get;

PythonFunctionContainer get_default_graph_uid_map_fn get;

PythonFunctionContainer get_default_session_config_fn get;

PythonFunctionContainer get_graph_fn get;

PythonFunctionContainer global_learning_phase_is_set_fn get;

PythonFunctionContainer GraphExecutionFunction_fn get;

PythonFunctionContainer identity_fn get;

PythonFunctionContainer is_keras_tensor_fn get;

PythonFunctionContainer is_placeholder_fn get;

PythonFunctionContainer is_tpu_strategy_fn get;

PythonFunctionContainer local_conv_fn get;

PythonFunctionContainer logsumexp_fn get;

PythonClassContainer PER_GRAPH_OBJECT_NAME_UIDS get; set;

object PER_GRAPH_OBJECT_NAME_UIDS_dyn get; set;

object py_all get; set;

object py_all_dyn get; set;

object py_any get; set;

object py_any_dyn get; set;

object py_sum get; set;

object py_sum_dyn get; set;

PythonFunctionContainer separable_conv1d_fn get;

PythonFunctionContainer symbolic_learning_phase_fn get;

PythonFunctionContainer track_tf_optimizer_fn get;

PythonFunctionContainer track_variable_fn get;

PythonFunctionContainer unique_object_name_fn get;