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/aosp_15_r20/out/soong/.intermediates/frameworks/base/data/fonts/fonts.xml/android_arm64_armv8-2a_cortex-a55/
Dfonts.xml28 Order of appearance is also the tiebreaker for weight matching. This is
30 prefer the former when an 800 weight is requested. Since bold spans
31 effectively add 300 to the weight, this ensures that 900 is the bold
32 paired with the 500 weight, ensuring adequate contrast.
39 <font weight="100" style="normal">Roboto-Regular.ttf
44 <font weight="200" style="normal">Roboto-Regular.ttf
49 <font weight="300" style="normal">Roboto-Regular.ttf
54 <font weight="400" style="normal">Roboto-Regular.ttf
59 <font weight="500" style="normal">Roboto-Regular.ttf
64 <font weight="600" style="normal">Roboto-Regular.ttf
[all …]
/aosp_15_r20/out/target/product/shiba/system/etc/
Dfonts.xml28 Order of appearance is also the tiebreaker for weight matching. This is
30 prefer the former when an 800 weight is requested. Since bold spans
31 effectively add 300 to the weight, this ensures that 900 is the bold
32 paired with the 500 weight, ensuring adequate contrast.
39 <font weight="100" style="normal">Roboto-Regular.ttf
44 <font weight="200" style="normal">Roboto-Regular.ttf
49 <font weight="300" style="normal">Roboto-Regular.ttf
54 <font weight="400" style="normal">Roboto-Regular.ttf
59 <font weight="500" style="normal">Roboto-Regular.ttf
64 <font weight="600" style="normal">Roboto-Regular.ttf
[all …]
Dfont_fallback.xml10 <font weight="400" style="normal">CarroisGothicSC-Regular.ttf</font>
13 <font weight="400" style="normal" postScriptName="ComingSoon-Regular">ComingSoon.ttf</font>
16 <font weight="400" style="normal" postScriptName="CutiveMono-Regular">CutiveMono.ttf</font>
22 <font weight="400" style="normal">DroidSansMono.ttf</font>
37 <font weight="400" style="normal">SourceSansPro-Regular.ttf</font>
38 <font weight="400" style="italic">SourceSansPro-Italic.ttf</font>
39 <font weight="600" style="normal">SourceSansPro-SemiBold.ttf</font>
40 <font weight="600" style="italic">SourceSansPro-SemiBoldItalic.ttf</font>
41 <font weight="700" style="normal">SourceSansPro-Bold.ttf</font>
42 <font weight="700" style="italic">SourceSansPro-BoldItalic.ttf</font>
[all …]
/aosp_15_r20/out/target/product/shiba/obj/ETC/fonts.xml_intermediates/
Dfonts.xml28 Order of appearance is also the tiebreaker for weight matching. This is
30 prefer the former when an 800 weight is requested. Since bold spans
31 effectively add 300 to the weight, this ensures that 900 is the bold
32 paired with the 500 weight, ensuring adequate contrast.
39 <font weight="100" style="normal">Roboto-Regular.ttf
44 <font weight="200" style="normal">Roboto-Regular.ttf
49 <font weight="300" style="normal">Roboto-Regular.ttf
54 <font weight="400" style="normal">Roboto-Regular.ttf
59 <font weight="500" style="normal">Roboto-Regular.ttf
64 <font weight="600" style="normal">Roboto-Regular.ttf
[all …]
/aosp_15_r20/frameworks/base/data/fonts/
H A Dfonts.xml28 Order of appearance is also the tiebreaker for weight matching. This is
30 prefer the former when an 800 weight is requested. Since bold spans
31 effectively add 300 to the weight, this ensures that 900 is the bold
32 paired with the 500 weight, ensuring adequate contrast.
39 <font weight="100" style="normal">Roboto-Regular.ttf
44 <font weight="200" style="normal">Roboto-Regular.ttf
49 <font weight="300" style="normal">Roboto-Regular.ttf
54 <font weight="400" style="normal">Roboto-Regular.ttf
59 <font weight="500" style="normal">Roboto-Regular.ttf
64 <font weight="600" style="normal">Roboto-Regular.ttf
[all …]
/aosp_15_r20/external/robolectric/nativeruntime/src/main/resources/fonts/
H A Dfonts.xml16 Order of appearance is also the tiebreaker for weight matching. This is
18 prefer the former when an 800 weight is requested. Since bold spans
19 effectively add 300 to the weight, this ensures that 900 is the bold
20 paired with the 500 weight, ensuring adequate contrast.
27 <font weight="100" style="normal">Roboto-Regular.ttf
32 <font weight="200" style="normal">Roboto-Regular.ttf
37 <font weight="300" style="normal">Roboto-Regular.ttf
42 <font weight="400" style="normal">Roboto-Regular.ttf
47 <font weight="500" style="normal">Roboto-Regular.ttf
52 <font weight="600" style="normal">Roboto-Regular.ttf
[all …]
/aosp_15_r20/external/chromium-trace/catapult/systrace/systrace/test_data/
H A Dprofile-chrome_systrace_perf_chrome_data1 …weight": 297850, "ts": 196493621870.241, "cpu": 2, "comm": "ksoftirqd/2", "tid": 14106, "sf": 539}…
/aosp_15_r20/external/pytorch/test/nn/
H A Dtest_parametrization.py80 initial_weight_id = id(model.weight)
90 model, "weight", Resize()
95 parametrize.register_parametrization(model, "weight", Resize(), unsafe=True)
98 self.assertTrue(parametrize.is_parametrized(model, "weight"))
100 self.assertNotIn("weight", model._parameters)
101 self.assertTrue(model.weight.shape[0] == 1)
102 parametrize.remove_parametrizations(model, "weight", leave_parametrized=False)
104 self.assertEqual(model.weight, initial_model.weight)
105 self.assertEqual(id(model.weight), initial_weight_id)
109 parametrize.register_parametrization(model, "weight", Resize(), unsafe=True)
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H A Dtest_pruning.py101 names = ["weight", "bias"]
128 names = ["weight", "bias"]
145 names = ["weight", "bias"]
153 # weight = weight_orig * weight_mask
168 old_grad_weight = m.weight.grad.clone() # don't grab pointer!
169 self.assertEqual(old_grad_weight, torch.ones_like(m.weight))
177 prune.identity(m, name="weight")
201 old_grad_weight = m.weight.grad.clone() # don't grab pointer!
202 self.assertEqual(old_grad_weight, torch.ones_like(m.weight))
213 compute_mask.return_value = torch.ones_like(m.weight)
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/aosp_15_r20/out/soong/.intermediates/frameworks/base/data/fonts/font_fallback.xml/android_arm64_armv8-2a_cortex-a55/
Dfont_fallback.xml10 <font weight="400" style="normal">CarroisGothicSC-Regular.ttf</font>
13 <font weight="400" style="normal" postScriptName="ComingSoon-Regular">ComingSoon.ttf</font>
16 <font weight="400" style="normal" postScriptName="CutiveMono-Regular">CutiveMono.ttf</font>
22 <font weight="400" style="normal">DroidSansMono.ttf</font>
37 <font weight="400" style="normal">SourceSansPro-Regular.ttf</font>
38 <font weight="400" style="italic">SourceSansPro-Italic.ttf</font>
39 <font weight="600" style="normal">SourceSansPro-SemiBold.ttf</font>
40 <font weight="600" style="italic">SourceSansPro-SemiBoldItalic.ttf</font>
41 <font weight="700" style="normal">SourceSansPro-Bold.ttf</font>
42 <font weight="700" style="italic">SourceSansPro-BoldItalic.ttf</font>
[all …]
/aosp_15_r20/out/target/product/shiba/obj/ETC/font_fallback.xml_intermediates/
Dfont_fallback.xml10 <font weight="400" style="normal">CarroisGothicSC-Regular.ttf</font>
13 <font weight="400" style="normal" postScriptName="ComingSoon-Regular">ComingSoon.ttf</font>
16 <font weight="400" style="normal" postScriptName="CutiveMono-Regular">CutiveMono.ttf</font>
22 <font weight="400" style="normal">DroidSansMono.ttf</font>
37 <font weight="400" style="normal">SourceSansPro-Regular.ttf</font>
38 <font weight="400" style="italic">SourceSansPro-Italic.ttf</font>
39 <font weight="600" style="normal">SourceSansPro-SemiBold.ttf</font>
40 <font weight="600" style="italic">SourceSansPro-SemiBoldItalic.ttf</font>
