Type v2
Namespace tensorflow.compat.v2
Methods
- argmax
- argmax
- argmax_dyn
- argmin
- argmin
- argmin_dyn
- batch_to_space
- batch_to_space_dyn
- boolean_mask
- boolean_mask_dyn
- case
- cond
- cond_dyn
- constant
- constant
- constant_dyn
- convert_to_tensor
- convert_to_tensor
- convert_to_tensor
- convert_to_tensor
- convert_to_tensor
- convert_to_tensor
- convert_to_tensor_dyn
- expand_dims
- expand_dims
- expand_dims
- expand_dims_dyn
- gather
- gather_dyn
- gather_nd
- gather_nd_dyn
- gradients
- gradients_dyn
- hessians
- hessians_dyn
- norm
- norm_dyn
- ones_like
- ones_like_dyn
- pad
- pad_dyn
- reduce_all
- reduce_all
- reduce_all
- reduce_all
- reduce_all
- reduce_all
- reduce_all_dyn
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any
- reduce_any_dyn
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp
- reduce_logsumexp_dyn
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max
- reduce_max_dyn
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean
- reduce_mean_dyn
- reduce_min
- reduce_min
- reduce_min
- reduce_min
- reduce_min
- reduce_min
- reduce_min_dyn
- reduce_prod
- reduce_prod
- reduce_prod
- reduce_prod
- reduce_prod
- reduce_prod
- reduce_prod_dyn
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum
- reduce_sum_dyn
- reverse_sequence
- reverse_sequence_dyn
- scalar_mul
- shape
- shape
- shape
- shape
- shape
- shape
- shape_dyn
- size
- size_dyn
- space_to_batch
- space_to_batch_dyn
- squeeze
- squeeze_dyn
- transpose
- tuple
- while_loop
- while_loop
- while_loop_dyn
- zeros_like
- zeros_like_dyn
Properties
- argmax_fn_
- argmin_fn_
- batch_to_space_fn_
- boolean_mask_fn_
- case_fn_
- cond_fn_
- constant_fn
- convert_to_tensor_fn_
- device_fn_
- expand_dims_fn_
- gather_fn_
- gather_nd_fn_
- gradients_fn_
- hessians_fn_
- norm_fn_
- ones_like_fn_
- pad_fn_
- reduce_all_fn
- reduce_any_fn
- reduce_logsumexp_fn
- reduce_max_fn
- reduce_mean_fn
- reduce_min_fn
- reduce_prod_fn
- reduce_sum_fn
- reverse_sequence_fn_
- scalar_mul_fn_
- shape_fn_
- size_fn_
- space_to_batch_fn_
- squeeze_fn_
- transpose_fn_
- tuple_fn_
- while_loop_fn_
- zeros_like_fn_
Public static methods
Tensor argmax(IGraphNodeBase input, IGraphNodeBase axis, ImplicitContainer<T> output_type, string name)
Tensor argmax(IGraphNodeBase input, IGraphNodeBase axis, ndarray output_type, string name)
object argmax_dyn(object input, object axis, ImplicitContainer<T> output_type, object name)
Tensor argmin(IGraphNodeBase input, IGraphNodeBase axis, ndarray output_type, string name)
Tensor argmin(IGraphNodeBase input, IGraphNodeBase axis, ImplicitContainer<T> output_type, string name)
object argmin_dyn(object input, object axis, ImplicitContainer<T> output_type, object name)
Tensor batch_to_space(IGraphNodeBase input, IGraphNodeBase block_shape, IGraphNodeBase crops, string name)
object batch_to_space_dyn(object input, object block_shape, object crops, object name)
object boolean_mask(IGraphNodeBase tensor, IGraphNodeBase mask, object axis, string name)
object boolean_mask_dyn(object tensor, object mask, object axis, ImplicitContainer<T> name)
object case(object pred_fn_pairs, object default, bool exclusive, bool strict, string name)
object cond(object pred, PythonFunctionContainer true_fn, PythonFunctionContainer false_fn, string name)
object cond_dyn(object pred, object true_fn, object false_fn, object name)
Tensor constant(object value, PythonClassContainer dtype, TensorShape shape, string name)
Tensor constant(object value, DType dtype, TensorShape shape, string name)
object constant_dyn(object value, object dtype, object shape, ImplicitContainer<T> name)
Tensor convert_to_tensor(object value, PythonClassContainer dtype, DType dtype_hint, string name)
