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-rw-r--r--tests/nnapi/specs/Ex/transpose_conv_ex_float_3.mod.py35
1 files changed, 35 insertions, 0 deletions
diff --git a/tests/nnapi/specs/Ex/transpose_conv_ex_float_3.mod.py b/tests/nnapi/specs/Ex/transpose_conv_ex_float_3.mod.py
new file mode 100644
index 000000000..056c5809d
--- /dev/null
+++ b/tests/nnapi/specs/Ex/transpose_conv_ex_float_3.mod.py
@@ -0,0 +1,35 @@
+# model
+model = Model()
+i0 = Input("op_shape", "TENSOR_INT32", "{4}")
+weights = Input("ker", "TENSOR_FLOAT32", "{2, 3, 3, 1}")
+i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}" )
+pad = Int32Scalar("pad_valid", 2)
+s_x = Int32Scalar("stride_x", 2)
+s_y = Int32Scalar("stride_y", 2)
+i2 = Output("op", "TENSOR_FLOAT32", "{1, 5, 5, 2}")
+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, 5, 5, 2],
+ i1: # input 0
+ [1.0, 2.0, 3.0, 4.0],
+ weights: # input 1
+ [1.0, 3.0, 5.0, 7.0, 9.0, 11.0,
+ 13.0, 15.0, 17.0, 2.0, 4.0, 6.0,
+ 8.0, 10.0, 12.0, 14.0, 16.0, 18.0]}
+
+output0 = {i2: # output 0
+ [1.0, 2.0, 3.0, 4.0, 7.0,
+ 10.0, 6.0, 8.0, 10.0, 12.0,
+ 7.0, 8.0, 9.0, 10.0, 25.0,
+ 28.0, 18.0, 20.0, 22.0, 24.0,
+ 16.0, 20.0, 24.0, 28.0, 62.0,
+ 72.0, 42.0, 48.0, 54.0, 60.0,
+ 21.0, 24.0, 27.0, 30.0, 61.0,
+ 68.0, 36.0, 40.0, 44.0, 48.0,
+ 39.0, 42.0, 45.0, 48.0, 103.0,
+ 110.0, 60.0, 64.0, 68.0, 72.0]}
+
+# Instantiate an example
+Example((input0, output0))