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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/Ex/gather_2D_float.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/Ex/gather_2D_float.mod.py | 22 |
1 files changed, 0 insertions, 22 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/Ex/gather_2D_float.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/gather_2D_float.mod.py deleted file mode 100644 index 5f678c643..000000000 --- a/runtimes/tests/neural_networks_test/specs/Ex/gather_2D_float.mod.py +++ /dev/null @@ -1,22 +0,0 @@ -# model -model = Model() -i1 = Input("op1", "TENSOR_FLOAT32", "{3,4}") # a vector of 2 float32s -i2 = Input("op2", "TENSOR_INT32", "{2}") # another vector of 2 int32s -axis = Int32Scalar("axis", 0) -i3 = Output("op3", "TENSOR_FLOAT32", "{2,4}") -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], - i2: # input 1 - [2, 0]} - -output0 = {i3: # output 0 - [2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789, - 3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789]} - -# Instantiate an example -Example((input0, output0)) |