public IEnumerable <int> steps()
{
_current_step = 0;
while (_current_step < _inferred_steps)
{
if (_insufficient_data)
{
break;
}
bool can_run_full_execution = _steps_per_execution_value == 1 ||
_inferred_steps < 0 ||
_inferred_steps - _current_step >= _steps_per_execution_value;
if (can_run_full_execution)
{
_step_increment = _steps_per_execution_value - 1;
yield return(_current_step);
_current_step += _steps_per_execution_value;
}
else
{
var steps_remaining = _inferred_steps - _current_step;
_steps_per_execution.assign(steps_remaining);
_step_increment = steps_remaining - 1;
yield return(_current_step);
_current_step += steps_remaining;
_steps_per_execution.assign(_steps_per_execution_value);
}
}
}
public static Tensor assign(IVariableV1 @ref, object value,
bool validate_shape = true,
bool use_locking = true,
string name = null)
{
if (@ref.dtype.is_ref_dtype())
{
return(gen_state_ops.assign(@ref,
value,
validate_shape: validate_shape,
use_locking: use_locking,
name: name));
}
else
{
return(@ref.assign(value, name: name));
}
}
void AssignVariable(IVariableV1 v)
{
using var tensor = tf.constant(1984f);
v.assign(tensor);
}