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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_10.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_10.mod.py | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_10.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_10.mod.py new file mode 100644 index 000000000..178421f53 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_1/strided_slice_float_10.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", 0) +endMask = Int32Scalar("endMask", 2) +shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0) + +output = Output("output", "TENSOR_FLOAT32", "{1, 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, 5, 6]} + +output0 = {output: # output 0 + [4, 5, 6]} + +# Instantiate an example +Example((input0, output0)) |