diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/rnn_state.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/rnn_state.mod.py | 126 |
1 files changed, 0 insertions, 126 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/rnn_state.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/rnn_state.mod.py deleted file mode 100644 index 49a73b737..000000000 --- a/runtimes/tests/neural_networks_test/specs/V1_0/rnn_state.mod.py +++ /dev/null @@ -1,126 +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. -# - -batches = 2 -units = 16 -input_size = 8 - -model = Model() - -input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size)) -weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) -recurrent_weights = Input("recurrent_weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, units)) -bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) -hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) - -activation_param = Int32Scalar("activation_param", 1) # Relu - -hidden_state_out = IgnoredOutput("hidden_state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) -output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) - -model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in, - activation_param).To([hidden_state_out, output]) - -input0 = { - weights: [ - 0.461459, 0.153381, 0.529743, -0.00371218, 0.676267, -0.211346, - 0.317493, 0.969689, -0.343251, 0.186423, 0.398151, 0.152399, - 0.448504, 0.317662, 0.523556, -0.323514, 0.480877, 0.333113, - -0.757714, -0.674487, -0.643585, 0.217766, -0.0251462, 0.79512, - -0.595574, -0.422444, 0.371572, -0.452178, -0.556069, -0.482188, - -0.685456, -0.727851, 0.841829, 0.551535, -0.232336, 0.729158, - -0.00294906, -0.69754, 0.766073, -0.178424, 0.369513, -0.423241, - 0.548547, -0.0152023, -0.757482, -0.85491, 0.251331, -0.989183, - 0.306261, -0.340716, 0.886103, -0.0726757, -0.723523, -0.784303, - 0.0354295, 0.566564, -0.485469, -0.620498, 0.832546, 0.697884, - -0.279115, 0.294415, -0.584313, 0.548772, 0.0648819, 0.968726, - 0.723834, -0.0080452, -0.350386, -0.272803, 0.115121, -0.412644, - -0.824713, -0.992843, -0.592904, -0.417893, 0.863791, -0.423461, - -0.147601, -0.770664, -0.479006, 0.654782, 0.587314, -0.639158, - 0.816969, -0.337228, 0.659878, 0.73107, 0.754768, -0.337042, - 0.0960841, 0.368357, 0.244191, -0.817703, -0.211223, 0.442012, - 0.37225, -0.623598, -0.405423, 0.455101, 0.673656, -0.145345, - -0.511346, -0.901675, -0.81252, -0.127006, 0.809865, -0.721884, - 0.636255, 0.868989, -0.347973, -0.10179, -0.777449, 0.917274, - 0.819286, 0.206218, -0.00785118, 0.167141, 0.45872, 0.972934, - -0.276798, 0.837861, 0.747958, -0.0151566, -0.330057, -0.469077, - 0.277308, 0.415818 - ], - recurrent_weights: [ - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.1 - ], - bias: [ - 0.065691948, -0.69055247, 0.1107955, -0.97084129, -0.23957068, - -0.23566568, -0.389184, 0.47481549, -0.4791103, 0.29931796, - 0.10463274, 0.83918178, 0.37197268, 0.61957061, 0.3956964, - -0.37609905 - ], -} - -input0[input] = [ - -0.69424844, -0.93421471, -0.87287879, 0.37144363, - -0.62476718, 0.23791671, 0.40060222, 0.1356622, - -0.69424844, -0.93421471, -0.87287879, 0.37144363, - -0.62476718, 0.23791671, 0.40060222, 0.1356622, -] -input0[hidden_state_in] = [ - 0.496726, 0, 0.965996, 0, - 0.0584256, 0, 0, 0.12315, - 0, 0, 0.612267, 0.456601, - 0, 0.52286, 1.16099, 0.0291233, - 0.496726, 0, 0.965996, 0, - 0.0584256, 0, 0, 0.12315, - 0, 0, 0.612267, 0.456601, - 0, 0.52286, 1.16099, 0.0291233, -] -output0 = { - hidden_state_out : [ - 0, 0, 0.524902, 0, - 0, 0, 0, 1.02116, - 0, 1.35762, 0, 0.356909, - 0.436415, 0.0355731, 0, 0, - 0, 0, 0.524902, 0, - 0, 0, 0, 1.02116, - 0, 1.35762, 0, 0.356909, - 0.436415, 0.0355731, 0, 0, - ] -} -output0[output] = [ - 0, 0, 0.524901, 0, 0, 0, - 0, 1.02116, 0, 1.35762, 0, 0.356909, - 0.436415, 0.0355727, 0, 0, - - 0, 0, 0.524901, 0, 0, 0, - 0, 1.02116, 0, 1.35762, 0, 0.356909, - 0.436415, 0.0355727, 0, 0, -] - -Example((input0, output0)) |