<li><strong>print_tensor_type</strong> (<em>bool</em>) – Print the tensor type.</li>
<li><strong>print_tensor_shape</strong> (<em>bool</em>) – Print the tensor shape.</li>
<li><strong>print_tensor_lod</strong> (<em>bool</em>) – Print the tensor lod.</li>
<li><strong>print_phase</strong> (<em>bool</em>) – Which phase to displace, including ‘forward’,
<li><strong>print_phase</strong> (<em>str</em>) – Which phase to displace, including ‘forward’,
‘backward’ and ‘both’. If set to ‘backward’ or ‘both’, will
print the gradients of input tensor.</li>
</ul>
...
...
@@ -2214,7 +2214,7 @@ and <strong>cell_t_prev</strong> not be the same or the 2nd dimensions of
Tensor variable with a single element, otherwise must be in the
range <spanclass="math">\([-rank(input), rank(input))\)</span>. If <spanclass="math">\(dim < 0\)</span>,
the dimension to reduce is <spanclass="math">\(rank + dim\)</span>.</li>
<li><strong>keep_dim</strong> (<em>bool</em>) – Whether to reserve the reduced dimension in the
<li><strong>keep_dim</strong> (<em>bool|False</em>) – Whether to reserve the reduced dimension in the
output Tensor. The result tensor will have one fewer dimension
than the <codeclass="xref py py-attr docutils literal"><spanclass="pre">input</span></code> unless <codeclass="xref py py-attr docutils literal"><spanclass="pre">keep_dim</span></code> is true.</li>
<li><strong>name</strong> (<em>str|None</em>) – A name for this layer(optional). If set None, the layer