Note
Click here to download the full example code
Benchmark, comparison scikit-learn - forward-backward#
The benchmark compares the processing time between scikit-learn and onnxruntime-training on a linear regression and a neural network. It replicates the benchmark implemented in Benchmark, comparison scikit-learn - onnxruntime-training but uses the forward backward approach developped in Train a linear regression with forward backward.
First comparison: neural network#
import warnings
import time
import numpy
import matplotlib.pyplot as plt
from pandas import DataFrame
from onnxruntime import get_device
from pyquickhelper.pycode.profiling import profile, profile2graph
from sklearn.datasets import make_regression
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPRegressor
from mlprodict.onnx_conv import to_onnx
from onnxcustom.utils.onnx_helper import onnx_rename_weights
from onnxcustom.training.optimizers_partial import (
OrtGradientForwardBackwardOptimizer)
X, y = make_regression(1000, n_features=100, bias=2)
X = X.astype(numpy.float32)
y = y.astype(numpy.float32)
X_train, X_test, y_train, y_test = train_test_split(X, y)
Benchmark function.
def benchmark(X, y, skl_model, train_session, name, verbose=True):
"""
:param skl_model: model from scikit-learn
:param train_session: instance of OrtGradientForwardBackwardOptimizer
:param name: experiment name
:param verbose: to debug
"""
print(f"[benchmark] {name}")
begin = time.perf_counter()
skl_model.fit(X, y)
duration_skl = time.perf_counter() - begin
length_skl = len(skl_model.loss_curve_)
print(
f"[benchmark] skl={length_skl!r} iterations - {duration_skl!r} seconds")
begin = time.perf_counter()
train_session.fit(X, y)
duration_ort = time.perf_counter() - begin
length_ort = len(train_session.train_losses_)
print(
f"[benchmark] ort={length_ort!r} iteration - {duration_ort!r} seconds")
return dict(skl=duration_skl, ort=duration_ort, name=name,
iter_skl=length_skl, iter_ort=length_ort,
losses_skl=skl_model.loss_curve_,
losses_ort=train_session.train_losses_)
Common parameters and model
batch_size = 15
max_iter = 100
nn = MLPRegressor(hidden_layer_sizes=(50, 10), max_iter=max_iter,
solver='sgd', learning_rate_init=5e-4, alpha=0,
n_iter_no_change=max_iter * 3, batch_size=batch_size,
nesterovs_momentum=False, momentum=0,
learning_rate="invscaling")
with warnings.catch_warnings():
warnings.simplefilter('ignore')
nn.fit(X_train, y_train)
Conversion to ONNX and trainer initialization
onx = to_onnx(nn, X_train[:1].astype(numpy.float32), target_opset=15)
onx = onnx_rename_weights(onx)
train_session = OrtGradientForwardBackwardOptimizer(
onx, device='cpu', learning_rate=1e-5,
warm_start=False, max_iter=max_iter, batch_size=batch_size)
benches = [benchmark(X_train, y_train, nn, train_session, name='NN-CPU')]
[benchmark] NN-CPU
somewhere/workspace/onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:679: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
warnings.warn(
[benchmark] skl=100 iterations - 6.7421140319202095 seconds
[benchmark] ort=100 iteration - 8.580952186952345 seconds
Profiling#
def clean_name(text):
pos = text.find('onnxruntime')
if pos >= 0:
return text[pos:]
pos = text.find('sklearn')
if pos >= 0:
return text[pos:]
pos = text.find('onnxcustom')
if pos >= 0:
return text[pos:]
pos = text.find('site-packages')
if pos >= 0:
return text[pos:]
return text
ps = profile(lambda: benchmark(X_train, y_train,
nn, train_session, name='NN-CPU'))[0]
root, nodes = profile2graph(ps, clean_text=clean_name)
text = root.to_text()
print(text)
[benchmark] NN-CPU
somewhere/workspace/onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:679: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
warnings.warn(
[benchmark] skl=100 iterations - 7.738673658925109 seconds
[benchmark] ort=100 iteration - 9.941554001998156 seconds
isfunction -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:159:isfunction (isfunction)
name -- 101 101 -- 0.00003 0.00003 -- /usr/local/lib/python3.9/inspect.py:2565:name (name)
kind -- 82 82 -- 0.00003 0.00003 -- /usr/local/lib/python3.9/inspect.py:2577:kind (kind)
parameters -- 7 7 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2882:parameters (parameters)
signature -- 3 3 -- 0.00001 0.00097 -- /usr/local/lib/python3.9/inspect.py:3128:signature (signature)
from_callable -- 3 3 -- 0.00001 0.00096 -- /usr/local/lib/python3.9/inspect.py:2876:from_callable (from_callable)
_signature_from_callable -- 3 3 -- 0.00007 0.00096 -- /usr/local/lib/python3.9/inspect.py:2244:_signature_from_callable (_signature_from_callable)
