Posts (page 173)
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4 min readTo get the most updated result in Oracle, you can use the SQL query hint "SELECT /*+ RULE */" before your query to ensure that Oracle uses the Rule-based Optimizer, which will give you the latest results. Additionally, you can use the "FOR UPDATE" clause in your query to lock the rows that you are querying, preventing other transactions from modifying them until you commit your changes. This will ensure that you are getting the most updated information from the database.
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4 min readTo get the size of a TensorFlow tensor in bytes, you can use the tf.size() function to get the total number of elements in the tensor and then multiply it by the size of each element in bytes. You can use tf.size() to get the total number of elements in the tensor and tf.size(tensor.dtype) to get the size of each element in bytes. Then, you can calculate the total size in bytes by multiplying the number of elements by the size of each element.
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6 min readTo change the path of a file in Oracle, you can use the ALTER DATABASE RENAME FILE command. This command allows you to change the location of a data file or control file in the database. You need to specify the current file path and the new file path in the command to successfully change the path. It is important to ensure that the new file path is valid and accessible to the Oracle database. Additionally, you may need to alter any references to the file in the database to reflect the new path.
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5 min readTo import a model using a pb file in TensorFlow, you first need to load the .pb file using TensorFlow's graph utility. Then, you can use the import_meta_graph function to import the graph from the .pb file. Once the graph is imported, you can restore the variables and operations from the imported graph using the restore operator. After restoring the model, you can use the restored model for inference or further training.
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5 min readWhen choosing the best smart home gym equipment, there are a few factors to consider. First, think about your fitness goals and the types of workouts you enjoy. Look for equipment that aligns with those goals and preferences, whether it's a smart treadmill, elliptical machine, or strength training equipment.Consider the space you have available in your home and make sure the equipment you choose will fit comfortably.
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5 min readIn Oracle DB, you can sort multiline text by using the LISTAGG function along with the ORDER BY clause. The LISTAGG function concatenates values from multiple rows into a single string, making it perfect for sorting multiline text. Simply include the ORDER BY clause in your SQL query to sort the multiline text based on a specific column or condition. This will arrange the multiline text in ascending or descending order as per your requirement.
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6 min readIn TensorFlow, you can get the elements by indices using the tf.gather function. This function allows you to gather specific elements from a tensor based on their indices. You can pass a tensor containing indices to tf.gather along with the original tensor from which you want to extract the elements. The function will then return a new tensor containing the elements at the specified indices. Keep in mind that the indices must be within the bounds of the original tensor to avoid errors.
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5 min readTo show a table without it being cut off in Oracle, you can adjust the column widths to ensure all the data is displayed properly. This can be done by manually resizing the columns in the table or by using the "SET LINESIZE" command to increase the width of the output. Additionally, you can use the "FORMAT" clause in your SQL query to display the data in a more readable format.
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6 min readBuilding a smart home gym on a budget is possible with careful planning and research. Start by setting a budget and prioritizing the must-have equipment for your workouts. Look for multi-functional equipment that can target different muscle groups and save space. Consider investing in smart fitness gadgets like fitness trackers or smart scales to enhance your workouts and track your progress.
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4 min readIn TensorFlow, you can implement Numpy's where function using the tf.where function. The tf.where function takes a condition and returns the indices of elements that satisfy the condition.You can use tf.where in a TensorFlow graph to implement conditional operations. For example, you can use it to create a mask based on a condition, or to select elements from two tensors based on a condition.Here's an example of how you can use tf.where in TensorFlow: import tensorflow as tf a = tf.
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5 min readTo select every second row in Oracle SQL, you can use the following query:SELECT * FROM ( SELECT ROW_NUMBER() OVER () as row_num, table_name.* FROM table_name ) WHERE MOD(row_num, 2) = 0;This query uses the ROW_NUMBER() function to assign a row number to each row in the table. Then, it filters out rows where the row number is divisible by 2 (i.e., every second row).
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4 min readTo use a TensorFlow model in Python, you first need to install TensorFlow on your machine using pip install tensorflow. Once you have TensorFlow installed, you can import the necessary modules in your Python script. You can then load a pre-trained TensorFlow model using tf.keras.models.load_model or by creating a new model using tf.keras.Sequential.After loading the model, you can make predictions on new data by passing the input data through the model using model.predict().