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-rw-r--r--tests/nnapi/specs/skip/V1_2/heatmap_max_keypoint.mod.py193
1 files changed, 0 insertions, 193 deletions
diff --git a/tests/nnapi/specs/skip/V1_2/heatmap_max_keypoint.mod.py b/tests/nnapi/specs/skip/V1_2/heatmap_max_keypoint.mod.py
deleted file mode 100644
index 9b738112a..000000000
--- a/tests/nnapi/specs/skip/V1_2/heatmap_max_keypoint.mod.py
+++ /dev/null
@@ -1,193 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-layout = BoolScalar("layout", False) # NHWC
-
-# TEST 1: HEATMAP_MAX_KEYPOINT_1
-heatmap1 = Input("heatmap", "TENSOR_FLOAT32", "{6, 4, 4, 1}")
-boxes1 = Input("boxes", "TENSOR_FLOAT32", "{6, 4}")
-score1 = Output("score", "TENSOR_FLOAT32", "{6, 1}")
-keypoint1 = Output("keypoint", "TENSOR_FLOAT32", "{6, 1, 2}")
-Model().Operation("HEATMAP_MAX_KEYPOINT", heatmap1, boxes1, layout).To(score1, keypoint1)
-
-# Instantiate an example
-Example({
- heatmap1: [
- -10, -1, 4, -5, # batch0
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10, -1, 4, -5, # batch1 - test mirror bottom
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 10, -3, 5,
- -10, -1, 4, -5, # batch2 - test mirror left
- -8, -2, 4, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10, -1, 4, 10, # batch3 - test mirror top right
- -8, -2, 4, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10,-56, 4, -5, # batch4 - test out of range delta
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10,-57.827329175, 4, -5, # batch5 - test detA = 0
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5
- ],
- boxes1: [
- 5, 2, 10, 20,
- 1, 7, 30, 10,
- 8, 3, 15, 13,
- 6, 5, 19, 12,
- 5, 2, 10, 20,
- 5, 2, 10, 20
- ],
- score1: [
- 9.071493,
- 10.00500,
- 7.187500,
- 10.00000,
- 10.689667,
- 9.000000
- ],
- keypoint1: [
- 8.224462, 8.537316,
- 11.73000, 9.625000,
- 8.875000, 9.562500,
- 17.37500, 5.875000,
- 9.569672, 2.000000,
- 8.125000, 8.750000
- ]
-}).AddNchw(heatmap1, layout).AddVariations("relaxed", "float16")
-
-
-# TEST 2: HEATMAP_MAX_KEYPOINT_2
-heatmap2 = Input("heatmap", "TENSOR_FLOAT32", "{2, 4, 4, 4}")
-boxes2 = Input("boxes", "TENSOR_FLOAT32", "{2, 4}")
-score2 = Output("score", "TENSOR_FLOAT32", "{2, 4}")
-keypoint2 = Output("keypoint", "TENSOR_FLOAT32", "{2, 4, 2}")
-Model().Operation("HEATMAP_MAX_KEYPOINT", heatmap2, boxes2, layout).To(score2, keypoint2)
-
-quant8 = DataTypeConverter().Identify({
- heatmap2: ("TENSOR_QUANT8_ASYMM", 0.01, 128),
- boxes2: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
- score2: ("TENSOR_QUANT8_ASYMM", 0.01, 0),
- keypoint2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
-})
-
-# Instantiate an example
-Example({
- heatmap2: [
- 0.19, 0.61, 0.49, 0.01, 0.98, 0.65, 0.64, 0.70, 0.76, 0.55,
- 0.83, 0.19, 0.46, 0.03, 0.67, 0.71, 0.17, 0.23, 0.89, 0.08,