isfunction -- 3 3 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:159:isfunction (isfunction) +++
unwrap -- 3 3 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/inspect.py:494:unwrap (unwrap)
_is_wrapper -- 3 3 -- 0.00000 0.00001 -- /usr/local/lib/python3.9/inspect.py:514:_is_wrapper (_is_wrapper)
_signature_from_function -- 3 3 -- 0.00029 0.00084 -- /usr/local/lib/python3.9/inspect.py:2150:_signature_from_function (_signature_from_function)
isfunction -- 3 3 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:159:isfunction (isfunction) +++
__init__ -- 34 34 -- 0.00022 0.00038 -- /usr/local/lib/python3.9/inspect.py:2515:__init__ (__init__)
__call__ -- 34 34 -- 0.00009 0.00012 -- /usr/local/lib/python3.9/enum.py:289:__call__ (__call__)
__new__ -- 34 34 -- 0.00003 0.00003 -- /usr/local/lib/python3.9/enum.py:580:__new__ (__new__)
<method 'isidentifier' of 'str' objects> -- 34 34 -- 0.00003 0.00003 -- ~:0:<method 'isidentifier' of 'str' objects> (<method 'isidentifier' of 'str' objects>)
<built-in method builtins.isinstance> -- 34 34 -- 0.00002 0.00002 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
__init__ -- 3 3 -- 0.00007 0.00013 -- /usr/local/lib/python3.9/inspect.py:2798:__init__ (__init__)
<genexpr> -- 37 37 -- 0.00004 0.00005 -- /usr/local/lib/python3.9/inspect.py:2847:<genexpr> (<genexpr>)
name -- 34 34 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2565:name (name) +++
<method 'append' of 'list' objects> -- 34 34 -- 0.00001 0.00001 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>) +++
<method 'get' of 'dict' objects> -- 58 58 -- 0.00002 0.00002 -- ~:0:<method 'get' of 'dict' objects> (<method 'get' of 'dict' objects>) +++
filter -- 18 18 -- 0.00006 0.00016 -- /usr/local/lib/python3.9/logging/__init__.py:787:filter (filter)
filter -- 12 12 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:351:filter (filter)
filter -- 6 6 -- 0.00004 0.00005 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:484:filter (filter)
<built-in method builtins.isinstance> -- 18 18 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method builtins.hasattr> -- 18 18 -- 0.00003 0.00003 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
acquire -- 30 30 -- 0.00005 0.00009 -- /usr/local/lib/python3.9/logging/__init__.py:892:acquire (acquire)
<method 'acquire' of '_thread.RLock' objects> -- 30 30 -- 0.00003 0.00003 -- ~:0:<method 'acquire' of '_thread.RLock' objects> (<method 'acquire' of '_thread.RLock' objects>)
release -- 30 30 -- 0.00005 0.00006 -- /usr/local/lib/python3.9/logging/__init__.py:899:release (release)
<method 'release' of '_thread.RLock' objects> -- 30 30 -- 0.00001 0.00001 -- ~:0:<method 'release' of '_thread.RLock' objects> (<method 'release' of '_thread.RLock' objects>)
emit -- 12 12 -- 0.00007 0.00092 -- /usr/local/lib/python3.9/logging/__init__.py:1067:emit (emit)
format -- 12 12 -- 0.00003 0.00047 -- /usr/local/lib/python3.9/logging/__init__.py:912:format (format)
format -- 12 12 -- 0.00008 0.00043 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:531:format (format)
format -- 12 12 -- 0.00007 0.00032 -- /usr/local/lib/python3.9/logging/__init__.py:646:format (format)
usesTime -- 12 12 -- 0.00002 0.00007 -- /usr/local/lib/python3.9/logging/__init__.py:624:usesTime (usesTime)
usesTime -- 12 12 -- 0.00003 0.00005 -- /usr/local/lib/python3.9/logging/__init__.py:417:usesTime (usesTime)
<method 'find' of 'str' objects> -- 12 12 -- 0.00002 0.00002 -- ~:0:<method 'find' of 'str' objects> (<method 'find' of 'str' objects>)
formatMessage -- 12 12 -- 0.00002 0.00008 -- /usr/local/lib/python3.9/logging/__init__.py:630:formatMessage (formatMessage)
format -- 12 12 -- 0.00002 0.00006 -- /usr/local/lib/python3.9/logging/__init__.py:428:format (format)
_format -- 12 12 -- 0.00004 0.00004 -- /usr/local/lib/python3.9/logging/__init__.py:425:_format (_format)
getMessage -- 12 12 -- 0.00005 0.00011 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:89:getMessage (getMessage)
getMessage -- 12 12 -- 0.00005 0.00005 -- /usr/local/lib/python3.9/logging/__init__.py:354:getMessage (getMessage)
<built-in method builtins.getattr> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.getattr> (<built-in method builtins.getattr>) +++
colorize -- 2 2 -- 0.00001 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/console.py:72:colorize (colorize)
escseq -- 4 4 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/console.py:73:escseq (escseq)
