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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/local_response_norm_float_4.mod.py19
1 files changed, 0 insertions, 19 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/local_response_norm_float_4.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/local_response_norm_float_4.mod.py
deleted file mode 100644
index e4d2817d9..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/local_response_norm_float_4.mod.py
+++ /dev/null
@@ -1,19 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-radius = Int32Scalar("radius", 2)
-bias = Float32Scalar("bias", 9.)
-alpha = Float32Scalar("alpha", 4.)
-beta = Float32Scalar("beta", .5)
-output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-
-model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
- [-1.1, .6, .7, 1.2, -.7, .1]}
-
-output0 = {output: # output 0
- [-.26492569, .12510864, .14011213, .26726127, -.16178755, .0244266]}
-
-# Instantiate an example
-Example((input0, output0))