Imported Upstream version 0.2upstream/0.2submit/tizen/20180918.075952

1 files changed, 22 insertions, 0 deletions

diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_9.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_9.mod.py
new file mode 100644
index 000000000..4bafd3da6
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_9.mod.py
@@ -0,0 +1,22 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{2, 3}")
+begins = Parameter("begins", "TENSOR_INT32", "{2}", [1, 0])
+ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2])
+strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1])
+beginMask = Int32Scalar("beginMask", 1)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_FLOAT32", "{2, 2}")
+
+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, 5, 6]}
+
+output0 = {output: # output 0
+           [1, 2, 4, 5]}
+
+# Instantiate an example
+Example((input0, output0))