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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_float_1.mod.py17
1 files changed, 0 insertions, 17 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_float_1.mod.py
deleted file mode 100644
index 890ced869..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_float_1.mod.py
+++ /dev/null
@@ -1,17 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 4, 4, 1}")
-block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2])
-paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0])
-output = Output("output", "TENSOR_FLOAT32", "{4, 2, 2, 1}")
-
-model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
- [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}
-
-output0 = {output: # output 0
- [1, 3, 9, 11, 2, 4, 10, 12, 5, 7, 13, 15, 6, 8, 14, 16]}
-
-# Instantiate an example
-Example((input0, output0))