| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | while_fib.mod.py | 80 def Test(n_data, fib_data, add_unused_output=False): argument
106 name = "n_{}".format(n_data)
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])
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| D | while_sum_of_powers.mod.py | 92 def Test(x_data, n_data, sum_data): argument
104 n: [n_data],
106 }, name="n_{}".format(n_data))
112 Test(x_data=[2, 3], n_data=0, sum_data=[1, 1])
113 Test(x_data=[2, 3], n_data=1, sum_data=[1 + 2, 1 + 3])
114 Test(x_data=[2, 3], n_data=2, sum_data=[1 + 2 + 4, 1 + 3 + 9])
115 Test(x_data=[2, 3], n_data=3, sum_data=[1 + 2 + 4 + 8, 1 + 3 + 9 + 27])
116 Test(x_data=[2, 3], n_data=4, sum_data=[1 + 2 + 4 + 8 + 16, 1 + 3 + 9 + 27 + 81])
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| D | while_sum_of_powers_quant8.mod.py | 98 def Test(x_data, n_data, sum_data): argument
110 n: [n_data],
112 }, name="n_{}".format(n_data))
115 Test(x_data=[2, 3], n_data=0, sum_data=[1, 1])
116 Test(x_data=[2, 3], n_data=1, sum_data=[1 + 2, 1 + 3])
117 Test(x_data=[2, 3], n_data=2, sum_data=[1 + 2 + 4, 1 + 3 + 9])
118 Test(x_data=[2, 3], n_data=3, sum_data=[1 + 2 + 4 + 8, 1 + 3 + 9 + 27])
119 Test(x_data=[2, 3], n_data=4, sum_data=[1 + 2 + 4 + 8 + 16, 1 + 3 + 9 + 27 + 81])
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| D | while_sum_of_powers_quant8_signed.mod.py | 98 def Test(x_data, n_data, sum_data): argument
110 n: [n_data],
112 }, name="n_{}".format(n_data))
115 Test(x_data=[2, 3], n_data=0, sum_data=[1, 1])
116 Test(x_data=[2, 3], n_data=1, sum_data=[1 + 2, 1 + 3])
117 Test(x_data=[2, 3], n_data=2, sum_data=[1 + 2 + 4, 1 + 3 + 9])
118 Test(x_data=[2, 3], n_data=3, sum_data=[1 + 2 + 4 + 8, 1 + 3 + 9 + 27])
119 Test(x_data=[2, 3], n_data=4, sum_data=[1 + 2 + 4 + 8 + 16, 1 + 3 + 9 + 27 + 81])
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/ |
| D | while_fib_unknown_dimension.mod.py | 95 def Test(n_data, fib_data, add_unused_output=False): argument
121 name = "n_{}".format(n_data)
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])
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| D | while_fib_unknown_rank.mod.py | 95 def Test(n_data, fib_data, add_unused_output=False): argument
121 name = "n_{}".format(n_data)
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])
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