public static TensorArray build_ta_with_new_flow(_GraphTensorArray old_ta, Tensor flow)
{
var new_ta = tf.TensorArray(
dtype: old_ta.dtype,
infer_shape: old_ta.infer_shape,
colocate_with_first_write_call: old_ta.colocate_with_first_write_call);
return(new_ta);
}
public TensorArray(TF_DataType dtype, Tensor size = default, bool?clear_after_read = null, bool?dynamic_size = null,
string tensor_array_name = null, Tensor handle = null, Tensor flow = null,
bool infer_shape = true, TensorShape element_shape = null,
bool colocate_with_first_write_call = true, string name = null)
{
_implementation = new _GraphTensorArray(dtype,
size: size,
dynamic_size: dynamic_size,
clear_after_read: clear_after_read,
tensor_array_name: tensor_array_name,
handle: handle,
flow: flow,
infer_shape: infer_shape,
element_shape: element_shape,
colocate_with_first_write_call: colocate_with_first_write_call,
name: name);
}
public static TensorArray build_ta_with_new_flow(_GraphTensorArray old_ta, Tensor flow)
{
var impl = old_ta;
var new_ta = new TensorArray(
dtype: impl.dtype,
handle: impl.handle,
flow: flow,
infer_shape: impl.infer_shape,
colocate_with_first_write_call: impl.colocate_with_first_write_call);
var new_impl = new_ta._implementation;
new_impl._dynamic_size = impl._dynamic_size;
new_impl._colocate_with = impl._colocate_with;
new_impl._element_shape = impl._element_shape;
return(new_ta);
}