- 0.96, 0.65, 0.52, 0.40, 0.36, 0.80, 0.55, 0.89, 0.58, 0.29,
- 0.27, 0.69, 0.66, 0.06, 0.51, 0.26, 0.96, 0.38, 0.41, 0.89,
- 0.88, 0.46, 0.96, 0.73, 0.54, 0.64, 0.84, 0.74, 0.51, 0.41,
- 0.13, 0.19, 0.52, 0.21, 0.50, 0.75, 0.89, 0.89, 0.20, 0.58,
- 0.70, 0.13, 0.29, 0.39,
- 0.91, 0.06, 0.93, 0.34, 0.80, 0.87, 0.59, 0.67, 0.57, 0.85,
- 0.24, 0.25, 0.76, 0.34, 0.37, 0.11, 0.00, 0.29, 0.30, 0.77,
- 0.34, 0.57, 0.48, 0.76, 0.93, 0.18, 0.64, 0.12, 0.67, 0.47,
- 0.56, 0.50, 0.48, 0.99, 0.46, 0.66, 0.98, 0.06, 0.10, 0.66,
- 0.66, 0.91, 0.67, 0.23, 0.40, 0.37, 0.17, 0.35, 0.48, 0.98,
- 0.47, 0.49, 0.56, 0.18, 0.75, 0.29, 0.04, 0.23, 0.42, 0.55,
- 0.38, 0.07, 0.71, 0.80
- ],
- boxes2: [
- 5, 2, 10, 20,
- 1, 7, 30, 10
- ],
- score2: [
- 1.020210, 0.890556, 1.007110, 0.945129,
- 0.987798, 1.073820, 0.930000, 0.800000
- ],
- keypoint2: [
- 7.227723, 4.250000,
- 8.090278, 17.750000,
- 8.523379, 12.589181,
- 8.365580, 10.122508,
- 12.431603, 8.934225,
- 4.625000, 9.239437,
- 4.625000, 7.375000,
- 26.375000, 9.625000
- ]
-}).AddNchw(heatmap2, layout).AddVariations("relaxed", "float16", quant8)
-
-
-# TEST 3: HEATMAP_MAX_KEYPOINT_3
-heatmap3 = Input("heatmap", "TENSOR_FLOAT32", "{5, 4, 4, 1}")
-boxes3 = Input("boxes", "TENSOR_FLOAT32", "{5, 4}")
-score3 = Output("score", "TENSOR_FLOAT32", "{5, 1}")
-keypoint3 = Output("keypoint", "TENSOR_FLOAT32", "{5, 1, 2}")
-Model().Operation("HEATMAP_MAX_KEYPOINT", heatmap3, boxes3, layout).To(score3, keypoint3)
-
-quant8 = DataTypeConverter().Identify({
- heatmap3: ("TENSOR_QUANT8_ASYMM", 0.5, 128),
- boxes3: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
- score3: ("TENSOR_QUANT8_ASYMM", 0.1, 10),
- keypoint3: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
-})
-
-# Instantiate an example
-Example({
- heatmap3: [
- -10, -1, 4, -5, # batch0
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10, -1, 4, -5, # batch1 - test mirror bottom
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 10, -3, 5,
- -10, -1, 4, -5, # batch2 - test mirror left
- -8, -2, 4, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10, -1, 4, 10, # batch3 - test mirror top right
- -8, -2, 4, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5,
- -10,-56, 4, -5, # batch4 - test out of range delta
- -8, -2, 9, 1,
- 7, -2, 3, -7,
- -2, 2, -3, 5
- ],
- boxes3: [
- 5, 2, 10, 20,
- 1, 7, 30, 10,
- 8, 3, 15, 13,
- 6, 5, 19, 12,
- 5, 2, 10, 20
- ],
- score3: [
- 9.071493,
- 10.00500,
- 7.187500,
- 10.00000,
- 10.689667
- ],
- keypoint3: [
- 8.224462, 8.537316,
- 11.73000, 9.625000,
- 8.875000, 9.562500,
- 17.37500, 5.875000,
- 9.569672, 2.000000
- ]
-}).AddNchw(heatmap3, layout).AddVariations(quant8, includeDefault=False)
generated by cgit v1.2.3 (git 2.25.1) at 2024-07-07 11:30:16 +0000