| /hardware/interfaces/neuralnetworks/1.1/ |
| D | types.hal | 32 * This operation reshapes the batch dimension (dimension 0) into M + 1
49 * sizes for each spatial dimension of the input tensor. All values
70 * The size of the output is the maximum size along each dimension of the
75 * input1.dimension = {4, 1, 2}
76 * input2.dimension = {5, 4, 3, 1}
77 * output.dimension = {5, 4, 3, 2}
149 * for each spatial dimension of the input tensor. The shape of the
152 * front of dimension i.
154 * end of dimension i.
159 * dimension of the output tensor has the same size as the
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| /hardware/interfaces/neuralnetworks/1.2/utils/src/ |
| D | ExecutionBurstUtils.cpp | 104 for (uint32_t dimension : input.dimensions) { in serialize() local
106 data.back().inputOperandDimensionValue(dimension); in serialize()
120 for (uint32_t dimension : output.dimensions) { in serialize() local
122 data.back().outputOperandDimensionValue(dimension); in serialize()
171 for (uint32_t dimension : operand.dimensions) { in serialize() local
173 data.back().operandDimensionValue(dimension); in serialize()
239 const uint32_t dimension = data[index].inputOperandDimensionValue(); in deserialize() local
243 dimensions.push_back(dimension); in deserialize()
278 const uint32_t dimension = data[index].outputOperandDimensionValue(); in deserialize() local
282 dimensions.push_back(dimension); in deserialize()
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| /hardware/interfaces/neuralnetworks/1.0/ |
| D | types.hal | 25 * with at least one dimension). Types not prefaced by TENSOR_* represent
91 * The size of the output is the maximum size along each dimension of the
97 * input1.dimension = {4, 1, 2}
98 * input2.dimension = {5, 4, 3, 1}
99 * output.dimension = {5, 4, 3, 2}
150 * the left, in the ‘width’ dimension.
152 * the right, in the ‘width’ dimension.
154 * the top, in the ‘height’ dimension.
156 * the bottom, in the ‘height’ dimension.
158 * walking through input in the ‘width’ dimension.
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| /hardware/interfaces/neuralnetworks/1.2/ |
| D | types.hal | 79 * - channelDim: a 32 bit unsigned integer indicating channel dimension.
84 * The channel dimension of this tensor must not be unknown (dimensions[channelDim] != 0).
89 * where C is an index in the Channel dimension.
167 * The size of the output is the maximum size along each dimension of the
173 * input1.dimension = {4, 1, 2}
174 * input2.dimension = {5, 4, 3, 1}
175 * output.dimension = {5, 4, 3, 2}
178 * dimension is only compatible with 0 or 1. The size of the output
179 * dimension is zero if either of corresponding input dimension is zero.
236 * the left, in the ‘width’ dimension.
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| D | types.t | 133 * 2.2) For each dimension element of the operand:
137 * 3.2) For each dimension element of the operand:
262 * 2.2) For each dimension element of the operand:
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| /hardware/interfaces/neuralnetworks/1.3/ |
| D | types.hal | 104 * The size of the output is the maximum size along each dimension of the
110 * input1.dimension = {4, 1, 2}
111 * input2.dimension = {5, 4, 3, 1}
112 * output.dimension = {5, 4, 3, 2}
115 * dimension is only compatible with 0 or 1. The size of the output
116 * dimension is zero if either of corresponding input dimension is zero.
180 * the left, in the ‘width’ dimension.
182 * the right, in the ‘width’ dimension.
184 * the top, in the ‘height’ dimension.
186 * the bottom, in the ‘height’ dimension.
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| D | IBuffer.hal | 49 * dimension that was specified in the IBuffer object must have the same value here.
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| /hardware/qcom/camera/msm8998/QCamera2/stack/mm-camera-test/inc/ |
| D | mm_qcamera_commands.h | 55 int pr_client_socket_id, cam_dimension_t dimension,
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| /hardware/qcom/camera/msm8998/QCamera2/stack/mm-camera-test/src/ |
| D | mm_qcamera_commands.c | 38 int pr_client_socket_id, cam_dimension_t dimension, in tuneserver_initialize_prevtuningp() argument
55 NULL, TUNE_PREVCMD_SETDIM, (void *)&dimension, in tuneserver_initialize_prevtuningp()
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| /hardware/google/graphics/gs101/libhwc2.1/libdisplayinterface/ |
| D | ExynosDisplayDrmInterfaceModule.cpp | 23 uint32_t dimension) { in convertDqeMatrixDataToMatrix() argument
24 if (colorMatrix.coeffs.size() != (dimension * dimension)) { in convertDqeMatrixDataToMatrix()
29 for (uint32_t i = 0; i < (dimension * dimension); i++) { in convertDqeMatrixDataToMatrix()
33 if (colorMatrix.offsets.size() != dimension) { in convertDqeMatrixDataToMatrix()
38 for (uint32_t i = 0; i < dimension; i++) { in convertDqeMatrixDataToMatrix()
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| /hardware/interfaces/renderscript/1.0/ |
| D | IContext.hal | 42 * dimension present in the allocation that is not present in the type must
43 * be constrained away with the selectors. If a dimension is present in
46 * value in the adapter for that dimension must act as the base address,
48 * If the type and allocation dimension are of the same size, then setting
49 * the selector for the dimension must be an error.
258 * must be the stride in X dimension measuring in bytes.
284 * must be the stride in X dimension measuring in bytes.
387 * must be the stride in X dimension measuring in bytes.
417 * must be the stride in X dimension measuring in bytes.
440 * TODO: what does "new dimension" mean? IS the type of the resized
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| /hardware/interfaces/audio/6.0/ |
| D | IStreamIn.hal | 189 * for their combined field dimension.
193 * @param the desired field dimension of microphone capture. Range is from -1 (wide angle),
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| /hardware/interfaces/audio/7.0/ |
| D | IStreamIn.hal | 201 * for their combined field dimension.
205 * @param the desired field dimension of microphone capture. Range is from -1 (wide angle),
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| /hardware/interfaces/configstore/1.0/ |
| D | ISurfaceFlingerConfigs.hal | 92 * Maximum dimension supported by HWC for virtual display.
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| /hardware/qcom/camera/msm8998/QCamera2/HAL3/ |
| D | QCamera3Channel.cpp | 4141 IF_META_AVAILABLE(cam_dimension_t, dimension, CAM_INTF_META_JPEG_THUMB_SIZE, metadata) { in initializeJpegSetting()
4142 settings->thumbnail_size = *dimension; in initializeJpegSetting()
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| /hardware/interfaces/camera/metadata/3.2/ |
| D | types.hal | 1266 * <p>The number of input samples for each dimension of
|