<built-in method builtins.getattr> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.getattr> (<built-in method builtins.getattr>) +++
flush -- 12 12 -- 0.00006 0.00033 -- /usr/local/lib/python3.9/logging/__init__.py:1056:flush (flush)
acquire -- 12 12 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/logging/__init__.py:892:acquire (acquire) +++
release -- 12 12 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/logging/__init__.py:899:release (release) +++
flush -- 6 6 -- 0.00002 0.00020 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:557:flush (flush)
<method 'flush' of '_io.TextIOWrapper' objects> -- 6 6 -- 0.00018 0.00018 -- ~:0:<method 'flush' of '_io.TextIOWrapper' objects> (<method 'flush' of '_io.TextIOWrapper' objects>)
<built-in method builtins.hasattr> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
write -- 6 6 -- 0.00002 0.00003 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:549:write (write)
write -- 6 6 -- 0.00002 0.00003 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:567:write (write)
isEnabledFor -- 12 12 -- 0.00002 0.00002 -- /usr/local/lib/python3.9/logging/__init__.py:1677:isEnabledFor (isEnabledFor)
inner -- 6 6 -- 0.00002 0.00002 -- /usr/local/lib/python3.9/typing.py:256:inner (inner)
cast -- 6 6 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/typing.py:1326:cast (cast)
__init__ -- 2 2 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/warnings.py:403:__init__ (__init__)
<lambda> -- 1 1 -- 0.00001 17.68219 -- onnxcustom/onnxcustom_UT_39_std/_doc/examples/plot_orttraining_benchmark_fwbw.py:124:<lambda> (<lambda>)
benchmark -- 1 1 -- 0.00010 17.68219 -- onnxcustom/onnxcustom_UT_39_std/_doc/examples/plot_orttraining_benchmark_fwbw.py:46:benchmark (benchmark)
fit -- 1 1 -- 0.00428 9.94152 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:288:fit (fit)
__init__ -- 1 1 -- 0.00004 0.00008 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/data_loader.py:31:__init__ (__init__)
get_ort_device -- 1 1 -- 0.00000 0.00000 -- onnxruntime_helper.py:63:get_ort_device (get_ort_device)
numpy_to_ort_value -- 2 2 -- 0.00000 0.00002 -- onnxruntime_helper.py:133:numpy_to_ort_value (numpy_to_ort_value) +++
needs_grad -- 3 3 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:104:needs_grad (needs_grad)
needs_grad -- 3 3 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:194:needs_grad (needs_grad)
get_full_state -- 101 101 -- 0.00060 0.00185 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:155:get_full_state (get_full_state) +++
set_state -- 2 2 -- 0.00009 0.00029 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:216:set_state (set_state)
_get_att_state -- 2 2 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:147:_get_att_state (_get_att_state) +++
numpy_to_ort_value -- 12 12 -- 0.00003 0.00015 -- onnxruntime_helper.py:133:numpy_to_ort_value (numpy_to_ort_value) +++
<method 'append' of 'list' objects> -- 28 28 -- 0.00001 0.00001 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>) +++
<built-in method builtins.isinstance> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<listcomp> -- 1 1 -- 0.00004 0.00212 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:339:<listcomp> (<listcomp>)
get_initializer -- 7 7 -- 0.00014 0.00209 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:278:get_initializer (get_initializer)
to_array -- 6 6 -- 0.00016 0.00195 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/numpy_helper.py:35:to_array (to_array)
uses_external_data -- 6 6 -- 0.00001 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/external_data_helper.py:273:uses_external_data (uses_external_data)
tensor_dtype_to_np_dtype -- 12 12 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/helper.py:1137:tensor_dtype_to_np_dtype (tensor_dtype_to_np_dtype)
tensor_dtype_to_storage_tensor_dtype -- 6 6 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/helper.py:1147:tensor_dtype_to_storage_tensor_dtype (tensor_dtype_to_storage_tensor_dtype)
tensor_dtype_to_field -- 6 6 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/helper.py:1167:tensor_dtype_to_field (tensor_dtype_to_field)
<method 'HasField...essage' objects> -- 12 12 -- 0.00003 0.00003 -- ~:0:<method 'HasField' of 'google.protobuf.pyext._message.CMessage' objects> (<method 'HasField' of 'google.protobuf.pyext._message.CMessage' objects>) +++
<built-in method numpy.asarray> -- 6 6 -- 0.00159 0.00159 -- ~:0:<built-in method numpy.asarray> (<built-in method numpy.asarray>) +++
