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Diffstat (limited to 'tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_weights_as_inputs.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_weights_as_inputs.mod.py | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_weights_as_inputs.mod.py b/tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_weights_as_inputs.mod.py new file mode 100644 index 000000000..5174402e2 --- /dev/null +++ b/tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_weights_as_inputs.mod.py @@ -0,0 +1,49 @@ +# +# 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, 2, 2, 2}") # depth_in = 2 +f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") # depth_out = 2 +b1 = Input("op3", "TENSOR_FLOAT32", "{2}") # depth_out = 2 +pad0 = Int32Scalar("pad0", 0) +act = Int32Scalar("act", 0) +stride = Int32Scalar("stride", 1) +cm = Int32Scalar("channelMultiplier", 1) +output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 2}") + +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], + f1: [ + .25, 0, .25, 1, + .25, 0, .25, 1], + b1: + [100, 200] + } +# (i1 (conv) f1) + b1 +output0 = {output: # output 0 + [110, 246]} + +# Instantiate an example +Example((input0, output0)) |