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-rw-r--r--tests/nnapi/specs/Ex/transpose_conv_ex_int_1.mod.py24
1 files changed, 24 insertions, 0 deletions
diff --git a/tests/nnapi/specs/Ex/transpose_conv_ex_int_1.mod.py b/tests/nnapi/specs/Ex/transpose_conv_ex_int_1.mod.py
new file mode 100644
index 000000000..fb8eb72be
--- /dev/null
+++ b/tests/nnapi/specs/Ex/transpose_conv_ex_int_1.mod.py
@@ -0,0 +1,24 @@
+# model
+model = Model()
+i0 = Input("op_shape", "TENSOR_INT32", "{4}")
+weights = Input("ker", "TENSOR_INT32", "{1, 3, 3, 1}")
+i1 = Input("in", "TENSOR_INT32", "{1, 4, 4, 1}" )
+pad = Int32Scalar("pad_same", 1)
+s_x = Int32Scalar("stride_x", 1)
+s_y = Int32Scalar("stride_y", 1)
+i2 = Output("op", "TENSOR_INT32", "{1, 4, 4, 1}")
+model = model.Operation("TRANSPOSE_CONV_EX", i0, weights, i1, pad, s_x, s_y).To(i2)
+
+# Example 1. Input in operand 0,
+input0 = {i0: # output shape
+ [1, 4, 4, 1],
+ i1: # input 0
+ [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
+ weights: # input 1
+ [1, 2, 3, 4, 5, 6, 7, 8, 9]}
+
+output0 = {i2: # output 0
+ [29, 62, 83, 75, 99, 192, 237, 198, 207, 372, 417, 330, 263, 446, 485, 365]}
+
+# Instantiate an example
+Example((input0, output0))