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-rw-r--r--tests/nnapi/specs/V1_1/depthwise_conv2d_float_large_2_relaxed.mod.py47
1 files changed, 0 insertions, 47 deletions
diff --git a/tests/nnapi/specs/V1_1/depthwise_conv2d_float_large_2_relaxed.mod.py b/tests/nnapi/specs/V1_1/depthwise_conv2d_float_large_2_relaxed.mod.py
deleted file mode 100644
index a878b6029..000000000
--- a/tests/nnapi/specs/V1_1/depthwise_conv2d_float_large_2_relaxed.mod.py
+++ /dev/null
@@ -1,47 +0,0 @@
-#
-# 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.
-#
-
-model = Model()
-i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 4}") # depth_in = 4
-f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0, 10, 100, .25, 1, 20, 100, .25, 0, 30, 100, .25, 1, 40, 100]) # depth_out = 4
-b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [6000, 7000, 8000, 9000]) # depth_out = 4
-pad0 = Int32Scalar("pad0", 0)
-act = Int32Scalar("act", 0)
-stride = Int32Scalar("stride", 1)
-cm = Int32Scalar("channelMultiplier", 1)
-output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 4}")
-
-model = model.Operation("DEPTHWISE_CONV_2D",
- i1, f1, b1,
- pad0, pad0, pad0, pad0,
- stride, stride,
- cm, act).To(output)
-model = model.RelaxedExecution(True)
-
-# Example 1. Input in operand 0,
-input0 = {
- i1: [ # input 0
- 10, 21, 10, 0,
- 10, 22, 20, 0,
- 10, 23, 30, 0,
- 10, 24, 40, 0],
- }
-# (i1 (conv) f1) + b1
-output0 = {output: # output 0
- [6010, 7046, 11000, 9000]}
-
-# Instantiate an example
-Example((input0, output0))