MaxRoiPool

Description

The ROI max pool consumes an input tensorX and a region of interest (ROI) to apply the max pool on each ROI to produce the output 4-D shape tensor (num_roi, channels, pooled_shape[0], pooled_shape[1]).

Input

Two inputs:

x: tensor of type float16.

rois: tensor of type float16.

Output

One output:

y: tensor of type float16.

Property

pooled_shape: list of ints.

spatial_scale: float. Defaults to 1.0.

Constraints

The atc tool does not support the input of the float type when the --precision_mode=must_keep_origin_dtype parameter is used.

ONNX Opset Support

Opset v8/v9/v10/v11/v12/v13/v14/v15/v16