Searched defs:padding (Results 1 - 25 of 98) sorted by relevance

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/frameworks/native/libs/vr/libdvr/include/dvr/
H A Ddvr_vsync.h29 uint8_t padding[8]; member in struct:DvrVsync
H A Ddvr_shared_buffers.h85 uint8_t padding[12]; member in struct:android::dvr::DvrVsyncPoseBuffer
/frameworks/base/libs/hwui/tests/common/scenes/
H A DSaveLayer2Animation.cpp40 int padding = smallRectHeight / 4; variable
44 mBluePaint.setTextSize(padding);
46 mGreenPaint.setTextSize(padding);
50 canvas.saveLayer(bounds.fLeft, top, bounds.fRight, top + padding, &mBluePaint,
56 top + padding);
59 canvas.drawRect(bounds.fLeft, top + padding, bounds.fRight,
60 top + smallRectHeight - padding, mBluePaint);
63 top + smallRectHeight - padding);
/frameworks/data-binding/extensions/baseAdapters/src/main/java/android/databinding/adapters/
H A DCardViewBindingAdapter.java32 public static void setContentPadding(CardView view, int padding) { argument
33 view.setContentPadding(padding, padding, padding, padding);
/frameworks/ml/nn/runtime/test/generated/models/
H A Davg_pool_float_2.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_float_2_relaxed.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_float_3.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_float_3_relaxed.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_float_4.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
H A Davg_pool_float_4_relaxed.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
H A Davg_pool_quant8_2.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_quant8_3.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Dmax_pool_float_2.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Dmax_pool_float_2_relaxed.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Dmax_pool_float_3.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
H A Dmax_pool_float_3_relaxed.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
H A Dmax_pool_quant8_2.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Dmax_pool_quant8_3.model.cpp10 auto padding = model->addOperand(&type1); local
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu1_activation}, {output});
/frameworks/support/v7/recyclerview/src/androidTest/java/androidx/recyclerview/widget/
H A DStaggeredGridLayoutManagerWrapContentTest.java42 public StaggeredGridLayoutManagerWrapContentTest(Rect padding) { argument
43 super(new WrapContentConfig(false, false, padding));
/frameworks/layoutlib/bridge/src/android/graphics/
H A DBitmapFactory_Delegate.java52 @Nullable Rect padding, @Nullable Options opts) {
82 if (padding != null) {
83 // read the padding
85 padding.left = paddingArray[0];
86 padding.top = paddingArray[1];
87 padding.right = paddingArray[2];
88 padding.bottom = paddingArray[3];
103 Rect padding, Options opts) {
111 /*package*/ static Bitmap nativeDecodeAsset(long asset, Rect padding, Options opts) { argument
51 nativeDecodeStream(InputStream is, byte[] storage, @Nullable Rect padding, @Nullable Options opts) argument
102 nativeDecodeFileDescriptor(FileDescriptor fd, Rect padding, Options opts) argument
/frameworks/ml/nn/runtime/test/specs/V1_0/
H A Davg_pool_float_2.mod.py33 padding = Int32Scalar("padding", pad) variable
42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)
H A Davg_pool_float_3.mod.py33 padding = Int32Scalar("padding", pad) variable
42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)
H A Davg_pool_float_4.mod.py33 padding = Int32Scalar("padding", pad) variable
42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act3).To(output)
H A Davg_pool_quant8_2.mod.py33 padding = Int32Scalar("padding", pad) variable
42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)
H A Davg_pool_quant8_3.mod.py33 padding = Int32Scalar("padding", pad) variable
42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output)

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