Add 1.3 RESIZE_* tests with default values

The tests are taken from 1.2 test specs.

Fix: 152405977
Test: NNTest_static
Change-Id: I15ad10dd826ddd63476153e3982c5218947ae9c3

2 files changed, 128 insertions, 1 deletions

diff --git a/nn/runtime/test/specs/V1_3/resize_bilinear_v1_3.mod.py b/nn/runtime/test/specs/V1_3/resize_bilinear_v1_3.mod.py
index c4f9b3495..cc962f60b 100644
--- a/nn/runtime/test/specs/V1_3/resize_bilinear_v1_3.mod.py
+++ b/nn/runtime/test/specs/V1_3/resize_bilinear_v1_3.mod.py
@@ -530,3 +530,67 @@ test(
     input0_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
     output_data=[1, 2.5, 4, 7, 8.5, 10, 13, 14.5, 16],
 )
+
+# Test from version 1.2 to test default arguments removal
+i2 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
+o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 2}")
+layout = BoolScalar("layout", False)  # NHWC
+align_corners = BoolScalar("align_corners", False)
+half_pixel_centers = BoolScalar("half_pixel_centers", False)
+model_shape = Model("shape").Operation("RESIZE_BILINEAR", i2, 3, 3, layout,
+                                       align_corners, half_pixel_centers).To(o2)
+model_scale = Model("scale").Operation("RESIZE_BILINEAR", i2, 1.6, 1.6, layout,
+                                       align_corners, half_pixel_centers).To(o2)
+
+# Additional data type
+quant8 = DataTypeConverter().Identify({
+    i2: ("TENSOR_QUANT8_ASYMM", 0.25, 0),
+    o2: ("TENSOR_QUANT8_ASYMM", 0.25, 0)
+})
+
+values = {
+    i2: [3, 4, 6, 10, 9, 10, 12, 16],
+    o2: [3, 4, 5, 8, 6, 10, 7, 8, 9, 12, 10, 14, 9, 10, 11, 14, 12, 16]
+}
+
+# Instantiate an example
+Example(
+    values, model=model_shape,
+    name="default_values").AddNchw(i2, o2, layout).AddVariations(
+        "relaxed", "float16", quant8)
+Example(
+    values, model=model_scale,
+    name="default_values").AddNchw(i2, o2, layout).AddVariations(
+        "relaxed", "float16", quant8)
+
+Example.SetVersion(
+    "V1_2",
+    "resize_bilinear_v1_3_scale_default_values_nchw",
+    "resize_bilinear_v1_3_scale_default_values_nchw_all_inputs_as_internal",
+    "resize_bilinear_v1_3_scale_default_values_nchw_float16",
+    "resize_bilinear_v1_3_scale_default_values_nchw_float16_all_inputs_as_internal",
+    "resize_bilinear_v1_3_scale_default_values_nchw_quant8",
+    "resize_bilinear_v1_3_scale_default_values_nchw_quant8_all_inputs_as_internal",
+    "resize_bilinear_v1_3_scale_default_values_nhwc",
+    "resize_bilinear_v1_3_scale_default_values_nhwc_all_inputs_as_internal",
+    "resize_bilinear_v1_3_scale_default_values_nhwc_float16",
+    "resize_bilinear_v1_3_scale_default_values_nhwc_float16_all_inputs_as_internal",
+    "resize_bilinear_v1_3_scale_default_values_nhwc_quant8",
+    "resize_bilinear_v1_3_scale_default_values_nhwc_quant8_all_inputs_as_internal",
+    "resize_bilinear_v1_3_shape_default_values_nchw",
+    "resize_bilinear_v1_3_shape_default_values_nchw_all_inputs_as_internal",
+    "resize_bilinear_v1_3_shape_default_values_nchw_float16",
+    "resize_bilinear_v1_3_shape_default_values_nchw_float16_all_inputs_as_internal",
+    "resize_bilinear_v1_3_shape_default_values_nchw_quant8",
+    "resize_bilinear_v1_3_shape_default_values_nchw_quant8_all_inputs_as_internal",
+    "resize_bilinear_v1_3_shape_default_values_nhwc_float16",
+    "resize_bilinear_v1_3_shape_default_values_nhwc_float16_all_inputs_as_internal",
+    "resize_bilinear_v1_3_shape_default_values_nhwc_quant8",
+    "resize_bilinear_v1_3_shape_default_values_nhwc_quant8_all_inputs_as_internal",
+)
+
+Example.SetVersion(
+    "V1_0",
+    "resize_bilinear_v1_3_shape_default_values_nhwc",
+    "resize_bilinear_v1_3_shape_default_values_nhwc_all_inputs_as_internal",
+)
diff --git a/nn/runtime/test/specs/V1_3/resize_nearest_neighbor_v1_3.mod.py b/nn/runtime/test/specs/V1_3/resize_nearest_neighbor_v1_3.mod.py
index 2080e2223..496408774 100644
--- a/nn/runtime/test/specs/V1_3/resize_nearest_neighbor_v1_3.mod.py
+++ b/nn/runtime/test/specs/V1_3/resize_nearest_neighbor_v1_3.mod.py
@@ -190,7 +190,7 @@ test(
     half_pixel_centers=BoolScalar("half_pixel_centers", False),
     output0=Output("output0", "TENSOR_FLOAT32", "{1, 3, 3, 1}"),
     input0_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
-    output_data=[1,  3,  4, 9, 11, 12, 13, 15, 16],
+    output_data=[1, 3, 4, 9, 11, 12, 13, 15, 16],
 )
 
