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  /frameworks/rs/rsov/compiler/spirit/
module_test.cpp 171 auto kernel = m->getFunctionDefinitionFromInstruction(i); local
172 ASSERT_NE(nullptr, kernel);
174 EXPECT_NE(nullptr, kernel->getParameter(0));
175 EXPECT_NE(nullptr, kernel->getReturnType());
  /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/utils/google-benchmark/src/
timers.cc 67 ULARGE_INTEGER kernel; local
69 kernel.HighPart = kernel_time.dwHighDateTime;
70 kernel.LowPart = kernel_time.dwLowDateTime;
73 return (static_cast<double>(kernel.QuadPart) +
  /external/autotest/tko/
frontend.py 96 'kernel' : 'kernel_printable',
113 def kernel_encode(kernel):
114 return kernel_versions.version_encode(kernel)
184 class kernel: class in inherits:
259 def kernel(self): member in class:test
265 self.__kernel = kernel.select(self.db, where)[0]
models.py 70 class kernel(object): class in inherits:object
71 """Represents a kernel."""
83 @param base: A string representing the kernel base.
85 patch of this kernel.
104 self.kernel = test_kernel
154 @param test_kernel: The kernel of the test.
221 @param test_kernel: The kernel of the test.
  /external/autotest/tko/parsers/
version_0.py 129 class kernel(models.kernel): class in inherits:models.kernel
131 kernel_dict = kernel.load_from_dir(job.dir, verify_ident)
132 super(kernel, self).__init__(**kernel_dict)
137 # try and load the booted kernel version
145 attributes = kernel.load_from_build_log(build_log)
155 base = kernel.load_from_sysinfo(dir)
160 tko_utils.dprint("kernel.__init__() found kernel version %s"
163 # compute the kernel has
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version_1.py 48 class kernel(models.kernel): class in inherits:models.kernel
49 """Represents a kernel."""
60 super(kernel, self).__init__(base, patches, kernel_hash)
221 # Get the base kernel version.
223 base = re.sub('-autotest$', '', fields.get('kernel', ''))
230 # Create a new kernel instance.
231 return kernel(base, patches)
313 current_kernel = kernel("", []) # UNKNOWN
447 # Update the current kernel if one is defined in the info
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  /external/libvpx/libvpx/vp9/encoder/
vp9_frame_scale.c 28 const InterpKernel *const kernel = vp9_filter_kernels[filter_type]; local
84 vpx_scaled_2d_c(src_ptr, src_stride, dst_ptr, dst_stride, kernel,
107 vpx_scaled_2d(src_ptr, src_stride, dst_ptr, dst_stride, kernel,
  /external/libxcam/tests/
test-image-deblurring.cpp 53 cv::Mat kernel; local
54 image_deblurring->blind_deblurring (input_image, output_image, kernel, -1, -1, false);
62 // use simple motion blur kernel
64 cv::Mat kernel = cv::Mat::zeros (kernel_size, kernel_size, CV_32FC1); local
67 kernel.at<float> ((kernel_size - 1) / 2, i) = 1.0;
69 kernel /= kernel_size;
70 //flip kernel to perform convolution
72 cv::flip (kernel, conv_kernel, -1);
80 wiener_filter->wiener_filter (blurred, kernel, output_image, noise_power);
  /external/ltp/testcases/cve/
cve-2016-4997.c 25 * call, so the test should be compiled with -m32 and run on a 64-bit kernel.
60 } kernel; member in union:xt_entry_match::__anon28507
78 } kernel; member in union:xt_entry_target::__anon28510
  /external/python/cpython3/Modules/_decimal/libmpdec/
fourstep.c 142 mpd_uint_t kernel, w0, w1, wstep; local
165 kernel = _mpd_getkernel(n, -1, modnum);
168 w1 = POWMOD(kernel, i); /* r**(i*1): initial value for k=1 */
203 mpd_uint_t kernel, w0, w1, wstep; local
232 kernel = _mpd_getkernel(n, 1, modnum);
235 w1 = POWMOD(kernel, i);
  /external/skia/gm/
imagefilters.cpp 142 const SkScalar kernel[] = { 4, 0, 4, 0, -15, 0, 4, 0, 4 }; local
147 { 3, 3 }, kernel, 1, 0, { 0, 0 },
  /external/skia/src/gpu/effects/
GrGaussianConvolutionFragmentProcessor.h 16 * A 1D Gaussian convolution effect. The kernel is computed as an array of 2 * half-width weights.
24 /// Convolve with a Gaussian kernel
35 const float* kernel() const { return fKernel; } function in class:GrGaussianConvolutionFragmentProcessor
54 // on a blur filter gives a kernel width of 25 while a sigma of 5.0
55 // would exceed a 32 wide kernel.
62 /// Convolve with a Gaussian kernel
79 // TODO: Inline the kernel constants into the generated shader code. This may involve pulling
GrMatrixConvolutionEffect.h 14 // Allows for a 5x5 kernel (or 25x1, for that matter).
22 const SkScalar* kernel,
29 new GrMatrixConvolutionEffect(std::move(proxy), bounds, kernelSize, kernel, gain,
47 const float* kernel() const { return fKernel; } function in class:GrMatrixConvolutionEffect
61 const SkScalar* kernel,
  /external/skqp/gm/
imagefilters.cpp 142 const SkScalar kernel[] = { 4, 0, 4, 0, -15, 0, 4, 0, 4 }; local
147 { 3, 3 }, kernel, 1, 0, { 0, 0 },
  /external/skqp/src/gpu/effects/
GrGaussianConvolutionFragmentProcessor.h 16 * A 1D Gaussian convolution effect. The kernel is computed as an array of 2 * half-width weights.