_iteration -- 100 100 -- 1.14051 9.87827 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:424:_iteration (_iteration)
iter_ortvalue -- 5100 5100 -- 0.09284 0.51146 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/data_loader.py:147:iter_ortvalue (iter_ortvalue)
_next_iter -- 5000 5000 -- 0.02890 0.27638 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/data_loader.py:98:_next_iter (_next_iter)
<method 'randint'...mState' objects> -- 5000 5000 -- 0.23792 0.23792 -- ~:0:<method 'randint' of 'numpy.random.mtrand.RandomState' objects> (<method 'randint' of 'numpy.random.mtrand.RandomState' objects>)
<built-in method builtins.len> -- 5000 5000 -- 0.00564 0.00955 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
numpy_to_ort_value -- 10000 10000 -- 0.02078 0.11462 -- onnxruntime_helper.py:133:numpy_to_ort_value (numpy_to_ort_value) +++
<built-in method builtins.len> -- 5200 5200 -- 0.01337 0.02762 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
forward -- 5000 5000 -- 0.90311 1.17092 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:669:forward (forward)
input_to_ort -- 5000 5000 -- 0.15747 0.22587 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:592:input_to_ort (input_to_ort) +++
save_for_backward -- 5000 5000 -- 0.03396 0.03396 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:644:save_for_backward (save_for_backward)
<method 'append' of 'list' objects> -- 5000 5000 -- 0.00799 0.00799 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>) +++
backward -- 5000 5000 -- 1.22054 1.35949 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:747:backward (backward)
input_to_ort -- 5000 5000 -- 0.09584 0.12645 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:592:input_to_ort (input_to_ort) +++
saved_tensors -- 5000 5000 -- 0.00465 0.00465 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:656:saved_tensors (saved_tensors)
<method 'pop' of 'list' objects> -- 5000 5000 -- 0.00785 0.00785 -- ~:0:<method 'pop' of 'list' objects> (<method 'pop' of 'list' objects>)
loss_gradient -- 5000 5000 -- 1.30555 1.89041 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_loss.py:61:loss_gradient (loss_gradient)
clear_binding_inputs -- 5000 5000 -- 0.01551 0.03591 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:145:clear_binding_inputs (clear_binding_inputs)
_cache_in_clear -- 5000 5000 -- 0.01497 0.02040 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:134:_cache_in_clear (_cache_in_clear)
<built-in method builtins.id> -- 5000 5000 -- 0.00543 0.00543 -- ~:0:<built-in method builtins.id> (<built-in method builtins.id>) +++
_bind_input_ortvalue -- 10000 10000 -- 0.05878 0.24194 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:177:_bind_input_ortvalue (_bind_input_ortvalue) +++
_call_iobinding -- 5000 5000 -- 0.29915 0.29915 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_loss.py:58:_call_iobinding (_call_iobinding)
<built-in method builtins.hasattr> -- 10000 10000 -- 0.00785 0.00785 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
penalty_loss -- 5000 5000 -- 0.00354 0.00354 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_penalty.py:101:penalty_loss (penalty_loss)
update_weights -- 30000 30000 -- 0.01407 0.01407 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_penalty.py:115:update_weights (update_weights)
update_weights -- 30000 30000 -- 1.02702 3.72939 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:258:update_weights (update_weights)
_bind_input_ortvalue -- 90000 90000 -- 0.32448 0.98387 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:177:_bind_input_ortvalue (_bind_input_ortvalue) +++
_bind_output_ortvalue -- 30000 30000 -- 0.10338 0.31148 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:221:_bind_output_ortvalue (_bind_output_ortvalue)
_bio_cache -- 30000 30000 -- 0.07221 0.08894 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:156:_bio_cache (_bio_cache) +++
_bio_ptr -- 30000 30000 -- 0.10755 0.10755 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:173:_bio_ptr (_bio_ptr) +++
<built-in method ...tins.isinstance> -- 30000 30000 -- 0.01162 0.01162 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
_call_iobinding -- 30000 30000 -- 1.03680 1.03680 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:33:_call_iobinding (_call_iobinding)
value -- 30000 30000 -- 0.02599 0.02599 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:186:value (value) +++
