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  /cts/tests/tests/renderscript/src/android/renderscript/cts/generated/
TestNextafter.rs 24 float __attribute__((kernel)) testNextafterFloatFloatFloat(float inV, unsigned int x) {
29 float2 __attribute__((kernel)) testNextafterFloat2Float2Float2(float2 inV, unsigned int x) {
34 float3 __attribute__((kernel)) testNextafterFloat3Float3Float3(float3 inV, unsigned int x) {
39 float4 __attribute__((kernel)) testNextafterFloat4Float4Float4(float4 inV, unsigned int x) {
TestRootn.rs 24 float __attribute__((kernel)) testRootnFloatIntFloat(float inV, unsigned int x) {
29 float2 __attribute__((kernel)) testRootnFloat2Int2Float2(float2 inV, unsigned int x) {
34 float3 __attribute__((kernel)) testRootnFloat3Int3Float3(float3 inV, unsigned int x) {
39 float4 __attribute__((kernel)) testRootnFloat4Int4Float4(float4 inV, unsigned int x) {
TestMax.rs 24 float __attribute__((kernel)) testMaxFloatFloatFloat(float inA, unsigned int x) {
29 float2 __attribute__((kernel)) testMaxFloat2Float2Float2(float2 inA, unsigned int x) {
34 float3 __attribute__((kernel)) testMaxFloat3Float3Float3(float3 inA, unsigned int x) {
39 float4 __attribute__((kernel)) testMaxFloat4Float4Float4(float4 inA, unsigned int x) {
44 half __attribute__((kernel)) testMaxHalfHalfHalf(half inA, unsigned int x) {
49 half2 __attribute__((kernel)) testMaxHalf2Half2Half2(half2 inA, unsigned int x) {
54 half3 __attribute__((kernel)) testMaxHalf3Half3Half3(half3 inA, unsigned int x) {
59 half4 __attribute__((kernel)) testMaxHalf4Half4Half4(half4 inA, unsigned int x) {
64 float2 __attribute__((kernel)) testMaxFloat2FloatFloat2(float2 inA, unsigned int x) {
69 float3 __attribute__((kernel)) testMaxFloat3FloatFloat3(float3 inA, unsigned int x)
    [all...]
TestMin.rs 24 float __attribute__((kernel)) testMinFloatFloatFloat(float inA, unsigned int x) {
29 float2 __attribute__((kernel)) testMinFloat2Float2Float2(float2 inA, unsigned int x) {
34 float3 __attribute__((kernel)) testMinFloat3Float3Float3(float3 inA, unsigned int x) {
39 float4 __attribute__((kernel)) testMinFloat4Float4Float4(float4 inA, unsigned int x) {
44 half __attribute__((kernel)) testMinHalfHalfHalf(half inA, unsigned int x) {
49 half2 __attribute__((kernel)) testMinHalf2Half2Half2(half2 inA, unsigned int x) {
54 half3 __attribute__((kernel)) testMinHalf3Half3Half3(half3 inA, unsigned int x) {
59 half4 __attribute__((kernel)) testMinHalf4Half4Half4(half4 inA, unsigned int x) {
64 float2 __attribute__((kernel)) testMinFloat2FloatFloat2(float2 inA, unsigned int x) {
69 float3 __attribute__((kernel)) testMinFloat3FloatFloat3(float3 inA, unsigned int x)
    [all...]