Tensor convert_to_tensor(IEnumerable<IGraphNodeBase> value, PythonClassContainer dtype, DType dtype_hint, string name)
Tensor convert_to_tensor(IEnumerable<IGraphNodeBase> value, DType dtype, DType dtype_hint, string name)
Tensor convert_to_tensor(PythonFunctionContainer value, PythonClassContainer dtype, DType dtype_hint, string name)
Tensor convert_to_tensor(PythonFunctionContainer value, DType dtype, DType dtype_hint, string name)
object convert_to_tensor_dyn(object value, object dtype, object dtype_hint, object name)
Tensor expand_dims(IGraphNodeBase input, IEnumerable<int> axis, string name)
Tensor expand_dims(IGraphNodeBase input, int axis, string name)
Tensor expand_dims(IGraphNodeBase input, IGraphNodeBase axis, string name)
object expand_dims_dyn(object input, object axis, object name)
Inserts a dimension of 1 into a tensor's shape. Given a tensor `sp_input`, this operation inserts a dimension of 1 at the
dimension index `axis` of `sp_input`'s shape. The dimension index `axis`
starts at zero; if you specify a negative number for `axis` it is counted
backwards from the end.
Parameters
-
object
input -
object
axis - 0-D (scalar). Specifies the dimension index at which to expand the shape of `input`. Must be in the range `[-rank(sp_input) - 1, rank(sp_input)]`.
-
object
name - The name of the output `SparseTensor`.
Returns
-
object
- A `SparseTensor` with the same data as `sp_input`, but its shape has an additional dimension of size 1 added.
Tensor gather(object params, object indices, object validate_indices, object axis, int batch_dims, string name)
object gather_dyn(object params, object indices, object validate_indices, object axis, ImplicitContainer<T> batch_dims, object name)
Tensor gather_nd(object params, object indices, int batch_dims, string name)
object gather_nd_dyn(object params, object indices, ImplicitContainer<T> batch_dims, object name)
IList<Tensor> gradients(object ys, object xs, object grad_ys, string name, bool gate_gradients, object aggregation_method, object stop_gradients, ImplicitContainer<T> unconnected_gradients)
object gradients_dyn(object ys, object xs, object grad_ys, ImplicitContainer<T> name, ImplicitContainer<T> gate_gradients, object aggregation_method, object stop_gradients, ImplicitContainer<T> unconnected_gradients)
IList<Tensor> hessians(object ys, object xs, bool gate_gradients, object aggregation_method, string name)
object hessians_dyn(object ys, object xs, ImplicitContainer<T> gate_gradients, object aggregation_method, ImplicitContainer<T> name)
object norm(object tensor, string ord, object axis, object keepdims, string name)
object norm_dyn(object tensor, ImplicitContainer<T> ord, object axis, object keepdims, object name)
Tensor ones_like(IGraphNodeBase input, DType dtype, string name)
Instantiates an all-ones variable of the same shape as another tensor.
Parameters
-
IGraphNodeBase
input -
DType
dtype - String, dtype of returned Keras variable. None uses the dtype of x.
-
string
name - String, name for the variable to create.
Returns
-
Tensor
- A Keras variable with the shape of x filled with ones. Example: ```python >>> from keras import backend as K >>> kvar = K.variable(np.random.random((2,3))) >>> kvar_ones = K.ones_like(kvar) >>> K.eval(kvar_ones) array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) ```
object ones_like_dyn(object input, object dtype, object name)
Instantiates an all-ones variable of the same shape as another tensor.
Parameters
-
object
input -
object
dtype - String, dtype of returned Keras variable. None uses the dtype of x.
-
object
name - String, name for the variable to create.