<built-in method on...tvalue_from_numpy> -- 30000 30000 -- 0.30947 0.30947 -- ~:0:<built-in method onnxruntime.capi.onnxruntime_pybind11_state.ortvalue_from_numpy> (<built-in method onnxruntime.capi.onnxruntime_pybind11_state.ortvalue_from_numpy>) +++
<built-in method builtins.hasattr> -- 60000 60000 -- 0.03475 0.03475 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
<method 'mean' of 'numpy.ndarray' objects> -- 100 100 -- 0.00055 0.01095 -- ~:0:<method 'mean' of 'numpy.ndarray' objects> (<method 'mean' of 'numpy.ndarray' objects>) +++
<built-in method numpy.array> -- 100 100 -- 0.00620 0.00620 -- ~:0:<built-in method numpy.array> (<built-in method numpy.array>) +++
<method 'append' of 'list' objects> -- 5000 5000 -- 0.00470 0.00470 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>) +++
<built-in method builtins.len> -- 30100 30100 -- 0.03662 0.03662 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
_create_training_session -- 1 1 -- 0.00003 0.05102 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:659:_create_training_session (_create_training_session)
__init__ -- 1 1 -- 0.00014 0.05095 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:59:__init__ (__init__)
<listcomp> -- 1 1 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:96:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:99:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:117:<listcomp> (<listcomp>)
_init_next -- 1 1 -- 0.00016 0.05076 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:169:_init_next (_init_next)
<listcomp> -- 1 1 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:179:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:181:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:184:<listcomp> (<listcomp>)
_create_onnx_graphs -- 1 1 -- 0.00635 0.05056 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:299:_create_onnx_graphs (_create_onnx_graphs)
<listcomp> -- 1 1 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:418:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:419:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00003 0.00004 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:421:<listcomp> (<listcomp>)
_provider_nam..._device_type -- 1 1 -- 0.00000 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:269:_provider_name_to_device_type (_provider_name_to_device_type) +++
<listcomp> -- 1 1 -- 0.00006 0.00008 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:426:<listcomp> (<listcomp>)
_provider_nam..._device_type -- 7 7 -- 0.00001 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:269:_provider_name_to_device_type (_provider_name_to_device_type) +++
<listcomp> -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:432:<listcomp> (<listcomp>)
_provider_nam..._device_type -- 1 1 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:269:_provider_name_to_device_type (_provider_name_to_device_type) +++
<listcomp> -- 1 1 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:511:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:512:<listcomp> (<listcomp>)
load_model -- 2 2 -- 0.00001 0.00091 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/__init__.py:116:load_model (load_model)
_load_bytes -- 2 2 -- 0.00004 0.00006 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/__init__.py:30:_load_bytes (_load_bytes)
inner -- 4 4 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/typing.py:256:inner (inner) +++
cast -- 4 4 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/typing.py:1326:cast (cast) +++
_get_file_path -- 2 2 -- 0.00000 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/__init__.py:50:_get_file_path (_get_file_path)
load_model_from_string -- 2 2 -- 0.00002 0.00083 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/__init__.py:160:load_model_from_string (load_model_from_string)
_deserialize -- 2 2 -- 0.00003 0.00081 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/onnx/__init__.py:89:_deserialize (_deserialize)
inner -- 2 2 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/typing.py:256:inner (inner) +++
cast -- 2 2 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/typing.py:1326:cast (cast) +++
<method '...objects> -- 2 2 -- 0.00077 0.00077 -- ~:0:<method 'ParseFromString' of 'google.protobuf.pyext._message.CMessage' objects> (<method 'ParseFromString' of 'google.protobuf.pyext._message.CMessage' objects>)
get_inputs -- 1 1 -- 0.00000 0.00000 -- onnxruntime/capi/onnxruntime_inference_collection.py:117:get_inputs (get_inputs)
get_outputs -- 1 1 -- 0.00000 0.00000 -- onnxruntime/capi/onnxruntime_inference_collection.py:121:get_outputs (get_outputs)
