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fix: minor errors
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commit
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@ -1,5 +1,6 @@
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import gc
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import time
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import numpy as np
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from numba import njit, prange
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from time_measurement import time_measurement_longest, longest_threads_time_accumulator, tests_time
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import linear_algebra_utils as linAlg
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@ -8,23 +9,28 @@ import linear_algebra_utils as linAlg
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@njit(parallel=True)
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def numba_matrix_vector_multiply(A, input_x, Ax):
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for i in prange(len(A)):
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Ax[i] = sum(A[i][j] * input_x[j] for j in range(len(input_x)))
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acc = 0.0
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for j in range(len(input_x)):
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acc += A[i][j] * input_x[j]
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Ax[i] = acc
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@njit(parallel=True)
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def numba_vector_vector_subtraction(b, Ax, residual):
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for i in prange(len(b)):
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residual[i] = b[i] - Ax[i]
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@njit(parallel=True)
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@njit(nopython=True)
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def numba_scalar_vector_multiply(omega, vector, result):
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for i in prange(len(vector)):
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result[i] = omega * vector[i]
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omega_real = omega.real
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for i in range(len(vector)):
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result[i] = omega_real * vector[i]
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@njit(parallel=True)
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def numba_vector_vector_addition(input_x, vector, output_x):
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for i in prange(len(input_x)):
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output_x[i] = input_x[i] + vector[i]
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# Funkcje z dekoratorem
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@time_measurement_longest(longest_threads_time_accumulator)
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def matrix_vector_multiply(A, input_x, Ax):
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