Returns
-
object
- A Keras variable with the shape of x filled with ones. Example: ```python >>> from keras import backend as K >>> kvar = K.variable(np.random.random((2,3))) >>> kvar_ones = K.ones_like(kvar) >>> K.eval(kvar_ones) array([[ 1., 1., 1.], [ 1., 1., 1.]], dtype=float32) ```
Tensor pad(IGraphNodeBase tensor, IGraphNodeBase paddings, string mode, int constant_values, string name)
object pad_dyn(object tensor, object paddings, ImplicitContainer<T> mode, ImplicitContainer<T> constant_values, object name)
Tensor reduce_all(IEnumerable<object> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_all(IEnumerable<object> input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_all(IEnumerable<object> input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_all(object input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_all(object input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_all(object input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
object reduce_all_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reduce_any(ValueTuple<PythonClassContainer, PythonClassContainer> input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IGraphNodeBase input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IEnumerable<bool> input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IEnumerator<bool> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(ValueTuple<PythonClassContainer, PythonClassContainer> input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IEnumerator<bool> input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IEnumerator<bool> input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IEnumerable<bool> input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(ValueTuple<PythonClassContainer, PythonClassContainer> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IGraphNodeBase input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IGraphNodeBase input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(bool input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(bool input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(bool input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IndexedSlices input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IndexedSlices input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IEnumerable<bool> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_any(IndexedSlices input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_any_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
object reduce_logsumexp(double input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(double input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(ValueTuple<PythonClassContainer, PythonClassContainer> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(IEnumerable<object> input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(ValueTuple<PythonClassContainer, PythonClassContainer> input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(IGraphNodeBase input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(IGraphNodeBase input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp(IEnumerable<object> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
object reduce_logsumexp_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reduce_max(object input_tensor, ValueTuple<object, IEnumerable<object>> axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(object input_tensor, IEnumerable<object> axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(IEnumerable<object> input_tensor, object axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(IEnumerable<object> input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(IEnumerable<object> input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(IEnumerable<object> input_tensor, ValueTuple<object, IEnumerable<object>> axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(IEnumerable<object> input_tensor, IEnumerable<object> axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(IEnumerable<object> input_tensor, ndarray axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(object input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(object input_tensor, object axis, Nullable<bool> keepdims, string name)
Tensor reduce_max(object input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_max_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reduce_mean(object input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(object input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(object input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(PythonClassContainer input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(PythonClassContainer input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(PythonClassContainer input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(IEnumerable<IGraphNodeBase> input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(IEnumerable<IGraphNodeBase> input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_mean(IEnumerable<IGraphNodeBase> input_tensor, IEnumerable<int> axis, Nullable<bool> keepdims, string name)
object reduce_mean_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reduce_min(object input_tensor, object axis, Nullable<bool> keepdims, string name)
Tensor reduce_min(object input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_min(object input_tensor, ValueTuple<object, IEnumerable<object>> axis, Nullable<bool> keepdims, string name)
Tensor reduce_min(object input_tensor, IEnumerable<object> axis, Nullable<bool> keepdims, string name)
