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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float.mod.py | 32 |
1 files changed, 0 insertions, 32 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float.mod.py deleted file mode 100644 index 29a21e77a..000000000 --- a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float.mod.py +++ /dev/null @@ -1,32 +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_FLOAT32", "{3, 1}") -weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 1}", [2]) -bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) -out0 = Output("op3", "TENSOR_FLOAT32", "{3, 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 - [2, 32, 16]} -output0 = {out0: # output 0 - [8, 68, 36]} - -# Instantiate an example -Example((input0, output0)) |