Support tf ResizeArea op. (#2241)

* Support ResizeArea op.

Signed-off-by: Jay Zhang <[email protected]>

---------

Signed-off-by: Jay Zhang <[email protected]>

Author: fatcat-z

support_status.md

@@ -181,6 +181,7 @@
 | Relu | 1 ~ 18 |
 | Relu6 | 1 ~ 18 |
 | Reshape | 1 ~ 18 |
+| ResizeArea | 7 ~ 18 |
 | ResizeBicubic | 7 ~ 18 |
 | ResizeBilinear | 7 ~ 18 |
 | ResizeNearestNeighbor | 7 ~ 18 |

tests/test_backend.py

@@ -66,6 +66,7 @@
     quantize_and_dequantize = tf.quantization.quantize_and_dequantize
     resize_bilinear = tf.compat.v1.image.resize_bilinear
     resize_bilinear_v2 = tf.compat.v2.image.resize
+    resize_area = tf.compat.v1.image.resize_area
     is_nan = tf.math.is_nan
     is_inf = tf.math.is_inf
     floormod = tf.math.floormod
@@ -84,6 +85,7 @@
     fused_batch_norm = tf.compat.v1.nn.fused_batch_norm
     dropout = tf.compat.v1.nn.dropout
     quantize_and_dequantize = tf.compat.v1.quantization.quantize_and_dequantize
+    resize_area = tf.compat.v1.image.resize_area
     resize_nearest_neighbor = tf.compat.v1.image.resize_nearest_neighbor
     resize_bilinear = tf.compat.v1.image.resize_bilinear
     if Version(tf.__version__) >= Version("1.14"):
@@ -3285,6 +3287,31 @@ def func(x, x_new_size_):
             return tf.identity(x_, name=_TFOUTPUT)
         self._run_test_case(func, [_OUTPUT], {_INPUT: x_val, _INPUT1: x_new_size})
 
+    @skip_caffe2_backend()
+    def test_resize_area(self):
+        x_shape = [1, 15, 20, 2]
+        x_new_size = [30, 40]
+        x_val = np.arange(1, 1 + np.prod(x_shape)).astype("float32").reshape(x_shape)
+        def func(x):
+            x_new_size_ = tf.constant(x_new_size)
+            x_ = resize_area(x, x_new_size_)
+            return tf.identity(x_, name=_TFOUTPUT)
+        _ = self._run_test_case(func, [_OUTPUT], {_INPUT: x_val})
+
+    # https://github.com/microsoft/onnxruntime/issues/17564
+    @skip_onnxruntime_backend("Blocked by onnxruntime issue #17564")
+    @skip_caffe2_backend()
+    def test_resize_area_align_coreners(self):
+        x_shape = [1, 15, 20, 2]
+        x_new_size = [30, 40]
+        x_val = np.arange(1, 1 + np.prod(x_shape)).astype("float32").reshape(x_shape)
+        def func(x):
+            x_new_size_ = tf.constant(x_new_size)
+            x_ = resize_area(x, x_new_size_, align_corners=True)
+            return tf.identity(x_, name=_TFOUTPUT)
+        _ = self._run_test_case(func, [_OUTPUT], {_INPUT: x_val})
+
+
     @skip_caffe2_backend()
     @check_opset_min_version(7, "resize_bilinear")
     def test_resize_bilinear(self):

tf2onnx/onnx_opset/nn.py

@@ -1352,7 +1352,7 @@ def version_13(cls, ctx, node, **kwargs):
         cls.any_version_after11(13, ctx, node, **kwargs)
 
 
-@tf_op(["ResizeBilinear", "ResizeNearestNeighbor", "ResizeBicubic"])
+@tf_op(["ResizeBilinear", "ResizeNearestNeighbor", "ResizeBicubic", "ResizeArea"])
 class Resize:
     @classmethod
     def version_7(cls, ctx, node, **kwargs):