| /aosp12/system/extras/simpleperf/ |
| H A D | cmd_debug_unwind_test.cpp | 39 std::string input_data = GetTestData(PERF_DATA_NO_UNWIND); in TEST() local
48 std::string input_data = GetTestData(PERF_DATA_NO_UNWIND); in TEST() local
62 std::string input_data = GetTestData(PERF_DATA_NO_UNWIND); in TEST() local
73 std::string input_data = GetTestData(NATIVELIB_IN_APK_PERF_DATA); in TEST() local
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| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| H A D | unidirectional_sequence_rnn.mod.py | 20 activation, time_major, output, input_data, weights_data, argument
49 input_data = [ variable
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| H A D | abs.mod.py | 21 input_data = [(i - 60) / 10 for i in range(120)] variable
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| H A D | exp.mod.py | 23 input_data = [(i - 60) / 10 for i in range(120)] variable
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| H A D | log.mod.py | 23 input_data = [(i + 1) / 10 for i in range(120)] variable
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| H A D | neg.mod.py | 21 input_data = [(i - 60) / 10 for i in range(120)] variable
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| H A D | rsqrt.mod.py | 23 input_data = [(i + 1) / 10 for i in range(120)] variable
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| H A D | sin.mod.py | 23 input_data = [(i - 60) / 10 for i in range(120)] variable
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| H A D | sqrt.mod.py | 23 input_data = [i / 10 for i in range(120)] variable
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| H A D | gather.mod.py | 17 def test(input0, axis, indices, output0, input_data, output_data): argument
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| H A D | log_softmax.mod.py | 19 def test(input0, output0, input_data, beta, axis, output_data): argument
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| H A D | reduce_all.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | reduce_any.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | reduce_max.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | reduce_min.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | reduce_prod.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | reduce_sum.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| H A D | unidirectional_sequence_rnn.mod.py | 20 activation, time_major, output, output_state, input_data, weights_data, argument
52 input_data = [ variable
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| H A D | abs_int32.mod.py | 21 input_data = [i - 60 for i in range(119)] + [-(2 ** 24 + 1)] variable
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| H A D | reduce_max_quant8_signed.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | reduce_min_quant8_signed.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
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| H A D | if_same_branch_model.mod.py | 20 input_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] variable
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| H A D | if_simple.mod.py | 19 input_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] variable
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| H A D | gather_quant8_signed.mod.py | 46 def test(input0, axis, indices, output0, input_data, output_data): argument
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| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/ |
| H A D | if_simple_unknown_dimension.mod.py | 19 input_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] variable
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