/frameworks/native/libs/vr/libdvr/include/dvr/ |
H A D | dvr_vsync.h | 29 uint8_t padding[8]; member in struct:DvrVsync
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H A D | dvr_shared_buffers.h | 85 uint8_t padding[12]; member in struct:android::dvr::DvrVsyncPoseBuffer
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/frameworks/base/libs/hwui/tests/common/scenes/ |
H A D | SaveLayer2Animation.cpp | 40 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);
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/frameworks/data-binding/extensions/baseAdapters/src/main/java/android/databinding/adapters/ |
H A D | CardViewBindingAdapter.java | 32 public static void setContentPadding(CardView view, int padding) { argument 33 view.setContentPadding(padding, padding, padding, padding);
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/frameworks/ml/nn/runtime/test/generated/models/ |
H A D | avg_pool_float_2.model.cpp | 10 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});
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H A D | avg_pool_float_2_relaxed.model.cpp | 10 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});
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H A D | avg_pool_float_3.model.cpp | 10 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});
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H A D | avg_pool_float_3_relaxed.model.cpp | 10 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});
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H A D | avg_pool_float_4.model.cpp | 10 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});
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H A D | avg_pool_float_4_relaxed.model.cpp | 10 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});
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H A D | avg_pool_quant8_2.model.cpp | 10 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});
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H A D | avg_pool_quant8_3.model.cpp | 10 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});
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H A D | max_pool_float_2.model.cpp | 10 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});
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H A D | max_pool_float_2_relaxed.model.cpp | 10 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});
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H A D | max_pool_float_3.model.cpp | 10 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});
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H A D | max_pool_float_3_relaxed.model.cpp | 10 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});
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H A D | max_pool_quant8_2.model.cpp | 10 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});
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H A D | max_pool_quant8_3.model.cpp | 10 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});
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/frameworks/support/v7/recyclerview/src/androidTest/java/androidx/recyclerview/widget/ |
H A D | StaggeredGridLayoutManagerWrapContentTest.java | 42 public StaggeredGridLayoutManagerWrapContentTest(Rect padding) { argument 43 super(new WrapContentConfig(false, false, padding));
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/frameworks/layoutlib/bridge/src/android/graphics/ |
H A D | BitmapFactory_Delegate.java | 52 @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
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
H A D | avg_pool_float_2.mod.py | 33 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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H A D | avg_pool_float_3.mod.py | 33 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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H A D | avg_pool_float_4.mod.py | 33 padding = Int32Scalar("padding", pad) variable 42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act3).To(output)
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H A D | avg_pool_quant8_2.mod.py | 33 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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H A D | avg_pool_quant8_3.mod.py | 33 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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