41 <font weight="700" style="normal">SourceSansPro-Bold.ttf</font>
42 <font weight="700" style="italic">SourceSansPro-BoldItalic.ttf</font>
[all …]
/aosp_15_r20/out/soong/.intermediates/frameworks/base/data/fonts/generate_font_fallback/gen/
Dfont_fallback.xml10 <font weight="400" style="normal">CarroisGothicSC-Regular.ttf</font>
13 <font weight="400" style="normal" postScriptName="ComingSoon-Regular">ComingSoon.ttf</font>
16 <font weight="400" style="normal" postScriptName="CutiveMono-Regular">CutiveMono.ttf</font>
22 <font weight="400" style="normal">DroidSansMono.ttf</font>
37 <font weight="400" style="normal">SourceSansPro-Regular.ttf</font>
38 <font weight="400" style="italic">SourceSansPro-Italic.ttf</font>
39 <font weight="600" style="normal">SourceSansPro-SemiBold.ttf</font>
40 <font weight="600" style="italic">SourceSansPro-SemiBoldItalic.ttf</font>
41 <font weight="700" style="normal">SourceSansPro-Bold.ttf</font>
42 <font weight="700" style="italic">SourceSansPro-BoldItalic.ttf</font>
[all …]
/aosp_15_r20/external/skia/resources/android_fonts/v22/
H A Dfonts.xml5 <font weight="100" style="normal">
8 <font weight="100" style="italic">Roboto-ThinItalic.ttf</font>
9 <font weight="300" style="normal">Roboto-Light.ttf</font>
10 <font weight="300" style="italic">Roboto-LightItalic.ttf</font>
11 <font weight="400" style="normal">Roboto-Regular.ttf</font>
12 <font weight="400" style="italic">Roboto-Italic.ttf</font>
13 <font weight="500" style="normal">Roboto-Medium.ttf</font>
14 <font weight="500" style="italic">Roboto-MediumItalic.ttf</font>
15 <font weight="700" style="normal">Roboto-Bold.ttf</font>
16 <font weight="700" style="italic">Roboto-BoldItalic.ttf</font>
[all …]
/aosp_15_r20/external/executorch/exir/passes/
H A D_quant_patterns_and_replacements.py29 "embedding_byte(Tensor weight, Tensor weight_scales, Tensor? weight_zero_points, "
34 "embedding_byte.dtype(Tensor weight, Tensor weight_scales, Tensor? weight_zero_points, "
39 "embedding_byte.out(Tensor weight, Tensor weight_scales, Tensor? weight_zero_points, "
44 "embedding_byte.dtype_out(Tensor weight, Tensor weight_scales, Tensor? weight_zero_points, "
49 def embedding_weight_checks(weight, weight_scales, weight_zero_points): argument
50 assert weight.dtype in [
53 ], f"Expecting weights to be of dtype in [torch.int8, torch.uint8], but got {weight.dtype}"
55 weight.dim() == 2
56 ), f"Expecting weight tensor to have dim()==2, but found {weight.dim()}"
65 assert weight_scales.size(0) == weight.size(
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/aosp_15_r20/build/soong/docs/
H A Dkotlin_with_annotation_processors.dot174 lib_kotlin_sources -> lib_kapt_action [ weight=0 ];
176 lib_kapt_action -> lib_kotlin_stubs [ weight=100 ];
178 lib_kotlin_stubs -> lib_turbine_apt_action [ weight=100 ];
179 lib_turbine_apt_action -> lib_apt_src_jar [ weight=100 ];
181 lib_apt_src_jar -> lib_kotlinc_action [ weight=0 ];
182 lib_kotlin_sources -> lib_kotlinc_action [ weight=100 ];
184 lib_kotlinc_action -> lib_kotlin_classes, lib_kotlin_headers [ weight=100 ];
186 lib_apt_src_jar -> lib_turbine_action [ weight=0 ];
187 lib_kotlin_headers -> lib_turbine_action [ weight=0 ];
188 lib_java_sources -> lib_turbine_action [ weight=100 ];
[all …]
H A Dkotlin.dot126 lib_kotlin_sources -> lib_kotlinc_action [ weight=100 ];
128 lib_kotlinc_action -> lib_kotlin_classes, lib_kotlin_headers [ weight=100 ];
