Searched refs:batch_size (Results 1 – 7 of 7) sorted by relevance
/hardware/interfaces/neuralnetworks/1.0/ |
D | types.hal | 550 * [batch_size, input_size], where "input_size" corresponds to the 552 * weights, and "batch_size" is calculated by dividing the number of 568 * * 0: The output tensor, of shape [batch_size, num_units]. For 930 * A 2-D tensor of shape [batch_size, input_size], where “batch_size” 971 * A 2-D tensor of shape [batch_size, output_size]. 973 * A 2-D tensor of shape [batch_size, num_units]. 992 * A 2-D tensor of shape [batch_size, num_units * 3] with CIFG, or 993 * [batch_size, num_units * 4] without CIFG. 995 * A 2-D tensor of shape [batch_size, output_size]. 997 * A 2-D tensor of shape [batch_size, num_units]. [all …]
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/hardware/google/camera/devices/EmulatedCamera/hwl/ |
D | JpegCompressor.cpp | 500 const uint32_t batch_size = DCTSIZE * max_vsamp_factor; in CompressYUV420Frame() local 506 jpeg_write_raw_data(cinfo.get(), planes, batch_size); in CompressYUV420Frame()
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/hardware/interfaces/neuralnetworks/1.3/ |
D | types.hal | 755 * [batch_size, input_size], where "input_size" corresponds to the 757 * weights, and "batch_size" is calculated by dividing the number of 759 * Since HAL version 1.2, zero batch_size is supported for this tensor. 775 * * 0: The output tensor, of shape [batch_size, num_units]. Before HAL version 1.2, for 1214 * A 2-D tensor of shape [batch_size, input_size], where “batch_size” 1255 * A 2-D tensor of shape [batch_size, output_size]. 1257 * A 2-D tensor of shape [batch_size, num_units]. 1303 * A 2-D tensor of shape [batch_size, num_units * 3] with CIFG, or 1304 * [batch_size, num_units * 4] without CIFG. 1306 * A 2-D tensor of shape [batch_size, output_size]. [all …]
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/hardware/interfaces/neuralnetworks/1.2/ |
D | types.hal | 768 * [batch_size, input_size], where "input_size" corresponds to the 770 * weights, and "batch_size" is calculated by dividing the number of 772 * Since HAL version 1.2, zero batch_size is supported for this tensor. 787 * * 0: The output tensor, of shape [batch_size, num_units]. Before HAL version 1.2, for 1216 * A 2-D tensor of shape [batch_size, input_size], where “batch_size” 1257 * A 2-D tensor of shape [batch_size, output_size]. 1259 * A 2-D tensor of shape [batch_size, num_units]. 1305 * A 2-D tensor of shape [batch_size, num_units * 3] with CIFG, or 1306 * [batch_size, num_units * 4] without CIFG. 1308 * A 2-D tensor of shape [batch_size, output_size]. [all …]
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/hardware/google/camera/common/hal/aidl_service/ |
D | aidl_camera_device_session.cc | 164 int batch_size = hal_results.size(); in ProcessBatchCaptureResult() local 165 std::vector<CaptureResult> aidl_results(batch_size); in ProcessBatchCaptureResult()
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/hardware/qcom/camera/msm8998/QCamera2/stack/common/ |
D | cam_types.h | 1846 uint8_t batch_size; member
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/hardware/qcom/camera/msm8998/QCamera2/HAL/ |
D | QCameraParameters.cpp | 13714 stream_config_info.batch_size = getBufBatchCount(); in setStreamConfigure() 13723 stream_config_info.batch_size); in setStreamConfigure()
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