TestLdexp.rs 24 float __attribute__((kernel)) testLdexpFloatIntFloat(float inMantissa, unsigned int x) {
29 float2 __attribute__((kernel)) testLdexpFloat2Int2Float2(float2 inMantissa, unsigned int x) {
34 float3 __attribute__((kernel)) testLdexpFloat3Int3Float3(float3 inMantissa, unsigned int x) {
39 float4 __attribute__((kernel)) testLdexpFloat4Int4Float4(float4 inMantissa, unsigned int x) {
44 float2 __attribute__((kernel)) testLdexpFloat2IntFloat2(float2 inMantissa, unsigned int x) {
49 float3 __attribute__((kernel)) testLdexpFloat3IntFloat3(float3 inMantissa, unsigned int x) {
54 float4 __attribute__((kernel)) testLdexpFloat4IntFloat4(float4 inMantissa, unsigned int x) {
TestMix.rs 25 float __attribute__((kernel)) testMixFloatFloatFloatFloat(float inStart, unsigned int x) {
31 float2 __attribute__((kernel)) testMixFloat2Float2Float2Float2(float2 inStart, unsigned int x) {
37 float3 __attribute__((kernel)) testMixFloat3Float3Float3Float3(float3 inStart, unsigned int x) {
43 float4 __attribute__((kernel)) testMixFloat4Float4Float4Float4(float4 inStart, unsigned int x) {
49 half __attribute__((kernel)) testMixHalfHalfHalfHalf(half inStart, unsigned int x) {
55 half2 __attribute__((kernel)) testMixHalf2Half2Half2Half2(half2 inStart, unsigned int x) {
61 half3 __attribute__((kernel)) testMixHalf3Half3Half3Half3(half3 inStart, unsigned int x) {
67 half4 __attribute__((kernel)) testMixHalf4Half4Half4Half4(half4 inStart, unsigned int x) {
73 float2 __attribute__((kernel)) testMixFloat2Float2FloatFloat2(float2 inStart, unsigned int x) {
79 float3 __attribute__((kernel)) testMixFloat3Float3FloatFloat3(float3 inStart, unsigned int x)
    [all...]
TestClamp.rs 25 float __attribute__((kernel)) testClampFloatFloatFloatFloat(float inValue, unsigned int x) {
31 float2 __attribute__((kernel)) testClampFloat2Float2Float2Float2(float2 inValue, unsigned int x) {
37 float3 __attribute__((kernel)) testClampFloat3Float3Float3Float3(float3 inValue, unsigned int x) {
43 float4 __attribute__((kernel)) testClampFloat4Float4Float4Float4(float4 inValue, unsigned int x) {
49 float2 __attribute__((kernel)) testClampFloat2FloatFloatFloat2(float2 inValue, unsigned int x) {
55 float3 __attribute__((kernel)) testClampFloat3FloatFloatFloat3(float3 inValue, unsigned int x) {
61 float4 __attribute__((kernel)) testClampFloat4FloatFloatFloat4(float4 inValue, unsigned int x) {
67 char __attribute__((kernel)) testClampCharCharCharChar(char inValue, unsigned int x) {
73 char2 __attribute__((kernel)) testClampChar2Char2Char2Char2(char2 inValue, unsigned int x) {
79 char3 __attribute__((kernel)) testClampChar3Char3Char3Char3(char3 inValue, unsigned int x)
    [all...]
  /device/google/contexthub/util/
nanohub_os_update_prepare.sh 37 # to be consumed by BL it has to be named nanohub.kernel.signed
39 nanoapp_sign -s -e ${priv} -m ${pub} -r ${raw_image}.oshdr nanohub.kernel.signed
43 nanoapp_postprocess -n os nanohub.kernel.signed ${raw_image}.napp
  /external/opencv3/modules/cudafilters/src/cuda/
column_filter.16sc1.cu 49 template void linearColumn<float, short>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
column_filter.16uc1.cu 49 template void linearColumn<float, unsigned short>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
column_filter.32fc1.cu 49 template void linearColumn<float, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
column_filter.32sc1.cu 49 template void linearColumn<float, int>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
column_filter.8uc1.cu 49 template void linearColumn<float, uchar>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
row_filter.16sc1.cu 49 template void linearRow<short, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
row_filter.16uc1.cu 49 template void linearRow<unsigned short, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
row_filter.32fc1.cu 49 template void linearRow<float, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
row_filter.32sc1.cu 49 template void linearRow<int, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
row_filter.8uc1.cu 49 template void linearRow<uchar, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
  /external/autotest/client/tests/sparse/
sparse.py 2 from autotest_lib.client.bin import test, utils, kernel namespace
25 kernel = self.job.kernel(base_tree, self.resultsdir)
26 kernel.patch(patches)
27 kernel.config(config, config_list)
31 kernel.build(make_opts = 'C=1', logfile = results)
  /external/vboot_reference/scripts/keygeneration/
increment_kernel_subkey_and_key.sh 6 # Script to increment kernel subkey and datakey for firmware updates.
