Remove invalid local_response_norm tests

 - These tests have bias of 0 which is prohibited by the spec

Bug: 73641582
Test: mm
Test: CTS test
Change-Id: Ifbeb9203464cdda53bde514add173b0563beea4b

5 files changed, 0 insertions, 116 deletions

diff --git a/nn/runtime/test/specs/V1_0/local_response_norm_float_2.mod.py b/nn/runtime/test/specs/V1_0/local_response_norm_float_2.mod.py
deleted file mode 100644
index fa025bfc0..000000000
--- a/nn/runtime/test/specs/V1_0/local_response_norm_float_2.mod.py
+++ /dev/null
@@ -1,19 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-radius = Int32Scalar("radius", 20)
-bias = Float32Scalar("bias", 0.)
-alpha = Float32Scalar("alpha", 1.)
-beta = Float32Scalar("beta", .5)
-output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-
-model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
-          [-1.1, .6, .7, 1.2, -.7, .1]}
-
-output0 = {output: # output 0
-           [-.55, .3, .35, .6, -.35, .05]}
-
-# Instantiate an example
-Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_0/local_response_norm_float_3.mod.py b/nn/runtime/test/specs/V1_0/local_response_norm_float_3.mod.py
deleted file mode 100644
index e655bb90d..000000000
--- a/nn/runtime/test/specs/V1_0/local_response_norm_float_3.mod.py
+++ /dev/null
@@ -1,19 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-radius = Int32Scalar("radius", 20)
-bias = Float32Scalar("bias", 0.)
-alpha = Float32Scalar("alpha", 4.)
-beta = Float32Scalar("beta", .5)
-output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-
-model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
-          [-1.1, .6, .7, 1.2, -.7, .1]}
-
-output0 = {output: # output 0
-           [-.275, .15, .175, .3, -.175, .025]}
-
-# Instantiate an example
-Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_1/local_response_norm_float_2_relaxed.mod.py b/nn/runtime/test/specs/V1_1/local_response_norm_float_2_relaxed.mod.py
deleted file mode 100644
index 5ecc929f7..000000000
--- a/nn/runtime/test/specs/V1_1/local_response_norm_float_2_relaxed.mod.py
+++ /dev/null
@@ -1,36 +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.
-#
-
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-radius = Int32Scalar("radius", 20)
-bias = Float32Scalar("bias", 0.)
-alpha = Float32Scalar("alpha", 1.)
-beta = Float32Scalar("beta", .5)
-output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-
-model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
-model = model.RelaxedExecution(True)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
-          [-1.1, .6, .7, 1.2, -.7, .1]}
-
-output0 = {output: # output 0
-           [-.55, .3, .35, .6, -.35, .05]}
-
-# Instantiate an example
-Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_1/local_response_norm_float_3_relaxed.mod.py b/nn/runtime/test/specs/V1_1/local_response_norm_float_3_relaxed.mod.py
deleted file mode 100644
index 38e5f4b32..000000000
--- a/nn/runtime/test/specs/V1_1/local_response_norm_float_3_relaxed.mod.py
+++ /dev/null
@@ -1,36 +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.
-#
-
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-radius = Int32Scalar("radius", 20)
-bias = Float32Scalar("bias", 0.)
-alpha = Float32Scalar("alpha", 4.)
-beta = Float32Scalar("beta", .5)
-output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-
-model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
-model = model.RelaxedExecution(True)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
-          [-1.1, .6, .7, 1.2, -.7, .1]}
-
-output0 = {output: # output 0
-           [-.275, .15, .175, .3, -.175, .025]}
-
-# Instantiate an example
-Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_2/local_response_normalization_v1_2.mod.py b/nn/runtime/test/specs/V1_2/local_response_normalization_v1_2.mod.py
index 6d95849a7..ea222fc76 100644
--- a/nn/runtime/test/specs/V1_2/local_response_normalization_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/local_response_normalization_v1_2.mod.py
@@ -19,12 +19,6 @@ o = Output("op2", "TENSOR_FLOAT32", "{2, 2, 2, 6}") # output
 axis = Int32Scalar("axis", -1) # last axis
 input0 = {i: [-1.1, .6, .7, 1.2, -.7, .1] * 8}
 
-# TEST 1: radius = 20, bias = 0.0, alpha = 1.0, beta = 0.5
-Model("axis").Operation("LOCAL_RESPONSE_NORMALIZATION", i, 20, 0.0, 1.0, 0.5, axis).To(o)
-Example((input0, {
-        o: [-.55, .3, .35, .6, -.35, .05] * 8
-    })).AddAllDimsAndAxis(i, o, axis).AddVariations("relaxed", "float16")
-
 # TEST 2: radius = 20, bias = 9.0, alpha = 4.0, beta = 0.5
 Model("axis").Operation("LOCAL_RESPONSE_NORMALIZATION", i, 20, 9.0, 4.0, 0.5, axis).To(o)
 Example((input0, {