24 /// Convolve with a Gaussian kernel
35 const float* kernel() const { return fKernel; } function in class:GrGaussianConvolutionFragmentProcessor
54 // on a blur filter gives a kernel width of 25 while a sigma of 5.0
55 // would exceed a 32 wide kernel.
62 /// Convolve with a Gaussian kernel
79 // TODO: Inline the kernel constants into the generated shader code. This may involve pulling
GrMatrixConvolutionEffect.h 14 // Allows for a 5x5 kernel (or 25x1, for that matter).
22 const SkScalar* kernel,
29 new GrMatrixConvolutionEffect(std::move(proxy), bounds, kernelSize, kernel, gain,
47 const float* kernel() const { return fKernel; } function in class:GrMatrixConvolutionEffect
61 const SkScalar* kernel,
  /external/tensorflow/tensorflow/c/eager/
runtime.h 149 // KernelAndDevice encapsulates an instantiated kernel and the device it is on.
157 // Populates 'out' with a kernel appropriate for 'ndef'.
181 const OpKernel* kernel() const { return kernel_.get(); } function in class:tensorflow::KernelAndDevice
  /external/tensorflow/tensorflow/compiler/xla/service/cpu/
conv_canonicalization.cc 51 // - the kernel is in HWIO order.
77 HloInstruction* kernel = hlo->mutable_operand(1); local
84 kernel->shape().dimensions(dnums.kernel_spatial_dimensions(i));
88 kernel->shape().dimensions(kernel_input_feature_dim);
91 kernel->shape().dimensions(kernel_output_feature_dim);
94 ShapeUtil::MakeShape(kernel->shape().element_type(), new_kernel_dims);
96 HloInstruction::CreateTranspose(new_kernel_shape, kernel,
conv_canonicalization_test.cc 64 // The kernel dimensions are in OIHW order.
65 auto kernel = builder.AddInstruction(HloInstruction::CreateConstant( local
86 input, kernel, conv_window_, dnums));
107 // The kernel is in OIHW order. kernel_reshape should produce
122 // The kernel dimensions are in HWIO order.
123 auto kernel = builder.AddInstruction(HloInstruction::CreateConstant( local
144 input, kernel, conv_window_, dnums));
  /external/tensorflow/tensorflow/compiler/xla/service/gpu/
cudnn_convolution_rewriter_test.cc 244 HloInstruction* kernel = local
246 1, ShapeUtil::MakeShape(F32, {5, 3, 7, 7}), "kernel"));
248 HloInstruction::CreateReverse(kernel->shape(), kernel, {2, 3}));
310 HloInstruction* kernel = local
312 1, ShapeUtil::MakeShape(F32, {1, 1, 1, 1}), "kernel"));
318 ShapeInference::InferConvolveShape(output->shape(), kernel->shape(),
322 /*lhs=*/output, /*rhs=*/kernel, conv_window,
345 HloInstruction* kernel = local
347 1, ShapeUtil::MakeShape(F32, {1, 1, 1, 1}), "kernel"));
386 HloInstruction* kernel = local
434 HloInstruction* kernel = local
488 HloInstruction* kernel = local
542 HloInstruction* kernel = local
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  /frameworks/rs/cpu_ref/
rsCpuIntrinsicLUT.cpp 38 static void kernel(const RsExpandKernelDriverInfo *info,
50 void RsdCpuScriptIntrinsicLUT::kernel(const RsExpandKernelDriverInfo *info, function in class:android::renderscript::RsdCpuScriptIntrinsicLUT
80 mRootPtr = &kernel;
  /cts/tests/tests/renderscript/src/android/renderscript/cts/refocus/d1new/
KernelDataForRenderScriptd1new.java 27 * A class that manages the blur kernel matrices of a blending layer that
32 * A stack of blur kernel matrices packed into a continuous memory buffer.
78 * Returns the kernel matrix of a depth level.
80 * @param diskRadius disk radius of the kernel.
81 * @return the kernel matrix of the disk radius.
89 * Generates a blur kernel matrix for a blur disk with radius
93 * @param kernelRadius radius of blur kernel matrix
94 * @return a kernel matrix represented as an array
101 float[] kernel = new float[kernelLength]; local
102 Arrays.fill(kernel, 0)
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  /cts/tests/tests/renderscript/src/android/renderscript/cts/refocus/f32/
KernelDataForRenderScriptF32.java 28 * A class that manages the blur kernel matrices of a blending layer that
33 * A stack of blur kernel matrices packed into a continuous memory buffer.
77 * Returns the kernel matrix of a depth level.
79 * @param diskRadius disk radius of the kernel.
80 * @return the kernel matrix of the disk radius.
88 * Generates a blur kernel matrix for a blur disk with radius
92 * @param kernelRadius radius of blur kernel matrix
93 * @return a kernel matrix represented as an array
100 float[] kernel = new float[kernelLength]; local
101 Arrays.fill(kernel, 0)
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  /external/adhd/cras/src/dsp/
drc.h 28 * can have its own parameters. If a kernel is disabled, it only delays the
45 * |kernel| |kernel| |kernel|
127 struct drc_kernel kernel[DRC_NUM_KERNELS]; member in struct:drc
175 * index - The index of the kernel we want to set its parameter.
  /external/gemmlowp/meta/
base.h 38 typedef Kernel_ Kernel;
41 Kernel kernel; member in struct:gemmlowp::meta::FusedKernelParams
53 typedef Kernel_ Kernel;
56 typedef FusedKernelParams<Kernel, OutputStream> FusedKernel;
100 template <typename InType, typename OutType, typename Kernel,
105 const FusedKernelParams<Kernel, OutputStream>& params,
113 typedef Kernel_ Kernel;
119 Kernel kernel; member in struct:gemmlowp::meta::Transform1DParams
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