1 files changed, 0 insertions, 36 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_large_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_large_weights_as_inputs.mod.py
deleted file mode 100644
index 70ea52556..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_large_weights_as_inputs.mod.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#
-# Copyright (C) 2017 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()
-in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # batch = 1, input_size = 5
-weights = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # num_units = 1, input_size = 5
-bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0")
-out0 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1}, 1.f, 0") # batch = 1, number_units = 1
-act = Int32Scalar("act", 0)
-model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
-
-# Example 1. Input in operand 0,
-input0 = {in0: # input 0
-          [10, 10, 10, 10, 10],
-          weights:
-          [10, 20, 20, 20, 10],
-          bias:
-          [10]}
-output0 = {out0: # output 0
-           [32]}
-
-# Instantiate an example
-Example((input0, output0))