19 Increments the kernel subkey, data key and firmware version in the
37 Generating new kernel subkey, data keys and new kernel keyblock.
39 New Firmware version (due to kernel subkey change): ${new_firm_ver}.
40 New Kernel key version (due to kernel datakey change): ${new_kernkey_ver}.
44 make_keyblock kernel ${KERNEL_KEYBLOCK_MODE} kernel_data_key kernel_subkey
  /system/core/libion/
Android.mk 8 LOCAL_C_INCLUDES := $(LOCAL_PATH)/include $(LOCAL_PATH)/kernel-headers
9 LOCAL_EXPORT_C_INCLUDE_DIRS := $(LOCAL_PATH)/include $(LOCAL_PATH)/kernel-headers
17 LOCAL_C_INCLUDES := $(LOCAL_PATH)/include $(LOCAL_PATH)/kernel-headers
  /external/autotest/server/
deb_kernel_unittest.py 14 self.kernel = deb_kernel.DEBKernel()
26 self.kernel.source_material = "source.rpm"
27 basename = os.path.basename(self.kernel.source_material)
31 self.host.send_file.expect_call(self.kernel.source_material,
45 utils.sh_escape(self.kernel.source_material)).and_return(result)
47 utils.sh_escape(self.kernel.source_material)).and_return(result)
51 utils.sh_escape(self.kernel.source_material)).and_return(result)
53 utils.sh_escape(self.kernel.source_material)).and_return(result)
58 self.kernel.install(self.host)
73 self.kernel.extract(self.host
    [all...]
rpm_kernel_unittest.py 14 self.kernel = rpm_kernel.RPMKernel()
16 self.kernel.source_material = "source.rpm"
27 self.god.stub_function(self.kernel, "get_image_name")
28 self.god.stub_function(self.kernel, "get_vmlinux_name")
29 rpm = self.kernel.source_material
40 self.kernel.get_image_name.expect_call().and_return("vmlinuz")
44 self.kernel.get_vmlinux_name.expect_call().and_return("/boot/vmlinux")
54 self.kernel.install(host)
69 self.assertEquals(self.kernel.get_version(), result.stdout)
82 self.assertEquals(self.kernel.get_image_name(), result.stdout
    [all...]
  /device/common/
populate-new-device.sh 24 mkdir -p device/$1/$2-kernel
111 LOCAL_KERNEL := device/$1/$2-kernel/kernel
117 \$(LOCAL_KERNEL):kernel
148 touch device/$1/$2-kernel/kernel
149 touch device/$1/$2-kernel/MODULE_LICENSE_GPL
  /frameworks/rs/api/
rs_for_each.spec 18 summary: Kernel Invocation Functions and Types
20 The @rsForEach() function can be used to invoke the root kernel of a script.
23 an executing kernel, like dimensions and current indices. These functions take
38 This type is used to suggest how the invoked kernel should iterate over the cells of the
41 This specification can help the caching behavior of the running kernel, e.g. the cache
48 summary: Handle to a kernel invocation context
50 The kernel context contains common characteristics of the allocations being iterated
54 You can access the kernel context by adding a special parameter named "context" of type
55 rs_kernel_context to your kernel function. See @rsGetDimX() and @rsGetArray0() for examples.
89 summary: Handle to a kernel functio
    [all...]

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