File size: 9,180 Bytes
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from lm_eval.api.utils import (
get_rolling_token_windows,
make_disjoint_window,
select_continuation_from_batch_left_padding,
split_and_pad_windows,
)
# noinspection DuplicatedCode
def test_get_rolling_token_windows_v1():
gold = [
([-100, 0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
(
[9, 10, 11, 12, 13, 14, 15, 16, 17, 18],
[10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
),
(
[19, 20, 21, 22, 23, 24, 25, 26, 27, 28],
[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
),
([23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [30, 31, 32, 33]),
]
x = list(range(34))
generator = get_rolling_token_windows(
token_list=x,
prefix_token=-100,
max_seq_len=10,
context_len=1,
)
pred_length = 0
output = []
for input_tokens, pred_tokens in generator:
output.append((input_tokens, pred_tokens))
pred_length += len(pred_tokens)
assert pred_length == len(x)
assert gold == output
# noinspection DuplicatedCode
def test_get_rolling_token_windows_v2():
gold = [
([-100, 0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
([2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [10, 11, 12]),
([5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [13, 14, 15]),
([8, 9, 10, 11, 12, 13, 14, 15, 16, 17], [16, 17, 18]),
([11, 12, 13, 14, 15, 16, 17, 18, 19, 20], [19, 20, 21]),
([14, 15, 16, 17, 18, 19, 20, 21, 22, 23], [22, 23, 24]),
([17, 18, 19, 20, 21, 22, 23, 24, 25, 26], [25, 26, 27]),
([20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [28, 29, 30]),
([23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [31, 32, 33]),
]
x = list(range(34))
generator = get_rolling_token_windows(
token_list=x,
prefix_token=-100,
max_seq_len=10,
context_len=8,
)
pred_length = 0
output = []
for input_tokens, pred_tokens in generator:
output.append((input_tokens, pred_tokens))
pred_length += len(pred_tokens)
assert pred_length == len(x)
assert gold == output
# noinspection DuplicatedCode
def test_get_rolling_token_windows_v3():
gold = [
([-100, 0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10]),
([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [11]),
([2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [12]),
([3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [13]),
([4, 5, 6, 7, 8, 9, 10, 11, 12, 13], [14]),
([5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [15]),
([6, 7, 8, 9, 10, 11, 12, 13, 14, 15], [16]),
([7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [17]),
([8, 9, 10, 11, 12, 13, 14, 15, 16, 17], [18]),
([9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [19]),
([10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20]),
([11, 12, 13, 14, 15, 16, 17, 18, 19, 20], [21]),
([12, 13, 14, 15, 16, 17, 18, 19, 20, 21], [22]),
([13, 14, 15, 16, 17, 18, 19, 20, 21, 22], [23]),
([14, 15, 16, 17, 18, 19, 20, 21, 22, 23], [24]),
([15, 16, 17, 18, 19, 20, 21, 22, 23, 24], [25]),
([16, 17, 18, 19, 20, 21, 22, 23, 24, 25], [26]),
([17, 18, 19, 20, 21, 22, 23, 24, 25, 26], [27]),
([18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [28]),
([19, 20, 21, 22, 23, 24, 25, 26, 27, 28], [29]),
([20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [30]),
([21, 22, 23, 24, 25, 26, 27, 28, 29, 30], [31]),
([22, 23, 24, 25, 26, 27, 28, 29, 30, 31], [32]),
([23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [33]),
]
x = list(range(34))
generator = get_rolling_token_windows(
token_list=x,
prefix_token=-100,
max_seq_len=10,
context_len=10,
)
pred_length = 0
output = []
for input_tokens, pred_tokens in generator:
output.append((input_tokens, pred_tokens))
pred_length += len(pred_tokens)
assert pred_length == len(x)
assert gold == output
# noinspection DuplicatedCode
def test_get_rolling_token_windows_v4():
gold = [
([-100, 0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10]),
([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [11]),
([2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [12]),