Tensor reduce_min(object input_tensor, int axis, Nullable<bool> keepdims, string name)
object reduce_min_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reduce_prod(object input_tensor, IEnumerable<object> axis, Nullable<bool> keepdims, string name)
Tensor reduce_prod(object input_tensor, ValueTuple<object, IEnumerable<object>> axis, Nullable<bool> keepdims, string name)
Tensor reduce_prod(object input_tensor, int axis, Nullable<bool> keepdims, string name)
Tensor reduce_prod(object input_tensor, IGraphNodeBase axis, Nullable<bool> keepdims, string name)
Tensor reduce_prod(object input_tensor, object axis, Nullable<bool> keepdims, string name)
object reduce_prod_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reduce_sum(object input_tensor, PythonClassContainer axis, Nullable<bool> keepdims, string name)
Tensor reduce_sum(object input_tensor, object axis, Nullable<bool> keepdims, string name)
Tensor reduce_sum(PythonClassContainer input_tensor, object axis, Nullable<bool> keepdims, string name)
Tensor reduce_sum(PythonClassContainer input_tensor, object axis, Nullable<bool> keepdims, PythonFunctionContainer name)
Tensor reduce_sum(PythonClassContainer input_tensor, PythonClassContainer axis, Nullable<bool> keepdims, string name)
Tensor reduce_sum(IEnumerable<object> input_tensor, PythonClassContainer axis, Nullable<bool> keepdims, PythonFunctionContainer name)
Tensor reduce_sum(object input_tensor, object axis, Nullable<bool> keepdims, PythonFunctionContainer name)
Tensor reduce_sum(IEnumerable<IGraphNodeBase> input_tensor, object axis, Nullable<bool> keepdims, string name)
Tensor reduce_sum(IEnumerable<IGraphNodeBase> input_tensor, object axis, Nullable<bool> keepdims, PythonFunctionContainer name)
Tensor reduce_sum(IEnumerable<IGraphNodeBase> input_tensor, PythonClassContainer axis, Nullable<bool> keepdims, string name)
Tensor reduce_sum(PythonClassContainer input_tensor, PythonClassContainer axis, Nullable<bool> keepdims, PythonFunctionContainer name)
Tensor reduce_sum(object input_tensor, PythonClassContainer axis, Nullable<bool> keepdims, PythonFunctionContainer name)
object reduce_sum_dyn(object input_tensor, object axis, ImplicitContainer<T> keepdims, object name)
Tensor reverse_sequence(IGraphNodeBase input, object seq_lengths, Nullable<int> seq_axis, Nullable<int> batch_axis, string name)
object reverse_sequence_dyn(object input, object seq_lengths, object seq_axis, object batch_axis, object name)
object scalar_mul(object scalar, object x, string name)
Tensor shape(ValueTuple<PythonClassContainer, PythonClassContainer> input, ImplicitContainer<T> out_type, string name)
Tensor shape(string input, ImplicitContainer<T> out_type, string name)
Tensor shape(object input, ImplicitContainer<T> out_type, string name)
Tensor shape(IGraphNodeBase input, ImplicitContainer<T> out_type, string name)
Tensor shape(IndexedSlices input, ImplicitContainer<T> out_type, string name)
Tensor shape(IEnumerable<int> input, ImplicitContainer<T> out_type, string name)
object shape_dyn(object input, ImplicitContainer<T> out_type, object name)
Tensor size(object input, ImplicitContainer<T> out_type, string name)
object size_dyn(object input, ImplicitContainer<T> out_type, object name)
Tensor space_to_batch(object input, object block_shape, object paddings, string name)
object space_to_batch_dyn(object input, object block_shape, object paddings, object name)
Tensor squeeze(IGraphNodeBase input, object axis, string name)
object squeeze_dyn(object input, object axis, object name)
Tensor transpose(IGraphNodeBase a, object perm, bool conjugate, string name)
IList<object> tuple(object tensors, object control_inputs, string name)
object while_loop(object cond, object body, ValueTuple<int, IGraphNodeBase> loop_vars, object shape_invariants, int parallel_iterations, bool back_prop, bool swap_memory, object maximum_iterations, string name)
object while_loop(object cond, object body, IEnumerable<object> loop_vars, object shape_invariants, int parallel_iterations, bool back_prop, bool swap_memory, object maximum_iterations, string name)
object while_loop_dyn(object cond, object body, object loop_vars, object shape_invariants, ImplicitContainer<T> parallel_iterations, ImplicitContainer<T> back_prop, ImplicitContainer<T> swap_memory, object maximum_iterations, object name)
Tensor zeros_like(IGraphNodeBase input, DType dtype, string name)
Instantiates an all-zeros variable of the same shape as another tensor.
Parameters
-
IGraphNodeBase
input -
DType
dtype - dtype of returned Keras variable. `None` uses the dtype of `x`.
-
string
name - name for the variable to create.
Returns
-
Tensor
- A Keras variable with the shape of `x` filled with zeros. Example: ```python from tensorflow.keras import backend as K kvar = K.variable(np.random.random((2,3))) kvar_zeros = K.zeros_like(kvar) K.eval(kvar_zeros) # array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) ```
object zeros_like_dyn(object input, object dtype, object name)
Instantiates an all-zeros variable of the same shape as another tensor.
Parameters
-
object
input -
object
dtype - dtype of returned Keras variable. `None` uses the dtype of `x`.
-
object
name - name for the variable to create.
Returns
-
object
- A Keras variable with the shape of `x` filled with zeros. Example: ```python from tensorflow.keras import backend as K kvar = K.variable(np.random.random((2,3))) kvar_zeros = K.zeros_like(kvar) K.eval(kvar_zeros) # array([[ 0., 0., 0.], [ 0., 0., 0.]], dtype=float32) ```