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/packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/
Dwhile_fib_unknown_dimension.mod.py95 def Test(n_data, fib_data, add_unused_output=False): argument
97 fib_out = Output("fib_out", ["TENSOR_FLOAT32", [1, len(fib_data)]]) # Known dimensions.
124 example = Example({n: [n_data], fib_out: fib_data}, name=name)
128 Test(n_data=2, fib_data=[1, 1], add_unused_output=True)
129 Test(n_data=3, fib_data=[1, 1, 2], add_unused_output=True)
130 Test(n_data=4, fib_data=[1, 1, 2, 3], add_unused_output=True)
131 Test(n_data=5, fib_data=[1, 1, 2, 3, 5])
132 Test(n_data=6, fib_data=[1, 1, 2, 3, 5, 8])
Dwhile_fib_unknown_rank.mod.py95 def Test(n_data, fib_data, add_unused_output=False): argument
97 fib_out = Output("fib_out", ["TENSOR_FLOAT32", [1, len(fib_data)]]) # Known dimensions.
124 example = Example({n: [n_data], fib_out: fib_data}, name=name)
128 Test(n_data=2, fib_data=[1, 1], add_unused_output=True)
129 Test(n_data=3, fib_data=[1, 1, 2], add_unused_output=True)
130 Test(n_data=4, fib_data=[1, 1, 2, 3], add_unused_output=True)
131 Test(n_data=5, fib_data=[1, 1, 2, 3, 5])
132 Test(n_data=6, fib_data=[1, 1, 2, 3, 5, 8])
/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
Dwhile_fib.mod.py80 def Test(n_data, fib_data, add_unused_output=False): argument
109 example = Example({n: [n_data], fib_out: fib_data}, name=name)
116 Test(n_data=1, fib_data=[1, 1], add_unused_output=True)
117 Test(n_data=2, fib_data=[1, 2], add_unused_output=True)
118 Test(n_data=3, fib_data=[2, 3], add_unused_output=True)
119 Test(n_data=4, fib_data=[3, 5])
120 Test(n_data=5, fib_data=[5, 8])