1 files changed, 0 insertions, 99 deletions
diff --git a/tests/nnapi/specs/skip/V1_2/not_equal.mod.py b/tests/nnapi/specs/skip/V1_2/not_equal.mod.py
deleted file mode 100644
index 2c36b5abb..000000000
--- a/tests/nnapi/specs/skip/V1_2/not_equal.mod.py
+++ /dev/null
@@ -1,99 +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.
-#
-def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True):
-  model = Model().Operation("NOT_EQUAL", input0, input1).To(output0)
-  example = Example({
-      input0: input0_data,
-      input1: input1_data,
-      output0: output_data,
-  }, model=model, name=name)
-  if do_variations:
-      example.AddVariations("int32", "float16", "relaxed")
-
-test(
-    name="simple",
-    input0=Input("input0", "TENSOR_FLOAT32", "{3}"),
-    input1=Input("input1", "TENSOR_FLOAT32", "{3}"),
-    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
-    input0_data=[5, 7, 10],
-    input1_data=[10, 7, 5],
-    output_data=[True, False, True],
-)
-
-test(
-    name="broadcast",
-    input0=Input("input0", "TENSOR_FLOAT32", "{2, 1}"),
-    input1=Input("input1", "TENSOR_FLOAT32", "{2}"),
-    output0=Output("output0", "TENSOR_BOOL8", "{2, 2}"),
-    input0_data=[5, 10],
-    input1_data=[10, 5],
-    output_data=[True, False, False, True],
-)
-
-test(
-    name="quantized_different_scale",
-    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)),
-    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 2.0, 128)),
-    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
-    input0_data=[129, 130, 131], # effectively 1, 2, 3
-    input1_data=[129],           # effectively 2
-    output_data=[True, False, True],
-    do_variations=False,
-)
-
-test(
-    name="quantized_different_zero_point",
-    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)),
-    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.0, 129)),
-    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
-    input0_data=[129, 130, 131], # effectively 1, 2, 3
-    input1_data=[131],           # effectively 2
-    output_data=[True, False, True],
-    do_variations=False,
-)
-
-test(
-    name="quantized_overflow_second_input_if_requantized",
-    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)),
-    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)),
-    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
-    input0_data=[0],
-    input1_data=[200],
-    output_data=[True],
-    do_variations=False,
-)
-
-test(
-    name="quantized_overflow_first_input_if_requantized",
-    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)),
-    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)),
-    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
-    input0_data=[200],
-    input1_data=[0],
-    output_data=[True],
-    do_variations=False,
-)
-
-test(
-    name="boolean",
-    input0=Input("input0", "TENSOR_BOOL8", "{4}"),
-    input1=Input("input1", "TENSOR_BOOL8", "{4}"),
-    output0=Output("output0", "TENSOR_BOOL8", "{4}"),
-    input0_data=[False, True, False, True],
-    input1_data=[False, False, True, True],
-    output_data=[False, True, True, False],
-    do_variations=False,
-)