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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_3.mod.py22
1 files changed, 22 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_3.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_3.mod.py
new file mode 100644
index 000000000..e476bca08
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_3.mod.py
@@ -0,0 +1,22 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{4}")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [-5])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [3])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_FLOAT32", "{3}")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1, 2, 3, 4]}
+
+output0 = {output: # output 0
+ [1, 2, 3]}
+
+# Instantiate an example
+Example((input0, output0))