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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/relu6_float_2.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/relu6_float_2.mod.py | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/relu6_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/relu6_float_2.mod.py new file mode 100644 index 000000000..c068eab3c --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/relu6_float_2.mod.py @@ -0,0 +1,39 @@ +# +# 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 = Model() + +d0 = 2 +d1 = 26 +d2 = 40 +d3 = 2 + +i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) + +output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) + +model = model.Operation("RELU6", i0).To(output) + +# Example 1. Input in operand 0, +rng = d0 * d1 * d2 * d3 +input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])() +input0 = {i0: input_values} +output_values = [0 if x < 0 else 6 if x > 6 else x for x in input_values] +output0 = {output: output_values} + +# Instantiate an example +Example((input0, output0)) |