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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py18
1 files changed, 0 insertions, 18 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py
deleted file mode 100644
index 1a54ae7a1..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py
+++ /dev/null
@@ -1,18 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 24, 1}")
-squeezeDims = Parameter("squeezeDims", "TENSOR_INT32", "{1}", [2])
-output = Output("output", "TENSOR_FLOAT32", "{1, 24}")
-
-model = model.Operation("SQUEEZE", i1, squeezeDims).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, 17, 18, 19, 20, 21, 22, 23, 24]}
-
-output0 = {output: # output 0
- [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
- 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]}
-
-# Instantiate an example
-Example((input0, output0))