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from thinc.api import remap_ids_v2
from thinc.api import premap_ids
from thinc.api import chain, Embed, HashEmbed
import time
import random
import numpy as np
import cupy as cp
N_symbols = 200000
N_tokens = 50000
N_batch = 500
N_columns = 4
N_dim = 300
mapper = {}
numbers = list(range(N_symbols))
random.shuffle(numbers)
for v, k in enumerate(numbers):
mapper[k] = v
class time_context:
"""Register the running time of a context."""
def __enter__(self):
self.start = time.perf_counter()
return self
def __exit__(self, type, value, traceback):
self.elapsed = time.perf_counter() - self.start
def speed_test_no_column():
remap = remap_ids_v2(mapper)
premap = premap_ids(mapper)
keys = np.random.randint(0, N_symbols, N_tokens)
with time_context() as elapsed:
for i in range(100):
remap(keys, False)
remaptime = elapsed.elapsed
with time_context() as elapsed:
for i in range(100):
premap(keys, False)
premaptime = elapsed.elapsed
print("remap", remaptime)
print("premap", premaptime)
print("speedup", remaptime / premaptime)
def speed_test_column():
remap = remap_ids_v2(mapper, column=3)
premap = premap_ids(mapper, column=3)
keys = np.random.randint(0, N_symbols, (N_tokens, N_columns))
with time_context() as elapsed:
for i in range(100):
remap(keys, False)
remaptime = elapsed.elapsed
with time_context() as elapsed:
for i in range(100):
premap(keys, False)
premaptime = elapsed.elapsed
print("remap", remaptime)
print("premap", premaptime)
print("speedup", remaptime / premaptime)
def speed_test_cupy():
remap = remap_ids_v2(mapper)
premap = premap_ids(mapper)
keys = cp.random.randint(0, N_symbols, N_tokens)
with time_context() as elapsed:
for i in range(100):
remap(keys, False)
remaptime = elapsed.elapsed
with time_context() as elapsed:
for i in range(100):
premap(keys, False)
premaptime = elapsed.elapsed
print("remap", remaptime)
print("premap", premaptime)
print("speedup", remaptime / premaptime)
def speed_test_with_embed():
remap = chain(remap_ids_v2(mapper), Embed(N_dim, N_symbols))
premap = chain(premap_ids(mapper), Embed(N_dim, N_symbols))
remap.initialize()
premap.initialize()
keys = np.random.randint(0, N_symbols, N_tokens)
with time_context() as elapsed:
for i in range(100):
remap(keys, False)
remaptime = elapsed.elapsed
with time_context() as elapsed:
for i in range(100):
premap(keys, False)
premaptime = elapsed.elapsed
print("remap", remaptime)
print("premap", premaptime)
print("speedup", remaptime / premaptime)
def speed_test_cupy_with_embed():
remap = chain(remap_ids_v2(mapper), Embed(N_dim, N_symbols))
premap = chain(premap_ids(mapper), Embed(N_dim, N_symbols))
remap.initialize()
premap.initialize()
keys = cp.random.randint(0, N_symbols, N_tokens)
with time_context() as elapsed:
for i in range(100):
remap(keys, False)
remaptime = elapsed.elapsed
with time_context() as elapsed:
for i in range(100):
premap(keys, False)
premaptime = elapsed.elapsed
print("remap", remaptime)
print("premap", premaptime)
print("speedup", remaptime / premaptime)
def speed_test_hashembed():
embed = HashEmbed(N_dim, N_symbols)
embed.initialize()
keys = np.random.randint(0, N_symbols, N_tokens)
with time_context() as elapsed:
for i in range(100):
embed(keys, False)
print(elapsed.elapsed)
print("No columns")
speed_test_no_column()
print("Columns")
speed_test_column()
print("Cupy")
speed_test_cupy()
print("With Embed")
speed_test_with_embed()
print("Cupy With Embed")
speed_test_cupy_with_embed()
print("HashEmbed speed")
speed_test_hashembed()
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