| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | tile_quant8_signed.mod.py | 23 input_values = [1.2, -3.4, 5.6] variable
46 input_values = [11, 12, 13, variable
73 input_values = [11, 12, 13, variable
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| /packages/modules/Virtualization/libs/dice/sample_inputs/src/ |
| D | sample_inputs.rs | 124 let input_values = InputValues::new( in make_sample_bcc_and_cdis() localVariable
157 let input_values = InputValues::new( in make_sample_bcc_and_cdis() localVariable
182 let input_values = InputValues::new( in make_sample_bcc_and_cdis() localVariable
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| /packages/modules/Virtualization/libs/libservice_vm_fake_chain/src/ |
| D | service_vm.rs | 122 let input_values = InputValues::new( in fake_dice_artifacts_up_to_pvmfw() localVariable
165 let input_values = InputValues::new( in fake_service_vm_dice_artifacts() localVariable
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| D | client_vm.rs | 108 let input_values = InputValues::new( in fake_client_vm_dice_artifacts() localVariable
131 let input_values = InputValues::new( in fake_client_vm_dice_artifacts() localVariable
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| /packages/modules/NeuralNetworks/runtime/test/specs/AIDL_V3/ |
| D | mirror_pad_tensorflow.mod.py | 20 def test(name, input_dims, input_values, paddings, mode, output_dims, output_values): argument
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | tile_1.mod.py | 23 input_values = [1.2, -3.4, 5.6] variable
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| D | tile_2.mod.py | 23 input_values = [11, 12, 13, variable
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| D | tile_3.mod.py | 23 input_values = [11, 12, 13, variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | relu6_float_2.mod.py | 33 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])() variable
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| D | relu_quant8_2.mod.py | 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])() variable
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| D | relu_float_2.mod.py | 33 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 for x in range(r)])() variable
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| D | relu6_quant8_2.mod.py | 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])() variable
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| D | relu1_float_2.mod.py | 33 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])() variable
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| D | relu1_quant8_2.mod.py | 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])() variable
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| D | logistic_float_2.mod.py | 35 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])() variable
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| D | logistic_quant8_2.mod.py | 35 input_values = (lambda r = rng: [x % 256 for x in range(r)])() variable
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| D | avg_pool_float_4.mod.py | 45 input_values = [10 for _ in range(bat * row * col * chn)] variable
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| D | avg_pool_float_3.mod.py | 45 input_values = [x % 2 for x in range(bat * row * col * chn)] variable
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| D | avg_pool_float_2.mod.py | 45 input_values = [1. for _ in range(bat * row * col * chn)] variable
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| D | avg_pool_quant8_2.mod.py | 45 input_values = [255 for _ in range(bat * row * col * chn)] variable
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| D | avg_pool_quant8_3.mod.py | 45 input_values = [x % 4 * 2 for x in range(bat * row * col * chn)] variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | logistic_float_2_relaxed.mod.py | 36 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])() variable
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| D | relu1_float_2_relaxed.mod.py | 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])() variable
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| D | relu_float_2_relaxed.mod.py | 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 for x in range(r)])() variable
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| D | relu6_float_2_relaxed.mod.py | 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])() variable
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