130 lib_kotlin_headers -> lib_turbine_action [ weight=0 ];
131 lib_java_sources -> lib_turbine_action [ weight=100 ];
132 lib_turbine_action -> lib_java_headers [ weight=100 ];
134 lib_kotlin_headers -> lib_javac_action [ weight=0 ];
135 lib_java_sources -> lib_javac_action [ weight=1000 ];
136 lib_javac_action -> lib_java_classes [ weight=100 ];
138 lib_kotlin_classes -> lib_combine_action [ weight = 0 ];
139 lib_java_classes -> lib_combine_action [ weight = 100 ];
[all …]
/aosp_15_r20/external/pytorch/aten/src/ATen/native/
H A DConvolution.cpp219 …cudnn_depthwise_workload_with_filter(const at::Tensor& input, T stride, const at::Tensor& weight) { in check_cudnn_depthwise_workload_with_filter() argument
227 if (at::symint::size<T>(weight, 2) != at::symint::size<T>(weight, 3)) return false; in check_cudnn_depthwise_workload_with_filter()
228 auto filter = at::symint::size<T>(weight, 3); in check_cudnn_depthwise_workload_with_filter()
257 const Tensor& weight, in xnnpack_use_convolution2d() argument
264 …return xnnpack::use_convolution2d(input, weight, bias_sizes_opt, padding, stride, dilation, groups… in xnnpack_use_convolution2d()
269 const Tensor& weight, in xnnpack_use_convolution2d() argument
370 …bool use_cpu_depthwise3x3_winograd(const at::Tensor& input, const at::Tensor& weight, const std::o… in use_cpu_depthwise3x3_winograd()
375 (weight.ndimension() == 4 ) && in use_cpu_depthwise3x3_winograd()
376 (at::symint::size<T>(weight, 0) % at::symint::size<T>(input, 1) == 0) && in use_cpu_depthwise3x3_winograd()
377 (at::symint::size<T>(weight, 1) == 1) && in use_cpu_depthwise3x3_winograd()
[all …]
/aosp_15_r20/external/pytorch/test/
H A Dtest_stateless.py44 weight = torch.tensor([[1.0]], device=device)
48 parameters = {f'{prefix}.l1.weight': weight,
52 parameters = {'l1.weight': weight,
58 prev_weight = to_check.l1.weight.clone()
62 # same as the input if the weight swapping went well.
65 # check that the weight remain unmodified
66 cur_weight = to_check.l1.weight
146 {'module.weight': torch.zeros(5, device='cuda')},
156 weight = torch.tensor([[1.0]], requires_grad=True)
159 parameters = {'l1.weight': weight,
[all …]
/aosp_15_r20/external/pytorch/aten/src/ATen/native/quantized/cpu/
H A Dqlinear_prepack.cpp65 at::Tensor weight, in prepack() argument
68 weight.dim() == 2, in prepack()
69 "The weight tensor for quantized::linear_prepack (fbgemm) should" in prepack()
72 auto N = weight.size(0); in prepack()
73 auto K = weight.size(1); in prepack()
76 auto weight_contig = weight.contiguous(); in prepack()
77 const auto qtype = weight.qscheme(); in prepack()
80 weight_zero_points_int32[0] = {static_cast<int32_t>(weight.q_zero_point())}; in prepack()
85 weight.q_per_channel_zero_points()[i].item<int32_t>(); in prepack()
90 weight_scales_float[0] = {static_cast<float>(weight.q_scale())}; in prepack()
[all …]
H A Dqconv_prepack.cpp30 at::Tensor weight, in prepack() argument
39 weight.ndimension() == kSpatialDim + 2, in prepack()
65 const int input_channels = transpose ? weight.size(0) in prepack()
66 : weight.size(1) * groups; in prepack()
68 const int output_channels = transpose ? weight.size(1) * groups in prepack()
70 : weight.size(0); in prepack()
71 const int kernel_d = kSpatialDim == 2 ? 1 : weight.size(2); in prepack()
72 const int kernel_h = weight.size(kSpatialDim); in prepack()
73 const int kernel_w = weight.size(kSpatialDim + 1); in prepack()
95 const auto qtype = weight.qscheme(); in prepack()
