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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/space_to_depth_float_3.mod.py22
1 files changed, 0 insertions, 22 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/space_to_depth_float_3.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/space_to_depth_float_3.mod.py
deleted file mode 100644
index e5298dff1..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/space_to_depth_float_3.mod.py
+++ /dev/null
@@ -1,22 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 4, 4, 2}")
-block = Int32Scalar("block_size", 2)
-output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 8}")
-
-model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
- [10, 20, 11, 21, 12, 22, 13, 23,
- 14, 24, 15, 25, 16, 26, 17, 27,
- 18, 28, 19, 29, 110, 210, 111, 211,
- 112, 212, 113, 213, 114, 214, 115, 215]}
-
-output0 = {output: # output 0
- [10, 20, 11, 21, 14, 24, 15, 25,
- 12, 22, 13, 23, 16, 26, 17, 27,
- 18, 28, 19, 29, 112, 212, 113, 213,
- 110, 210, 111, 211, 114, 214, 115, 215]}
-
-# Instantiate an example
-Example((input0, output0))