This patch rectifies the name of one of the inputs.
Signed-off-by: b.devansh <b.devansh@samsung.com>
i1 = Input("input1", "TENSOR_FLOAT32", "{2, 3, 4}")
i2 = Input("input2", "TENSOR_FLOAT32", "{2, 3, 4}")
i3 = Input("input3", "TENSOR_FLOAT32", "{2, 3, 4}")
-num = Int32Scalar("num", 3)
+num = Int32Scalar("num_tensors", 3)
axis = Int32Scalar("axis", 0)
out = Output("output", "TENSOR_FLOAT32", "{3, 2, 3, 4}")
model = model.Operation("PACK_EX", i1, i2, i3, num, axis).To(out)
i1 = Input("input1", "TENSOR_FLOAT32", "{2, 3, 4}")
i2 = Input("input2", "TENSOR_FLOAT32", "{2, 3, 4}")
i3 = Input("input3", "TENSOR_FLOAT32", "{2, 3, 4}")
-num = Int32Scalar("num", 3)
+num = Int32Scalar("num_tensors", 3)
axis = Int32Scalar("axis", 2)
out = Output("output", "TENSOR_FLOAT32", "{2, 3, 3, 4}")
model = model.Operation("PACK_EX", i1, i2, i3, num, axis).To(out)
i1 = Input("input1", "TENSOR_INT32", "{2, 3, 4}")
i2 = Input("input2", "TENSOR_INT32", "{2, 3, 4}")
i3 = Input("input3", "TENSOR_INT32", "{2, 3, 4}")
-num = Int32Scalar("num", 3)
+num = Int32Scalar("num_tensors", 3)
axis = Int32Scalar("axis", 0)
out = Output("output", "TENSOR_INT32", "{3, 2, 3, 4}")
model = model.Operation("PACK_EX", i1, i2, i3, num, axis).To(out)
i1 = Input("input1", "TENSOR_INT32", "{2, 3, 4}")
i2 = Input("input2", "TENSOR_INT32", "{2, 3, 4}")
i3 = Input("input3", "TENSOR_INT32", "{2, 3, 4}")
-num = Int32Scalar("num", 3)
+num = Int32Scalar("num_tensors", 3)
axis = Int32Scalar("axis", 2)
out = Output("output", "TENSOR_INT32", "{2, 3, 3, 4}")
model = model.Operation("PACK_EX", i1, i2, i3, num, axis).To(out)