[all …]
/aosp_15_r20/external/fonttools/Tests/designspaceLib/data/
H A Dtest_v5_sourceserif.designspace4 <axis tag="wght" name="weight" minimum="200" maximum="900" default="400">
41 <dimension name="weight" xvalue="0"/>
48 <dimension name="weight" xvalue="394"/>
55 <dimension name="weight" xvalue="1000"/>
62 <dimension name="weight" xvalue="0"/>
69 <dimension name="weight" xvalue="394"/>
76 <dimension name="weight" xvalue="1000"/>
83 <dimension name="weight" xvalue="0"/>
90 <dimension name="weight" xvalue="394"/>
97 <dimension name="weight" xvalue="1000"/>
[all …]
H A Dtest_v5_aktiv.designspace4 <axis tag="wght" name="Weight" minimum="100" maximum="900" default="400">
56 <condition name="Weight" minimum="116" maximum="185"/>
67 <dimension name="Weight" xvalue="22"/>
74 <dimension name="Weight" xvalue="22"/>
81 <dimension name="Weight" xvalue="22"/>
88 <dimension name="Weight" xvalue="22"/>
95 <dimension name="Weight" xvalue="22"/>
102 <dimension name="Weight" xvalue="22"/>
109 <dimension name="Weight" xvalue="84"/>
116 <dimension name="Weight" xvalue="84"/>
[all …]
/aosp_15_r20/external/pytorch/aten/src/ATen/native/vulkan/ops/
H A DConvolution.cpp81 * Rearranges a convolution weight tensor to a layout that can be used by
89 * applied to this weight tensor:
106 at::Tensor weight = weight_in.clone(); in rearrange_weights_dw() local
108 uint32_t N = ops::get_dim<DimConv2DKernel::OutChannels>(weight); in rearrange_weights_dw()
109 uint32_t C = ops::get_dim<DimConv2DKernel::InChannels>(weight); in rearrange_weights_dw()
110 uint32_t H = ops::get_dim<DimConv2DKernel::Height>(weight); in rearrange_weights_dw()
111 uint32_t W = ops::get_dim<DimConv2DKernel::Width>(weight); in rearrange_weights_dw()
117 weight = in rearrange_weights_dw()
118 at::pad(weight, {0, 0, 0, 0, 0, 0, 0, N_padding_needed}, "constant", 0); in rearrange_weights_dw()
121 weight = weight.reshape({N_aligned, C, H * W}); in rearrange_weights_dw()
[all …]
/aosp_15_r20/external/pytorch/test/ao/sparsity/
H A Dtest_sparsifier.py41 sparsifier.prepare(model, [{"tensor_fqn": "linear1.weight"}])
43 assert sparsifier.groups[0]["tensor_fqn"] == "linear1.weight"
57 {"tensor_fqn": "seq.0.weight", "test": 42},
59 {"tensor_fqn": "linear2.weight"},
64 assert sparsifier.groups[0]["tensor_fqn"] == "seq.0.weight"
67 assert sparsifier.groups[1]["tensor_fqn"] == "linear2.weight"
78 sparsifier.prepare(model, [{"tensor_fqn": "linear1.weight"}])
80 assert torch.all(model.linear1.parametrizations.weight[0].mask[0] == 0)
86 sparsifier0.prepare(model0, [{"tensor_fqn": "linear1.weight"}])
87 mask = model0.linear1.parametrizations["weight"][0].mask
[all …]
/aosp_15_r20/external/pytorch/torch/ao/quantization/
H A Dqconfig.py85 class QConfig(namedtuple("QConfig", ["activation", "weight"])):
101 weight=default_observer.with_args(dtype=torch.qint8))
105 def __new__(cls, activation, weight): argument
107 if isinstance(activation, nn.Module) or isinstance(weight, nn.Module):
112 return super().__new__(cls, activation, weight)
119 class QConfigDynamic(namedtuple("QConfigDynamic", ["activation", "weight"])):
133 my_qconfig = QConfigDynamic(weight=default_observer.with_args(dtype=torch.qint8))
136 def __new__(cls, activation=torch.nn.Identity, weight=torch.nn.Identity): argument
138 if isinstance(weight, nn.Module):
143 return super().__new__(cls, activation, weight)
[all …]

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