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authorChunseok Lee <chunseok.lee@samsung.com>2020-03-04 18:09:24 +0900
committerChunseok Lee <chunseok.lee@samsung.com>2020-03-04 18:09:24 +0900
commit302e6564a7a76109e1178207e44e45a58631c477 (patch)
tree6cc4bd95e5e438331fc2c53234af4ed0e0f3bc20 /tests/nnapi/specs/skip/V1_1/fully_connected_float_4d_simple_relaxed.mod.py
parentbd11b24234d7d43dfe05a81c520aa01ffad06e42 (diff)
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+#
+# Copyright (C) 2018 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.
+#
+
+# This test is for testing the input requirements of Fully Connected Op:
+# the input's first dimension doesn't have to be the batch size, the
+# input is reshaped as needed.
+
+model = Model()
+in0 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 5, 1}")
+weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [
+ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, # u = 0
+ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, # u = 1
+ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, # u = 1
+])
+bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3])
+out0 = Output("op3", "TENSOR_FLOAT32", "{2, 3}")
+act = Int32Scalar("act", 0)
+model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
+model = model.RelaxedExecution(True)
+
+# Example 1. Input in operand 0,
+input0 = {in0: # input 0
+ [1, 2, 3, 4, 5, 6, 7, 8, -9, -10,
+ 1, 2, 3, 4, 5, 6, 7, -8, 9, -10]}
+output0 = {out0: # output 0
+ [24, 25, 26,
+ 58, 59, 60]}
+
+# Instantiate an example
+Example((input0, output0))