| /external/skia/src/core/ |
| SkValidationUtils.h | 21 /** Returns true if the rect's dimensions are between 0 and SK_MaxS32
27 /** Returns true if the rect's dimensions are between 0 and SK_ScalarMax
|
| /frameworks/ml/nn/runtime/test/generated/vts_models/ |
| depthwise_conv2d_float.model.cpp | 7 .dimensions = {1, 3, 3, 2},
16 .dimensions = {1, 2, 2, 4},
25 .dimensions = {4},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 2, 2, 4},
|
| depthwise_conv2d_float_large.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 2},
|
| depthwise_conv2d_float_large_2.model.cpp | 7 .dimensions = {1, 2, 2, 4},
16 .dimensions = {1, 2, 2, 4},
25 .dimensions = {4},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 4},
|
| depthwise_conv2d_float_large_2_weights_as_inputs.model.cpp | 7 .dimensions = {1, 2, 2, 3},
16 .dimensions = {1, 2, 2, 4},
25 .dimensions = {4},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 4},
|
| depthwise_conv2d_float_large_weights_as_inputs.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 2},
|
| depthwise_conv2d_float_weights_as_inputs.model.cpp | 7 .dimensions = {1, 3, 3, 2},
16 .dimensions = {1, 2, 2, 4},
25 .dimensions = {4},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 2, 2, 4},
|
| depthwise_conv2d_quant8.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1,1,1,2},
|
| depthwise_conv2d_quant8_large.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 2},
|
| depthwise_conv2d_quant8_large_weights_as_inputs.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 2},
|
| depthwise_conv2d_quant8_weights_as_inputs.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1,1,1,2},
|
| depthwise_conv_2d.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {2},
|
| depthwise_conv_2d_quant8.model.cpp | 7 .dimensions = {1, 2, 2, 2},
16 .dimensions = {1, 2, 2, 2},
25 .dimensions = {2},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {2},
|
| l2_pool_float_large.model.cpp | 7 .dimensions = {1, 2, 2, 3},
16 .dimensions = {},
25 .dimensions = {},
34 .dimensions = {},
43 .dimensions = {},
52 .dimensions = {},
61 .dimensions = {},
70 .dimensions = {1, 1, 1, 3},
|
| rnn.model.cpp | 7 .dimensions = {2, 8},
16 .dimensions = {16, 8},
25 .dimensions = {16, 16},
34 .dimensions = {16},
43 .dimensions = {2, 16},
52 .dimensions = {1},
61 .dimensions = {2, 16},
70 .dimensions = {2, 16},
|
| add.model.cpp | 7 .dimensions = {2},
16 .dimensions = {2},
25 .dimensions = {},
34 .dimensions = {2},
|
| add_broadcast_quant8.model.cpp | 7 .dimensions = {1, 2},
16 .dimensions = {2, 2},
25 .dimensions = {},
34 .dimensions = {2, 2},
|
| add_quant8.model.cpp | 7 .dimensions = {2},
16 .dimensions = {2},
25 .dimensions = {},
34 .dimensions = {2},
|
| /packages/apps/Camera2/src/com/android/camera/data/ |
| PhotoDataFactory.java | 46 Size dimensions; local
54 dimensions = decodeBitmapDimensions(filePath);
55 if (dimensions == null) {
56 // If we are unable to decode non-zero bitmap dimensions
62 dimensions = new Size(width, height);
80 dimensions,
87 * Given a file path, decode the bitmap dimensions if possible.
93 // Ensure we only decode the dimensions, not the whole
|
| /packages/wallpapers/LivePicker/res/values-sw720dp/ |
| dimes.xml | 19 <!-- Dimensions for the preview fragment. -->
23 <!-- Dimensions for the preview attribution pane. -->
|
| /developers/build/prebuilts/gradle/WatchFace/Application/src/main/res/values/ |
| dimens.xml | 3 <!-- Example customization of dimensions originally defined in res/values/dimens.xml
|
| /developers/samples/android/wearable/wear/WatchFace/Application/src/main/res/values/ |
| dimens.xml | 3 <!-- Example customization of dimensions originally defined in res/values/dimens.xml
|
| /development/samples/browseable/WatchFace/Application/res/values/ |
| dimens.xml | 3 <!-- Example customization of dimensions originally defined in res/values/dimens.xml
|
| /external/ImageMagick/www/source/ |
| incantation.msl | 5 <resize geometry="%[dimensions]" />
|
| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| TensorEvaluator.h | 34 typedef typename Derived::Dimensions Dimensions;
49 : m_data(const_cast<typename internal::traits<Derived>::template MakePointer<Scalar>::Type>(m.data())), m_dims(m.dimensions()), m_device(device), m_impl(m)
54 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dims; } function in struct:Eigen::TensorEvaluator
118 Dimensions m_dims;
154 typedef typename Derived::Dimensions Dimensions;
172 : m_data(m.data()), m_dims(m.dimensions()), m_device(device), m_impl(m)
175 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dims; function in struct:Eigen::TensorEvaluator
252 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_argImpl.dimensions(); } function in struct:Eigen::TensorEvaluator
317 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_argImpl.dimensions(); } function in struct:Eigen::TensorEvaluator
390 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const function in struct:Eigen::TensorEvaluator
485 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const function in struct:Eigen::TensorEvaluator
575 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const function in struct:Eigen::TensorEvaluator
[all...] |
