CMSIS-NN: clang format include files

clang format files in the NN/include folder Change-Id: I69cf711c00c65fb907e049ab1852290dd28f8800
davemgreen · Jan 19, 2021 · d7b4564 · d7b4564
1 parent db88c5d
commit d7b4564
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Showing 4 changed files with 1,905 additions and 1,926 deletions.
diff --git a/CMSIS/NN/Include/arm_nn_tables.h b/CMSIS/NN/Include/arm_nn_tables.h
@@ -42,15 +42,15 @@ extern const q7_t sigmoidTable_q7[256];
 extern const q7_t tanhTable_q7[256];
 extern const q15_t tanhTable_q15[256];
 
-  /**
-   * @brief 2-way tables for various activation functions
-   *
-   * 2-way table, H table for value larger than 1/4
-   * L table for value smaller than 1/4, H table for remaining
-   * We have this only for the q15_t version. It does not make
-   * sense to have it for q7_t type
-   */
+/**
+ * @brief 2-way tables for various activation functions
+ *
+ * 2-way table, H table for value larger than 1/4
+ * L table for value smaller than 1/4, H table for remaining
+ * We have this only for the q15_t version. It does not make
+ * sense to have it for q7_t type
+ */
 extern const q15_t sigmoidHTable_q15[192];
 extern const q15_t sigmoidLTable_q15[128];
 
-#endif                          /*  ARM_NN_TABLES_H */
+#endif /*  ARM_NN_TABLES_H */
diff --git a/CMSIS/NN/Include/arm_nn_types.h b/CMSIS/NN/Include/arm_nn_types.h
@@ -28,7 +28,6 @@
  * Target Processor:  Cortex-M cores
  * -------------------------------------------------------------------- */
 
-
 #ifndef _ARM_NN_TYPES_H
 #define _ARM_NN_TYPES_H
 
@@ -37,21 +36,22 @@
 /** CMSIS-NN object to contain the width and height of a tile */
 typedef struct
 {
-    int32_t w;  /**< Width */
-    int32_t h;  /**< Height */
+    int32_t w; /**< Width */
+    int32_t h; /**< Height */
 } cmsis_nn_tile;
 
 /** CMSIS-NN object used for the function context. */
 typedef struct
 {
-    void *buf;      /**< Pointer to a buffer needed for the optimization */
-    int32_t size;   /**< Buffer size */
+    void *buf;    /**< Pointer to a buffer needed for the optimization */
+    int32_t size; /**< Buffer size */
 } cmsis_nn_context;
 
 /** CMSIS-NN object to contain the dimensions of the tensors */
 typedef struct
 {
-    int32_t n; /**< Generic dimension to contain either the batch size or output channels. Please refer to the function documentation for more information */
+    int32_t n; /**< Generic dimension to contain either the batch size or output channels.
+                     Please refer to the function documentation for more information */
     int32_t h; /**< Height */
     int32_t w; /**< Width */
     int32_t c; /**< Input channels */
@@ -81,52 +81,50 @@ typedef struct
 /** CMSIS-NN object for the convolution layer parameters */
 typedef struct
 {
-    int32_t             input_offset;   /**< Zero value for the input tensor */
-    int32_t             output_offset;  /**< Zero value for the output tensor */
-    cmsis_nn_tile       stride;
-    cmsis_nn_tile       padding;
-    cmsis_nn_tile       dilation;
+    int32_t input_offset;  /**< Zero value for the input tensor */
+    int32_t output_offset; /**< Zero value for the output tensor */
+    cmsis_nn_tile stride;
+    cmsis_nn_tile padding;
+    cmsis_nn_tile dilation;
     cmsis_nn_activation activation;
 } cmsis_nn_conv_params;
 
 /** CMSIS-NN object for Depthwise convolution layer parameters */
 typedef struct
 {
-    int32_t             input_offset;   /**< Zero value for the input tensor */
-    int32_t             output_offset;  /**< Zero value for the output tensor */
-    int32_t             ch_mult;        /**< Channel Multiplier. ch_mult * in_ch = out_ch */
-    cmsis_nn_tile       stride;
-    cmsis_nn_tile       padding;
-    cmsis_nn_tile       dilation;
+    int32_t input_offset;  /**< Zero value for the input tensor */
+    int32_t output_offset; /**< Zero value for the output tensor */
+    int32_t ch_mult;       /**< Channel Multiplier. ch_mult * in_ch = out_ch */
+    cmsis_nn_tile stride;
+    cmsis_nn_tile padding;
+    cmsis_nn_tile dilation;
     cmsis_nn_activation activation;
 } cmsis_nn_dw_conv_params;
 /** CMSIS-NN object for pooling layer parameters */
 typedef struct
 {
-    cmsis_nn_tile       stride;
-    cmsis_nn_tile       padding;
+    cmsis_nn_tile stride;
+    cmsis_nn_tile padding;
     cmsis_nn_activation activation;
 } cmsis_nn_pool_params;
 
 /** CMSIS-NN object for Fully Connected layer parameters */
 typedef struct
 {
-    int32_t             input_offset;   /**< Zero value for the input tensor */
-    int32_t             filter_offset;   /**< Zero value for the filter tensor */
-    int32_t             output_offset;  /**< Zero value for the output tensor */
+    int32_t input_offset;  /**< Zero value for the input tensor */
+    int32_t filter_offset; /**< Zero value for the filter tensor */
+    int32_t output_offset; /**< Zero value for the output tensor */
     cmsis_nn_activation activation;
 } cmsis_nn_fc_params;
 
 /** CMSIS-NN object for SVDF layer parameters */
 typedef struct
 {
     int32_t rank;
-    int32_t input_offset; /**< Zero value for the input tensor */
+    int32_t input_offset;  /**< Zero value for the input tensor */
     int32_t output_offset; /**< Zero value for the output tensor */
     cmsis_nn_activation input_activation;
     cmsis_nn_activation output_activation;
 } cmsis_nn_svdf_params;
 
 #endif // _ARM_NN_TYPES_H
-
-