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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_weights_as_inputs.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_weights_as_inputs.mod.py | 58 |
1 files changed, 58 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_weights_as_inputs.mod.py new file mode 100644 index 000000000..9a8af4cf6 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/depthwise_conv2d_float_weights_as_inputs.mod.py @@ -0,0 +1,58 @@ +# +# 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() +i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") +f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}") +b1 = Input("op3", "TENSOR_FLOAT32", "{4}") +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +stride = Int32Scalar("stride", 1) +cm = Int32Scalar("channelMultiplier", 2) +output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") + +model = model.Operation("DEPTHWISE_CONV_2D", + i1, f1, b1, + pad0, pad0, pad0, pad0, + stride, stride, + cm, act).To(output) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [10, 21, 10, 22, 10, 23, + 10, 24, 10, 25, 10, 26, + 10, 27, 10, 28, 10, 29], + f1: + [.25, 0, .2, 0, + .25, 0, 0, .3, + .25, 0, 0, 0, + .25, .1, 0, 0], + b1: + [1, 2, 3, 4]} +# (i1 (conv) f1) + b1 +# filter usage: +# in_ch1 * f_1 --> output_d1 +# in_ch1 * f_2 --> output_d2 +# in_ch2 * f_3 --> output_d3 +# in_ch3 * f_4 --> output_d4 +output0 = {output: # output 0 + [11, 3, 7.2, 10.6, + 11, 3, 7.4, 10.9, + 11, 3, 7.8, 11.5, + 11, 3, 8.0, 11.8]} + +# Instantiate an example +Example((input0, output0)) |