/packages/modules/Virtualization/pvmfw/testdata/ |
D | test_pvmfw_devices_vm_dtbo_with_duplicated_iommus.dts | 8 rng { 11 android,pvmfw,target = <&rng>; 26 rng: rng { label 27 compatible = "android,rng"; 28 android,rng,ignore-gctrl-reset;
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D | test_pvmfw_devices_vm_dtbo.dts | 8 rng { 11 android,pvmfw,target = <&rng>; 47 rng: rng { label 48 compatible = "android,rng"; 49 android,rng,ignore-gctrl-reset;
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D | test_pvmfw_devices_vm_dtbo_without_symbols.dts | 8 rng { 47 fragment@rng { 50 rng { 51 compatible = "android,rng"; 52 android,rng,ignore-gctrl-reset; 96 rng {
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D | test_pvmfw_devices_with_rng.dts | 6 rng@90000000 { 7 compatible = "android,rng";
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D | test_pvmfw_devices_with_iommu_sharing.dts | 6 rng@90000000 { 7 compatible = "android,rng";
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D | test_pvmfw_devices_with_multiple_devices_iommus.dts | 5 rng@90000000 { 6 compatible = "android,rng";
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D | test_pvmfw_devices_with_iommu_id_conflict.dts | 6 rng@90000000 { 7 compatible = "android,rng";
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/packages/modules/NeuralNetworks/common/random/ |
D | random.cc | 37 static std::mt19937_64* rng = InitRngWithRandomSeed(); in New64() local 40 return (*rng)(); in New64() 44 static std::mt19937_64 rng = InitRngWithDefaultSeed(); in New64DefaultSeed() local 47 return rng(); in New64DefaultSeed()
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
D | relu_quant8_2.mod.py | 32 rng = d0 * d1 * d2 * d3 variable 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])() 35 output_values = (lambda r = rng: [x % 256 if x % 256 > 128 else 128 for x in range(r)])()
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D | relu_float_2.mod.py | 32 rng = d0 * d1 * d2 * d3 variable 33 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 for x in range(r)])() 35 output_values = (lambda r = rng: [x * (x % 2) for x in range(r)])()
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D | relu6_quant8_2.mod.py | 32 rng = d0 * d1 * d2 * d3 variable 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])()
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D | relu1_quant8_2.mod.py | 32 rng = d0 * d1 * d2 * d3 variable 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])()
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D | relu6_float_2.mod.py | 32 rng = d0 * d1 * d2 * d3 variable 33 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
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D | relu1_float_2.mod.py | 32 rng = d0 * d1 * d2 * d3 variable 33 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
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D | logistic_float_2.mod.py | 34 rng = d0 * d1 * d2 * d3 variable 35 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
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D | logistic_quant8_2.mod.py | 34 rng = d0 * d1 * d2 * d3 variable 35 input_values = (lambda r = rng: [x % 256 for x in range(r)])()
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
D | relu_float_2_relaxed.mod.py | 33 rng = d0 * d1 * d2 * d3 variable 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 for x in range(r)])() 36 output_values = (lambda r = rng: [x * (x % 2) for x in range(r)])()
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D | relu6_float_2_relaxed.mod.py | 33 rng = d0 * d1 * d2 * d3 variable 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
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D | relu1_float_2_relaxed.mod.py | 33 rng = d0 * d1 * d2 * d3 variable 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
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D | logistic_float_2_relaxed.mod.py | 35 rng = d0 * d1 * d2 * d3 variable 36 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
D | relu_v1_2.mod.py | 41 rng = d0 * d1 * d2 * d3 variable 42 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 for x in range(r)])() 44 output_values = (lambda r = rng: [x * (x % 2) for x in range(r)])()
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D | relu1_v1_2.mod.py | 41 rng = d0 * d1 * d2 * d3 variable 42 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
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D | logistic_v1_2.mod.py | 49 rng = d0 * d1 * d2 * d3 variable 50 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
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/packages/modules/Virtualization/docs/ |
D | device_assignment.md | 106 rng { 109 android,pvmfw,target = <&rng>; 146 rng: rng { 147 compatible = "android,rng"; 148 android,rng,ignore-gctrl-reset; 176 rng = "/fragment@rng/__overlay__/rng";
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
D | relu_quant8_signed.mod.py | 60 rng = d0 * d1 * d2 * d3 variable 61 input_values = (lambda r = rng: [x % 256 for x in range(r)])() 63 output_values = (lambda r = rng: [x % 256 if x % 256 > 128 else 128 for x in range(r)])()
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