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Searched refs:batch_size (Results 1 – 7 of 7) sorted by relevance

/hardware/interfaces/neuralnetworks/1.0/
Dtypes.hal550 * [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 …]
/hardware/google/camera/devices/EmulatedCamera/hwl/
DJpegCompressor.cpp500 const uint32_t batch_size = DCTSIZE * max_vsamp_factor; in CompressYUV420Frame() local
506 jpeg_write_raw_data(cinfo.get(), planes, batch_size); in CompressYUV420Frame()
/hardware/interfaces/neuralnetworks/1.3/
Dtypes.hal755 * [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 …]
/hardware/interfaces/neuralnetworks/1.2/
Dtypes.hal768 * [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 …]
/hardware/google/camera/common/hal/aidl_service/
Daidl_camera_device_session.cc164 int batch_size = hal_results.size(); in ProcessBatchCaptureResult() local
165 std::vector<CaptureResult> aidl_results(batch_size); in ProcessBatchCaptureResult()
/hardware/qcom/camera/msm8998/QCamera2/stack/common/
Dcam_types.h1846 uint8_t batch_size; member
/hardware/qcom/camera/msm8998/QCamera2/HAL/
DQCameraParameters.cpp13714 stream_config_info.batch_size = getBufBatchCount(); in setStreamConfigure()
13723 stream_config_info.batch_size); in setStreamConfigure()