([3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [13]),
([4, 5, 6, 7, 8, 9, 10, 11, 12, 13], [14]),
([5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [15]),
([6, 7, 8, 9, 10, 11, 12, 13, 14, 15], [16]),
([7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [17]),
([8, 9, 10, 11, 12, 13, 14, 15, 16, 17], [18]),
([9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [19]),
([10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20]),
([11, 12, 13, 14, 15, 16, 17, 18, 19, 20], [21]),
([12, 13, 14, 15, 16, 17, 18, 19, 20, 21], [22]),
([13, 14, 15, 16, 17, 18, 19, 20, 21, 22], [23]),
([14, 15, 16, 17, 18, 19, 20, 21, 22, 23], [24]),
([15, 16, 17, 18, 19, 20, 21, 22, 23, 24], [25]),
([16, 17, 18, 19, 20, 21, 22, 23, 24, 25], [26]),
([17, 18, 19, 20, 21, 22, 23, 24, 25, 26], [27]),
([18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [28]),
([19, 20, 21, 22, 23, 24, 25, 26, 27, 28], [29]),
]
x = list(range(30))
generator = get_rolling_token_windows(
token_list=x,
prefix_token=-100,
max_seq_len=10,
context_len=10,
)
pred_length = 0
output = []
for input_tokens, pred_tokens in generator:
output.append((input_tokens, pred_tokens))
pred_length += len(pred_tokens)
assert pred_length == len(x)
assert gold == output
# noinspection DuplicatedCode
def test_get_rolling_token_windows_v5():
gold = [
([-100, 0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
(
[9, 10, 11, 12, 13, 14, 15, 16, 17, 18],
[10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
),
(
[19, 20, 21, 22, 23, 24, 25, 26, 27, 28],
[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
),
]
x = list(range(30))
generator = get_rolling_token_windows(
token_list=x,
prefix_token=-100,
max_seq_len=10,
context_len=1,
)
pred_length = 0
output = []
for input_tokens, pred_tokens in generator:
output.append((input_tokens, pred_tokens))
pred_length += len(pred_tokens)
assert pred_length == len(x)
assert gold == output
# noinspection DuplicatedCode
def test_get_rolling_token_windows_v6():
gold = [
([-100, 0], [0, 1]),
([1, 2], [2, 3]),
([3, 4], [4, 5]),
([5, 6], [6, 7]),
([6, 7], [8]),
]
x = list(range(9))
generator = get_rolling_token_windows(
token_list=x,
prefix_token=-100,
max_seq_len=2,
context_len=1,
)
pred_length = 0
output = []
for input_tokens, pred_tokens in generator:
output.append((input_tokens, pred_tokens))
pred_length += len(pred_tokens)
assert pred_length == len(x)
assert gold == output
def test_get_rolling_token_windows_empty():
generator = get_rolling_token_windows(
token_list=[],
prefix_token=-100,
max_seq_len=2,
context_len=1,
)
n = 0
for _ in generator:
n += 1
assert n == 0
def test_make_disjoint_window():
assert make_disjoint_window(([1, 2, 3, 4, 5], [2, 3, 4, 5, 6])) == (
[1],
[2, 3, 4, 5, 6],
)
assert make_disjoint_window(([1, 2, 3, 4, 5], [4, 5, 6])) == ([1, 2, 3], [4, 5, 6])
def test_pad_windows():
token_list = [100, 19, 3, 9, 794, 7142, 81, 1327, 5]
# Representation: [([context], [continuation]), ...]
# [
# ([1], [100, 19, 3, 9]),
# ([9], [794, 7142, 81, 1327]),
# ([ ], [5])
# ]
rolling_token_windows = list(
map(
make_disjoint_window,
get_rolling_token_windows(
token_list=token_list,
prefix_token=1,
max_seq_len=4,
context_len=1,
),
)
)
expected = (
[[1], [9], [1]], # Split & padded contexts.
[
[100, 19, 3, 9],
[794, 7142, 81, 1327],
[5, 1, 1, 1],
], # Split & padded continuations.
)
padded_windows = split_and_pad_windows(
rolling_token_windows, pad_token_id=1, max_seq_len=4
)
assert padded_windows == expected
def test_select_continuation_from_batch_1():
generations = torch.tensor(
[
# sentence 1
[0, 0, 1, 2, 3, 11, 22, 33, 44, 55],
# sentence 2
[1, 2, 3, 4, 5, 11, 22, 33, 0, 0],
]
)
max_context_size = 5
expected = torch.tensor(
[
# sentence 1
[11, 22, 33, 44, 55],
# sentence 2
[11, 22, 33, 0, 0],
]
)
assert torch.equal(
select_continuation_from_batch_left_padding(generations, max_context_size),
expected,
)
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