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-rw-r--r--tests/nnapi/specs/Ex/transpose_conv_ex_int_1.mod.py24
1 files changed, 0 insertions, 24 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
deleted file mode 100644
index fb8eb72be..000000000
--- a/tests/nnapi/specs/Ex/transpose_conv_ex_int_1.mod.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# 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))