From: 윤지영/On-Device Lab(SR)/Engineer/삼성전자 Date: Fri, 22 Feb 2019 07:00:05 +0000 (+0900) Subject: Add generated test for 3D input and 2D indices in gather (#4345) X-Git-Tag: submit/tizen/20190325.013700~223 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=f9c9eaab5dc2f3089ab3c11b39012d8da8f81cb6;p=platform%2Fcore%2Fml%2Fnnfw.git Add generated test for 3D input and 2D indices in gather (#4345) * Add generated test for 3D input and 2D indices in gather This commit contains a new generated test for 3D input and 2D indices in gather. gather_ex_3D_2D_float_1 for [2,3,4] input and [1,2] indices with axis 0 gather_ex_3D_2D_float_2 for [2,3,4] input and [2,1] indices with axis 1 gather_ex_3D_2D_float_3 for [2,3,4] input and [2,1] indices with axis 2 * Update wrong comment Signed-off-by: Jiyoung Yun --- diff --git a/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_1.mod.py b/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_1.mod.py new file mode 100644 index 0000000..09db602 --- /dev/null +++ b/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_1.mod.py @@ -0,0 +1,29 @@ +# model +model = Model() +i1 = Input("op1", "TENSOR_FLOAT32", "{2,3,4}") # a vector of 24 float32s +i2 = Input("op2", "TENSOR_INT32", "{1,2}") # another vector of 2 int32s +axis = Int32Scalar("axis", 0) +i3 = Output("op3", "TENSOR_FLOAT32", "{1,2,3,4}") # a vector of 24 float32s +model = model.Operation("GATHER_EX", i1, i2, axis).To(i3) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789, + 7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789, + 2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 13.123456789123456789, 14.123456789123456789, 15.123456789123456789, 16.123456789123456789, + 17.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 12.123456789123456789, 28.123456789123456789, 29.123456789123456789, 21.123456789123456789], + i2: # input 1 + [1, 0]} + +output0 = {i3: # output 0 + [13.123456789123456789, 14.123456789123456789, 15.123456789123456789, 16.123456789123456789, + 17.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 12.123456789123456789, 28.123456789123456789, 29.123456789123456789, 21.123456789123456789, + 3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789, + 7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789, + 2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789]} + +# Instantiate an example +Example((input0, output0)) diff --git a/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_2.mod.py b/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_2.mod.py new file mode 100644 index 0000000..bfdc83c --- /dev/null +++ b/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_2.mod.py @@ -0,0 +1,29 @@ +# model +model = Model() +i1 = Input("op1", "TENSOR_FLOAT32", "{2,3,4}") # a vector of 24 float32s +i2 = Input("op2", "TENSOR_INT32", "{2,1}") # another vector of 2 int32s +axis = Int32Scalar("axis", 0) +i3 = Output("op3", "TENSOR_FLOAT32", "{2,1,3,4}") # a vector of 24 float32s +model = model.Operation("GATHER_EX", i1, i2, axis).To(i3) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789, + 7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789, + 2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 13.123456789123456789, 14.123456789123456789, 15.123456789123456789, 16.123456789123456789, + 17.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 12.123456789123456789, 28.123456789123456789, 29.123456789123456789, 21.123456789123456789], + i2: # input 1 + [0, 0]} + +output0 = {i3: # output 0 + [3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789, + 7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789, + 2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789, + 7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789, + 2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789]} + +# Instantiate an example +Example((input0, output0)) diff --git a/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_3.mod.py b/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_3.mod.py new file mode 100644 index 0000000..cfcd1b4 --- /dev/null +++ b/tests/nnapi/specs/Ex/gather_ex_3D_2D_float_3.mod.py @@ -0,0 +1,26 @@ +# model +model = Model() +i1 = Input("op1", "TENSOR_FLOAT32", "{2,3,4}") # a vector of 24 float32s +i2 = Input("op2", "TENSOR_INT32", "{2,1}") # another vector of 2 int32s +axis = Int32Scalar("axis", 2) +i3 = Output("op3", "TENSOR_FLOAT32", "{2,3,2,1}") # a vector of 12 float32s +model = model.Operation("GATHER_EX", i1, i2, axis).To(i3) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789, + 7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789, + 2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 13.123456789123456789, 14.123456789123456789, 15.123456789123456789, 16.123456789123456789, + 17.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, + 12.123456789123456789, 28.123456789123456789, 29.123456789123456789, 21.123456789123456789], + i2: # input 1 + [3, 1]} + +output0 = {i3: # output 0 + [6.123456789123456789, 4.123456789123456789, 1.123456789123456789, 8.123456789123456789, + 11.123456789123456789, 18.123456789123456789, 16.123456789123456789, 14.123456789123456789, + 11.123456789123456789, 18.123456789123456789, 21.123456789123456789, 28.123456789123456789]} + +# Instantiate an example +Example((input0, output0))