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-rw-r--r--tests/nnapi/specs/skip/V1_2/box_with_nms_limit_linear.mod.py201
1 files changed, 0 insertions, 201 deletions
diff --git a/tests/nnapi/specs/skip/V1_2/box_with_nms_limit_linear.mod.py b/tests/nnapi/specs/skip/V1_2/box_with_nms_limit_linear.mod.py
deleted file mode 100644
index 4d3bc2001..000000000
--- a/tests/nnapi/specs/skip/V1_2/box_with_nms_limit_linear.mod.py
+++ /dev/null
@@ -1,201 +0,0 @@
-#
-# Copyright (C) 2019 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.
-#
-
-# TEST 1: BOX_WITH_NMS_LIMIT, score_threshold = 0.3, nms_threshold = 0.4, max_detections = -1
-i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores
-i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi
-i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit
-
-o1 = Output("scoresOut", "TENSOR_FLOAT32", "{16}") # scores out
-o2 = Output("roiOut", "TENSOR_FLOAT32", "{16, 4}") # roi out
-o3 = Output("classesOut", "TENSOR_INT32", "{16}") # classes out
-o4 = Output("batchSplitOut", "TENSOR_INT32", "{16}") # batch split out
-model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, -1, 1, 0.4, 1.0, 0.3).To(o1, o2, o3, o4)
-
-quant8 = DataTypeConverter().Identify({
- i1: ("TENSOR_QUANT8_ASYMM", 0.01, 0),
- i2: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
- o1: ("TENSOR_QUANT8_ASYMM", 0.01, 0),
- o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
-})
-
-input0 = {
- i1: [ # scores
- 0.90, 0.95, 0.75,
- 0.80, 0.70, 0.85,
- 0.60, 0.90, 0.95,
- 0.90, 0.65, 0.90,
- 0.80, 0.85, 0.80,
- 0.60, 0.60, 0.20,
- 0.60, 0.80, 0.40,
- 0.90, 0.55, 0.60,
- 0.90, 0.75, 0.70,
- 0.80, 0.70, 0.85,
- 0.90, 0.95, 0.75,
- 0.80, 0.85, 0.80,
- 0.60, 0.90, 0.95,
- 0.60, 0.60, 0.20,
- 0.50, 0.90, 0.80,
- 0.90, 0.75, 0.70,
- 0.90, 0.65, 0.90,
- 0.90, 0.55, 0.60,
- 0.60, 0.80, 0.40
- ],
- i2: [ # roi
- 1, 1, 10, 10, 0, 0, 10, 10, 0, 0, 10, 10,
- 2, 2, 11, 11, 1, 1, 11, 11, 1, 1, 11, 11,
- 3, 3, 12, 12, 2, 2, 12, 12, 2, 2, 12, 12,
- 4, 4, 13, 13, 3, 3, 13, 13, 3, 3, 13, 13,
- 5, 5, 14, 14, 4, 4, 14, 14, 4, 4, 14, 14,
- 6, 6, 15, 15, 5, 5, 15, 15, 5, 5, 15, 15,
- 7, 7, 16, 16, 6, 6, 16, 16, 6, 6, 16, 16,
- 8, 8, 17, 17, 7, 7, 17, 17, 7, 7, 17, 17,
- 9, 9, 18, 18, 8, 8, 18, 18, 8, 8, 18, 18,
- 2, 2, 11, 11, 2, 2, 12, 12, 2, 2, 12, 12,
- 1, 1, 10, 10, 1, 1, 11, 11, 1, 1, 11, 11,
- 5, 5, 14, 14, 5, 5, 15, 15, 5, 5, 15, 15,
- 3, 3, 12, 12, 3, 3, 13, 13, 3, 3, 13, 13,
- 6, 6, 15, 15, 6, 6, 16, 16, 6, 6, 16, 16,
- 0, 0, 1, 1, 0, 0, 2, 2, 0, 0, 2, 2,
- 9, 9, 18, 18, 9, 9, 19, 19, 9, 9, 19, 19,
- 4, 4, 13, 13, 4, 4, 14, 14, 4, 4, 14, 14,
- 8, 8, 17, 17, 8, 8, 18, 18, 8, 8, 18, 18,
- 7, 7, 16, 16, 7, 7, 17, 17, 7, 7, 17, 17
- ],
- i3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] # batch split
-}
-
-output0 = {
- o1: [
- 0.95, 0.85, 0.75, 0.95, 0.7, 0.42352945, 0.39705884,
- 0.95, 0.9, 0.85, 0.75, 0.95, 0.8, 0.7, 0.42352945, 0.39705884
- ],
- o2: [
- 0, 0, 10, 10,
- 4, 4, 14, 14,
- 8, 8, 18, 18,
- 2, 2, 12, 12,
- 8, 8, 18, 18,
- 4, 4, 14, 14,
- 0, 0, 10, 10,
- 1, 1, 11, 11,
- 0, 0, 2, 2,
- 5, 5, 15, 15,
- 9, 9, 19, 19,
- 3, 3, 13, 13,
- 0, 0, 2, 2,
- 9, 9, 19, 19,