__init__ -- 2 2 -- 0.00007 0.04287 -- onnxruntime/capi/onnxruntime_inference_collection.py:308:__init__ (__init__)
get -- 2 2 -- 0.00001 0.00007 -- /usr/local/lib/python3.9/_collections_abc.py:675:get (get)
__getitem__ -- 2 2 -- 0.00003 0.00006 -- /usr/local/lib/python3.9/os.py:674:__getitem__ (__getitem__)
encode -- 2 2 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/os.py:754:encode (encode)
__init__ -- 2 2 -- 0.00001 0.00001 -- onnxruntime/capi/onnxruntime_inference_collection.py:107:__init__ (__init__)
_create_inference_session -- 2 2 -- 0.04254 0.04271 -- onnxruntime/capi/onnxruntime_inference_collection.py:371:_create_inference_session (_create_inference_session)
check_and_n...vider_args -- 2 2 -- 0.00008 0.00015 -- onnxruntime/capi/onnxruntime_inference_collection.py:24:check_and_normalize_provider_args (check_and_normalize_provider_args)
set_provider_options -- 2 2 -- 0.00002 0.00002 -- onnxruntime/capi/onnxruntime_inference_collection.py:52:set_provider_options (set_provider_options)
<dictcomp> -- 2 2 -- 0.00000 0.00000 -- onnxruntime/capi/onnxruntime_inference_collection.py:63:<dictcomp> (<dictcomp>)
<listcomp> -- 2 2 -- 0.00001 0.00001 -- onnxruntime/capi/onnxruntime_inference_collection.py:76:<listcomp> (<listcomp>)
<listcomp> -- 2 2 -- 0.00000 0.00000 -- onnxruntime/capi/onnxruntime_inference_collection.py:79:<listcomp> (<listcomp>)
<method 'Serial...sage' objects> -- 1 1 -- 0.00020 0.00020 -- ~:0:<method 'SerializeToString' of 'google.protobuf.pyext._message.CMessage' objects> (<method 'SerializeToString' of 'google.protobuf.pyext._message.CMessage' objects>)
<built-in method builtins.len> -- 16 16 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
new_instance -- 1 1 -- 0.00000 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:217:new_instance (new_instance)
__init__ -- 1 1 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:536:__init__ (__init__)
device_to_providers -- 1 1 -- 0.00004 0.00004 -- onnxruntime_helper.py:149:device_to_providers (device_to_providers)
value -- 100 100 -- 0.00009 0.00009 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:186:value (value) +++
init_learning_rate -- 1 1 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:205:init_learning_rate (init_learning_rate)
update_learning_rate -- 100 100 -- 0.00276 0.00276 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:226:update_learning_rate (update_learning_rate)
proto_type_to_dtype -- 6 6 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/utils/onnx_helper.py:61:proto_type_to_dtype (proto_type_to_dtype)
<method 'randn' of 'num....RandomState' objects> -- 6 6 -- 0.00055 0.00055 -- ~:0:<method 'randn' of 'numpy.random.mtrand.RandomState' objects> (<method 'randn' of 'numpy.random.mtrand.RandomState' objects>)
<method 'append' of 'list' objects> -- 107 107 -- 0.00007 0.00007 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>) +++
<built-in method builtins.len> -- 108 108 -- 0.00005 0.00005 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
fit -- 1 1 -- 0.00002 7.73866 -- sklearn/neural_network/_multilayer_perceptron.py:723:fit (fit)
_validate_params -- 1 1 -- 0.00002 0.00286 -- sklearn/base.py:562:_validate_params (_validate_params)
get_params -- 1 1 -- 0.00003 0.00082 -- sklearn/base.py:153:get_params (get_params)
_get_param_names -- 1 1 -- 0.00005 0.00078 -- sklearn/base.py:122:_get_param_names (_get_param_names)
kind -- 23 23 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2577:kind (kind) +++
parameters -- 1 1 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2882:parameters (parameters) +++
signature -- 1 1 -- 0.00000 0.00064 -- /usr/local/lib/python3.9/inspect.py:3128:signature (signature) +++
<listcomp> -- 1 1 -- 0.00004 0.00006 -- sklearn/base.py:136:<listcomp> (<listcomp>)
name -- 24 24 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2565:name (name) +++
kind -- 23 23 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2577:kind (kind) +++
<listcomp> -- 1 1 -- 0.00001 0.00002 -- sklearn/base.py:151:<listcomp> (<listcomp>)
name -- 23 23 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2565:name (name) +++
<built-in method builtins.getattr> -- 23 23 -- 0.00002 0.00002 -- ~:0:<built-in method builtins.getattr> (<built-in method builtins.getattr>) +++
validate_parameter_constraints -- 1 1 -- 0.00014 0.00202 -- sklearn/utils/_param_validation.py:28:validate_parameter_constraints (validate_parameter_constraints) +++
_fit -- 1 1 -- 0.00011 7.73578 -- sklearn/neural_network/_multilayer_perceptron.py:417:_fit (_fit)
