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You should utilize the provided skeleton code along with the code from the first picture ( conv ) . Here's the task: You'll be creating
You should utilize the provided skeleton code along with the code from the first picture conv Here's the task: You'll be creating a function to perform D convolution by invoking the original function, following the same assumptions a fixed x filter, with a stride of and no padding This time, you'll need to write the output array on the stack and print the entire array within the function. Your D convolution function will take parameters: input height, input width, a pointer to the start of the input array, and a pointer to the filter array. Assumed maximum size for input and output matrices is by
You'll need to manage several iteration variables across calls to the original conv function. Utilize the $s registers for this purpose, ensuring to save and restore them in the conv function using the stack. Additionally, the convD function should appropriately handle the $s registers, as it will be tested to ensure their unaffected state.
The first two pics are the conv code. The next two are the skeleton code that you need to use.
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