- 5, 5, 15, 15,
- 1, 1, 11, 11
- ],
- o3: [1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2],
- o4: [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1],
-}
-
-Example((input0, output0)).AddVariations("relaxed", "float16", quant8)
-
-
-# TEST 2: BOX_WITH_NMS_LIMIT, score_threshold = 0.3, nms_threshold = 0.4, max_detections = 5
-i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores
-i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi
-i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit
-
-o1 = Output("scoresOut", "TENSOR_FLOAT32", "{15}") # scores out
-o2 = Output("roiOut", "TENSOR_FLOAT32", "{15, 4}") # roi out
-o3 = Output("classesOut", "TENSOR_INT32", "{15}") # classes out
-o4 = Output("batchSplitOut", "TENSOR_INT32", "{15}") # batch split out
-model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, 8, 1, 0.4, 0.5, 0.3).To(o1, o2, o3, o4)
-
-quant8 = DataTypeConverter().Identify({
- i1: ("TENSOR_QUANT8_ASYMM", 0.01, 128),
- i2: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
- o1: ("TENSOR_QUANT8_ASYMM", 0.01, 128),
- o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
-})
-
-input0 = {
- i1: [ # scores
- 0.90, 0.95, 0.75,
- 0.80, 0.70, 0.85,
- 0.60, 0.90, 0.95,
- 0.90, 0.65, 0.90,
- 0.80, 0.85, 0.80,
- 0.60, 0.60, 0.20,
- 0.60, 0.80, 0.40,
- 0.90, 0.55, 0.60,
- 0.90, 0.75, 0.70,
- 0.80, 0.70, 0.85,
- 0.90, 0.95, 0.75,
- 0.80, 0.85, 0.80,
- 0.60, 0.90, 0.95,
- 0.60, 0.60, 0.20,
- 0.50, 0.90, 0.80,
- 0.90, 0.75, 0.70,
- 0.90, 0.65, 0.90,
- 0.90, 0.55, 0.60,
- 0.60, 0.80, 0.40
- ],
- i2: [ # roi
- 1, 1, 10, 10, 0, 0, 10, 10, 0, 0, 10, 10,
- 2, 2, 11, 11, 1, 1, 11, 11, 1, 1, 11, 11,
- 3, 3, 12, 12, 2, 2, 12, 12, 2, 2, 12, 12,
- 4, 4, 13, 13, 3, 3, 13, 13, 3, 3, 13, 13,
- 5, 5, 14, 14, 4, 4, 14, 14, 4, 4, 14, 14,
- 6, 6, 15, 15, 5, 5, 15, 15, 5, 5, 15, 15,
- 7, 7, 16, 16, 6, 6, 16, 16, 6, 6, 16, 16,
- 8, 8, 17, 17, 7, 7, 17, 17, 7, 7, 17, 17,
- 9, 9, 18, 18, 8, 8, 18, 18, 8, 8, 18, 18,
- 2, 2, 11, 11, 2, 2, 12, 12, 2, 2, 12, 12,
- 1, 1, 10, 10, 1, 1, 11, 11, 1, 1, 11, 11,
- 5, 5, 14, 14, 5, 5, 15, 15, 5, 5, 15, 15,
- 3, 3, 12, 12, 3, 3, 13, 13, 3, 3, 13, 13,
- 6, 6, 15, 15, 6, 6, 16, 16, 6, 6, 16, 16,
- 0, 0, 1, 1, 0, 0, 2, 2, 0, 0, 2, 2,
- 9, 9, 18, 18, 9, 9, 19, 19, 9, 9, 19, 19,
- 4, 4, 13, 13, 4, 4, 14, 14, 4, 4, 14, 14,
- 8, 8, 17, 17, 8, 8, 18, 18, 8, 8, 18, 18,
- 7, 7, 16, 16, 7, 7, 17, 17, 7, 7, 17, 17
- ],
- i3: [1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] # batch split
-}
-
-output0 = {
- o1: [
- 0.95, 0.85, 0.75, 0.95, 0.7, 0.42352945, 0.39705884,
- 0.95, 0.9, 0.85, 0.75, 0.95, 0.8, 0.7, 0.42352945
- ],
- o2: [
- 0, 0, 10, 10,
- 4, 4, 14, 14,
- 8, 8, 18, 18,
- 2, 2, 12, 12,
- 8, 8, 18, 18,
- 4, 4, 14, 14,
- 0, 0, 10, 10,
- 1, 1, 11, 11,
- 0, 0, 2, 2,
- 5, 5, 15, 15,
- 9, 9, 19, 19,
- 3, 3, 13, 13,
- 0, 0, 2, 2,
- 9, 9, 19, 19,
- 5, 5, 15, 15
- ],
- o3: [1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2],
- o4: [1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3],
-}
-
-Example((input0, output0)).AddVariations("relaxed", "float16", quant8)
generated by cgit v1.2.3 (git 2.25.1) at 2024-07-07 11:09:49 +0000