any -- 1 1 -- 0.00001 0.00008 -- <__array_function__ internals>:177:any (any)
_any_dispatcher -- 1 1 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2328:_any_dispatcher (_any_dispatcher)
_initialize -- 1 1 -- 0.00004 0.00049 -- sklearn/neural_network/_multilayer_perceptron.py:357:_initialize (_initialize)
is_classifier -- 1 1 -- 0.00000 0.00000 -- sklearn/base.py:993:is_classifier (is_classifier)
_init_coef -- 3 3 -- 0.00008 0.00045 -- sklearn/neural_network/_multilayer_perceptron.py:400:_init_coef (_init_coef)
<method 'uniform'...mState' objects> -- 6 6 -- 0.00032 0.00032 -- ~:0:<method 'uniform' of 'numpy.random.mtrand.RandomState' objects> (<method 'uniform' of 'numpy.random.mtrand.RandomState' objects>)
<listcomp> -- 1 1 -- 0.00001 0.00002 -- sklearn/neural_network/_multilayer_perceptron.py:455:<listcomp> (<listcomp>)
<listcomp> -- 1 1 -- 0.00000 0.00001 -- sklearn/neural_network/_multilayer_perceptron.py:460:<listcomp> (<listcomp>)
_fit_stochastic -- 1 1 -- 0.20103 7.73381 -- sklearn/neural_network/_multilayer_perceptron.py:540:_fit_stochastic (_fit_stochastic)
clip -- 1 1 -- 0.00000 0.00016 -- <__array_function__ internals>:177:clip (clip)
_clip_dispatcher -- 1 1 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2107:_clip_dispatcher (_clip_dispatcher)
<built-in method ..._array_function> -- 1 1 -- 0.00000 0.00016 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>) +++
_backprop -- 5000 5000 -- 0.41618 5.78974 -- sklearn/neural_network/_multilayer_perceptron.py:278:_backprop (_backprop)
dot -- 15000 15000 -- 0.05229 0.21245 -- <__array_function__ internals>:177:dot (dot)
dot -- 15000 15000 -- 0.00926 0.00926 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/multiarray.py:740:dot (dot)
<built-in metho...rray_function> -- 15000 15000 -- 0.15090 0.15090 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>) +++
inplace_relu_derivative -- 10000 10000 -- 0.31373 0.31373 -- sklearn/neural_network/_base.py:132:inplace_relu_derivative (inplace_relu_derivative)
squared_loss -- 5000 5000 -- 0.16139 0.56343 -- sklearn/neural_network/_base.py:158:squared_loss (squared_loss)
<method 'mean' ...rray' objects> -- 5000 5000 -- 0.02052 0.40204 -- ~:0:<method 'mean' of 'numpy.ndarray' objects> (<method 'mean' of 'numpy.ndarray' objects>) +++
_forward_pass -- 5000 5000 -- 0.36596 1.04699 -- sklearn/neural_network/_multilayer_perceptron.py:156:_forward_pass (_forward_pass)
inplace_identity -- 5000 5000 -- 0.00360 0.00360 -- sklearn/neural_network/_base.py:13:inplace_identity (inplace_identity)
inplace_relu -- 10000 10000 -- 0.18498 0.18498 -- sklearn/neural_network/_base.py:47:inplace_relu (inplace_relu)
safe_sparse_dot -- 15000 15000 -- 0.46051 0.49245 -- sklearn/utils/extmath.py:156:safe_sparse_dot (safe_sparse_dot) +++
_compute_loss_grad -- 15000 15000 -- 0.84857 2.97290 -- sklearn/neural_network/_multilayer_perceptron.py:214:_compute_loss_grad (_compute_loss_grad)
mean -- 15000 15000 -- 0.05883 1.61252 -- <__array_function__ internals>:177:mean (mean)
_mean_dispatcher -- 15000 15000 -- 0.01043 0.01043 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3340:_mean_dispatcher (_mean_dispatcher)
<built-in met...ay_function> -- 15000 15000 -- 0.04918 1.54325 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>) +++
safe_sparse_dot -- 15000 15000 -- 0.47966 0.51181 -- sklearn/utils/extmath.py:156:safe_sparse_dot (safe_sparse_dot) +++
safe_sparse_dot -- 10000 10000 -- 0.21871 0.23984 -- sklearn/utils/extmath.py:156:safe_sparse_dot (safe_sparse_dot) +++
<method 'ravel' o...darray' objects> -- 15000 15000 -- 0.02422 0.02422 -- ~:0:<method 'ravel' of 'numpy.ndarray' objects> (<method 'ravel' of 'numpy.ndarray' objects>)
_update_no_improvement_count -- 100 100 -- 0.00053 0.00053 -- sklearn/neural_network/_multilayer_perceptron.py:694:_update_no_improvement_count (_update_no_improvement_count)
update_params -- 5000 5000 -- 0.25584 1.40933 -- sklearn/neural_network/_stochastic_optimizers.py:29:update_params (update_params)
<genexpr> -- 35000 35000 -- 0.02199 0.02199 -- sklearn/neural_network/_stochastic_optimizers.py:43:<genexpr> (<genexpr>)
_get_updates -- 5000 5000 -- 0.04984 1.13150 -- sklearn/neural_network/_stochastic_optimizers.py:169:_get_updates (_get_updates)
<listcomp> -- 5000 5000 -- 1.08166 1.08166 -- sklearn/neural_network/_stochastic_optimizers.py:183:<listcomp> (<listcomp>)
