funct_2d.c

  name="google_ads_frame" marginwidth="0" marginheight="0" src="http://pagead2.googlesyndication.com/pagead/ads?client=ca-pub-5572165936844014&dt=1194442938015&lmt=1194190197&format=336x280_as&output=html&correlator=1194442937843&url=file%3A%2F%2F%2FC%3A%2FDocuments%2520and%2520Settings%2Flhh1%2F%E6%A1%8C%E9%9D%A2%2FCLanguage.htm&color_bg=FFFFFF&color_text=000000&color_link=000000&color_url=FFFFFF&color_border=FFFFFF&ad_type=text&ga_vid=583001034.1194442938&ga_sid=1194442938&ga_hid=1942779085&flash=9&u_h=768&u_w=1024&u_ah=740&u_aw=1024&u_cd=32&u_tz=480&u_java=true" frameborder="0" width="336" scrolling="no" height="280" allowtransparency="allowtransparency"> #include <stdio.h>

void show_2d_array(int array[][10], int rows)
 {
   int i, j;

   for (i = 0; i < rows; i++)
     for (j = 0; j < 10; j++)
       printf("array[%d][%d] = %d/n", i, j, array[i][j]);
 }

void main(void)
 {
   int a[1][10] = {{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}};
   int b[2][10] = {{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
                   {11, 12, 13, 14, 15, 16, 17, 18, 19, 20}};
   int c[3][10] = {{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
                   {11, 12, 13, 14, 15, 16, 17, 18, 19, 20},
                   {21, 22, 23, 24, 25, 26, 27, 28, 29, 30}};

   show_2d_array(a, 1);
   show_2d_array(b, 2);
   show_2d_array(c, 3);
 }

2025-03-20 23:21:11.818108: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found 2025-03-20 23:21:11.818248: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... 2025-03-20 23:21:11.818753: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. Found 3000 files belonging to 15 classes. ['Bean', 'Bitter_Gourd', 'Bottle_Gourd', 'Brinjal', 'Broccoli', 'Cabbage', 'Capsicum', 'Carrot', 'Cauliflower', 'Cucumber', 'Papaya', 'Potato', 'Pumpkin', 'Radish', 'Tomato'] Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= rescaling (Rescaling) (None, 224, 224, 3) 0 mobilenetv2_1.00_224 (Funct (None, 7, 7, 1280) 2257984 ional) global_average_pooling2d (G (None, 1280) 0 lobalAveragePooling2D) dense (Dense) (None, 15) 19215
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03-21
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