fastboot: make the raid autodetect code wait for all devices to init

[karo-tx-linux.git] / net / mac80211 / rc80211_pid.h

diff --git a/net/mac80211/rc80211_pid.h b/net/mac80211/rc80211_pid.h
index 4ea7b97d1af1406737e94f22b85c7c2de0679d99..01d64d53f3b9351ead2458fcebf2b1b5301a1f4b 100644 (file)
--- a/net/mac80211/rc80211_pid.h
+++ b/net/mac80211/rc80211_pid.h
@@ -61,7 +61,7 @@ enum rc_pid_event_type {
 union rc_pid_event_data {
        /* RC_PID_EVENT_TX_STATUS */
        struct {
-               struct ieee80211_tx_status tx_status;
+               struct ieee80211_tx_info tx_status;
        };
        /* RC_PID_EVENT_TYPE_RATE_CHANGE */
        /* RC_PID_EVENT_TYPE_TX_RATE */
@@ -124,7 +124,6 @@ struct rc_pid_events_file_info {
  * struct rc_pid_debugfs_entries - tunable parameters
  *
  * Algorithm parameters, tunable via debugfs.
- * @dir: the debugfs directory for a specific phy
  * @target: target percentage for failed frames
  * @sampling_period: error sampling interval in milliseconds
  * @coeff_p: absolute value of the proportional coefficient
@@ -143,7 +142,6 @@ struct rc_pid_events_file_info {
  *     ordering of rates)
  */
 struct rc_pid_debugfs_entries {
-       struct dentry *dir;
        struct dentry *target;
        struct dentry *sampling_period;
        struct dentry *coeff_p;
@@ -156,7 +154,7 @@ struct rc_pid_debugfs_entries {
 };
 
 void rate_control_pid_event_tx_status(struct rc_pid_event_buffer *buf,
-                                            struct ieee80211_tx_status *stat);
+                                     struct ieee80211_tx_info *stat);
 
 void rate_control_pid_event_rate_change(struct rc_pid_event_buffer *buf,
                                               int index, int rate);
@@ -180,6 +178,8 @@ struct rc_pid_sta_info {
        u32 tx_num_failed;
        u32 tx_num_xmit;
 
+       int txrate_idx;
+
        /* Average failed frames percentage error (i.e. actual vs. target
         * percentage), scaled by RC_PID_SMOOTHING. This value is computed
         * using using an exponential weighted average technique: