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-rw-r--r--tests/nnapi/specs/Ex/transpose_conv_ex_float_1.mod.py30
1 files changed, 30 insertions, 0 deletions
diff --git a/tests/nnapi/specs/Ex/transpose_conv_ex_float_1.mod.py b/tests/nnapi/specs/Ex/transpose_conv_ex_float_1.mod.py
new file mode 100644
index 000000000..82b59c3cf
--- /dev/null
+++ b/tests/nnapi/specs/Ex/transpose_conv_ex_float_1.mod.py
@@ -0,0 +1,30 @@
+# model
+model = Model()
+i0 = Input("op_shape", "TENSOR_INT32", "{4}")
+weights = Input("ker", "TENSOR_FLOAT32", "{1, 3, 3, 1}")
+i1 = Input("in", "TENSOR_FLOAT32", "{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_FLOAT32", "{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
+ [1.0, 2.0, 3.0, 4.0,
+ 5.0, 6.0, 7.0, 8.0,
+ 9.0, 10.0, 11.0, 12.0,
+ 13.0, 14.0, 15.0, 16.0],
+ weights: # input 1
+ [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]}
+
+output0 = {i2: # output 0
+ [29.0, 62.0, 83.0, 75.0,
+ 99.0, 192.0, 237.0, 198.0,
+ 207.0, 372.0, 417.0, 330.0,
+ 263.0, 446.0, 485.0, 365.0]}
+
+# Instantiate an example
+Example((input0, output0))