how to resolve this problem

[narasimha63]

conv2d
C:\Users\Chinn\AppData\Local\Temp\ipykernel_22868\1831489917.py:14: RuntimeWarning: invalid value encountered in true_divide
channel_image /= channel_image.std()
C:\Users\Chinn\AppData\Local\Temp\ipykernel_22868\1831489917.py:29: UserWarning: Attempting to set identical bottom == top == -0.5 results in singular transformations; automatically expanding.
plt.imshow(display_grid, aspect='auto', cmap='viridis')
average_pooling2d
conv2d_1
average_pooling2d_1
conv2d_2
average_pooling2d_2
conv2d_3
average_pooling2d_3
flatten

MemoryError Traceback (most recent call last)
Input In [16], in <cell line: 1>()
4 size = layer_activation.shape[1] #The feature map has shape (1, size, size, n_features).
5 n_cols = n_features // images_per_row # Tiles the activation channels in this matrix
----> 6 display_grid = np.zeros((size * n_cols, images_per_row * size))
7 for col in range(n_cols): # Tiles each filter into a big horizontal grid
8 for row in range(images_per_row):

MemoryError: Unable to allocate 64.0 GiB for an array with shape (262144, 32768) and data type float64