Home
last modified time | relevance | path

Searched refs:rng (Results 1 – 25 of 36) sorted by relevance

12

/packages/modules/Virtualization/pvmfw/testdata/
Dtest_pvmfw_devices_vm_dtbo_with_duplicated_iommus.dts8 rng {
11 android,pvmfw,target = <&rng>;
26 rng: rng { label
27 compatible = "android,rng";
28 android,rng,ignore-gctrl-reset;
Dtest_pvmfw_devices_vm_dtbo.dts8 rng {
11 android,pvmfw,target = <&rng>;
47 rng: rng { label
48 compatible = "android,rng";
49 android,rng,ignore-gctrl-reset;
Dtest_pvmfw_devices_vm_dtbo_without_symbols.dts8 rng {
47 fragment@rng {
50 rng {
51 compatible = "android,rng";
52 android,rng,ignore-gctrl-reset;
96 rng {
Dtest_pvmfw_devices_with_rng.dts6 rng@90000000 {
7 compatible = "android,rng";
Dtest_pvmfw_devices_with_iommu_sharing.dts6 rng@90000000 {
7 compatible = "android,rng";
Dtest_pvmfw_devices_with_multiple_devices_iommus.dts5 rng@90000000 {
6 compatible = "android,rng";
Dtest_pvmfw_devices_with_iommu_id_conflict.dts6 rng@90000000 {
7 compatible = "android,rng";
/packages/modules/NeuralNetworks/common/random/
Drandom.cc37 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()
/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
Drelu_quant8_2.mod.py32 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)])()
Drelu_float_2.mod.py32 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)])()
Drelu6_quant8_2.mod.py32 rng = d0 * d1 * d2 * d3 variable
33 input_values = (lambda r = rng: [x % 256 for x in range(r)])()
Drelu1_quant8_2.mod.py32 rng = d0 * d1 * d2 * d3 variable
33 input_values = (lambda r = rng: [x % 256 for x in range(r)])()
Drelu6_float_2.mod.py32 rng = d0 * d1 * d2 * d3 variable
33 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
Drelu1_float_2.mod.py32 rng = d0 * d1 * d2 * d3 variable
33 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
Dlogistic_float_2.mod.py34 rng = d0 * d1 * d2 * d3 variable
35 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
Dlogistic_quant8_2.mod.py34 rng = d0 * d1 * d2 * d3 variable
35 input_values = (lambda r = rng: [x % 256 for x in range(r)])()
/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
Drelu_float_2_relaxed.mod.py33 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)])()
Drelu6_float_2_relaxed.mod.py33 rng = d0 * d1 * d2 * d3 variable
34 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
Drelu1_float_2_relaxed.mod.py33 rng = d0 * d1 * d2 * d3 variable
34 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
Dlogistic_float_2_relaxed.mod.py35 rng = d0 * d1 * d2 * d3 variable
36 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
Drelu_v1_2.mod.py41 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)])()
Drelu1_v1_2.mod.py41 rng = d0 * d1 * d2 * d3 variable
42 input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
Dlogistic_v1_2.mod.py49 rng = d0 * d1 * d2 * d3 variable
50 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
/packages/modules/Virtualization/docs/
Ddevice_assignment.md106 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";
/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
Drelu_quant8_signed.mod.py60 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)])()

12