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Product
Product features · Full discrete convolution
01
Check empty inputs, a single value and an asymmetric kernel, keeping output length equal to the sum of nonempty input lengths minus one.
Selection
A model available through the configured endpoint.
Capabilities
Context limits and tool support are determined by the model and server.
Full discrete convolution
● ● ●KernelQuay●
A concrete starting point · Full discrete convolution ×
import math
def convolve(values, kernel):
if not all(map(math.isfinite, [*values, *kernel])):
raise ValueError("finite inputs required")
if not values or not kernel: return []
result = [0] * (len(values) + len(kernel) - 1)
for i, value in enumerate(values):
for j, weight in enumerate(kernel):
result[i + j] += value * weight
if not all(map(math.isfinite, result)):
raise ValueError("non-finite result")
return result✳Compute a full discrete convolution of two finite numeric sequences.
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