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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_large_weights_as_inputs.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_large_weights_as_inputs.mod.py | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_large_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_large_weights_as_inputs.mod.py new file mode 100644 index 000000000..f88fbcab5 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_large_weights_as_inputs.mod.py @@ -0,0 +1,36 @@ +# +# 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", "{1, 5}") # batch = 1, input_size = 5 +weights = Input("op2", "TENSOR_FLOAT32", "{1, 5}") # num_units = 1, input_size = 5 +bias = Input("b0", "TENSOR_FLOAT32", "{1}") +out0 = Output("op3", "TENSOR_FLOAT32", "{1, 1}") # 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 + [1, 10, 100, 1000, 10000], + weights: + [2, 3, 4, 5, 6], + bias: + [900000]} +output0 = {out0: # output 0 + [965432]} + +# Instantiate an example +Example((input0, output0)) |