 test(
@@ -205,3 +205,66 @@ test(
     input0_data=[1, 2, 3, 4],
     output_data=[1],
 )
+
+# Test from version 1.2 to test default arguments removal
+i1 = Input("in", "TENSOR_FLOAT32", "{2, 2, 2, 2}")
+o1 = Output("out", "TENSOR_FLOAT32", "{2, 3, 3, 2}")
+layout = BoolScalar("layout", False)  # NHWC
+align_corners = BoolScalar("align_corners", False)
+half_pixel_centers = BoolScalar("half_pixel_centers", False)
+model_shape = Model("shape").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 3, 3,
+                                       layout, align_corners,
+                                       half_pixel_centers).To(o1)
+model_scale = Model("scale").Operation("RESIZE_NEAREST_NEIGHBOR", i1, 1.6, 1.8,
+                                       layout, align_corners,
+                                       half_pixel_centers).To(o1)
+
+quant8 = DataTypeConverter().Identify({
+    i1: ("TENSOR_QUANT8_ASYMM", 0.25, 100),
+    o1: ("TENSOR_QUANT8_ASYMM", 0.25, 100)
+})
+
+values = {
+    i1: [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8],
+    o1: [
+        1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 3, 3, 3, 3, 4, 4, 5, 5, 5, 5, 6, 6,
+        5, 5, 5, 5, 6, 6, 7, 7, 7, 7, 8, 8
+    ]
+}
+
+Example(
+    values, model=model_shape,
+    name="default_values").AddNchw(i1, o1, layout).AddVariations(
+        "relaxed", quant8, "float16")
+Example(
+    values, model=model_scale,
+    name="default_values").AddNchw(i1, o1, layout).AddVariations(
+        "relaxed", quant8, "float16")
+
+Example.SetVersion(
+    "V1_2",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nchw",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nchw_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nchw_float16",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nchw_float16_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nchw_quant8",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nchw_quant8_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nhwc",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nhwc_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nhwc_float16",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nhwc_float16_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nhwc_quant8",
+    "resize_nearest_neighbor_v1_3_scale_default_values_nhwc_quant8_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nchw",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nchw_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nchw_float16",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nchw_float16_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nchw_quant8",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nchw_quant8_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nhwc",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nhwc_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nhwc_float16",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nhwc_float16_all_inputs_as_internal",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nhwc_quant8",
+    "resize_nearest_neighbor_v1_3_shape_default_values_nhwc_quant8_all_inputs_as_internal",
+)