__init__ -- 1 1 -- 0.00001 0.00029 -- sklearn/neural_network/_stochastic_optimizers.py:121:__init__ (__init__)
__init__ -- 1 1 -- 0.00000 0.00000 -- sklearn/neural_network/_stochastic_optimizers.py:25:__init__ (__init__)
<listcomp> -- 1 1 -- 0.00002 0.00027 -- sklearn/neural_network/_stochastic_optimizers.py:136:<listcomp> (<listcomp>)
zeros_like -- 6 6 -- 0.00002 0.00025 -- <__array_function__ internals>:177:zeros_like (zeros_like)
_zeros_like_dispatcher -- 6 6 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/numeric.py:73:_zeros_like_dispatcher (_zeros_like_dispatcher)
<built-in met...ay_function> -- 6 6 -- 0.00002 0.00023 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>) +++
iteration_ends -- 100 100 -- 0.00100 0.00100 -- sklearn/neural_network/_stochastic_optimizers.py:138:iteration_ends (iteration_ends)
_safe_indexing -- 5000 5000 -- 0.03959 0.27465 -- sklearn/utils/__init__.py:285:_safe_indexing (_safe_indexing) +++
shuffle -- 100 100 -- 0.00095 0.03101 -- sklearn/utils/__init__.py:617:shuffle (shuffle)
resample -- 100 100 -- 0.00248 0.03006 -- sklearn/utils/__init__.py:467:resample (resample)
<listcomp> -- 100 100 -- 0.00033 0.00055 -- sklearn/utils/__init__.py:608:<listcomp> (<listcomp>)
isspmatrix -- 100 100 -- 0.00012 0.00023 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/scipy/sparse/_base.py:1301:isspmatrix (isspmatrix) +++
<listcomp> -- 100 100 -- 0.00030 0.00462 -- sklearn/utils/__init__.py:609:<listcomp> (<listcomp>)
_safe_indexing -- 100 100 -- 0.00078 0.00432 -- sklearn/utils/__init__.py:285:_safe_indexing (_safe_indexing) +++
check_consistent_length -- 100 100 -- 0.00091 0.01386 -- sklearn/utils/validation.py:383:check_consistent_length (check_consistent_length) +++
check_random_state -- 100 100 -- 0.00057 0.00179 -- sklearn/utils/validation.py:1197:check_random_state (check_random_state) +++
<method 'shuffl...tate' objects> -- 100 100 -- 0.00510 0.00510 -- ~:0:<method 'shuffle' of 'numpy.random.mtrand.RandomState' objects> (<method 'shuffle' of 'numpy.random.mtrand.RandomState' objects>)
<built-in method numpy.arange> -- 100 100 -- 0.00137 0.00137 -- ~:0:<built-in method numpy.arange> (<built-in method numpy.arange>) +++
<built-in metho...ltins.hasattr> -- 100 100 -- 0.00016 0.00016 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
<built-in method builtins.len> -- 200 200 -- 0.00013 0.00013 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
gen_batches -- 5100 5100 -- 0.02447 0.02503 -- sklearn/utils/__init__.py:728:gen_batches (gen_batches)
<built-in method ...tins.isinstance> -- 100 100 -- 0.00022 0.00057 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<method 'append' of 'list' objects> -- 100 100 -- 0.00010 0.00010 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>) +++
<built-in method _warnings.warn> -- 1 1 -- 0.00006 0.00092 -- ~:0:<built-in method _warnings.warn> (<built-in method _warnings.warn>)
_showwarnmsg -- 1 1 -- 0.00001 0.00086 -- /usr/local/lib/python3.9/warnings.py:96:_showwarnmsg (_showwarnmsg)
_showwarning -- 1 1 -- 0.00001 0.00085 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx_gallery/gen_rst.py:557:_showwarning (_showwarning)
formatwarning -- 1 1 -- 0.00001 0.00005 -- /usr/local/lib/python3.9/warnings.py:15:formatwarning (formatwarning)
_formatwarnmsg_impl -- 1 1 -- 0.00003 0.00004 -- /usr/local/lib/python3.9/warnings.py:35:_formatwarnmsg_impl (_formatwarnmsg_impl)
getline -- 1 1 -- 0.00000 0.00001 -- /usr/local/lib/python3.9/linecache.py:26:getline (getline)
getlines -- 1 1 -- 0.00000 0.00001 -- /usr/local/lib/python3.9/linecache.py:36:getlines (getlines)
__init__ -- 1 1 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/warnings.py:403:__init__ (__init__) +++
write -- 1 1 -- 0.00002 0.00079 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx_gallery/gen_rst.py:83:write (write) +++
__init__ -- 1 1 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/warnings.py:403:__init__ (__init__) +++
_validate_input -- 1 1 -- 0.00002 0.00101 -- sklearn/neural_network/_multilayer_perceptron.py:1582:_validate_input (_validate_input)
_validate_data -- 1 1 -- 0.00002 0.00099 -- sklearn/base.py:453:_validate_data (_validate_data)
_check_n_features -- 1 1 -- 0.00000 0.00002 -- sklearn/base.py:318:_check_n_features (_check_n_features)
_num_features -- 1 1 -- 0.00001 0.00001 -- sklearn/utils/validation.py:267:_num_features (_num_features)
_check_feature_names -- 1 1 -- 0.00000 0.00001 -- sklearn/base.py:364:_check_feature_names (_check_feature_names)
_get_feature_names -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/validation.py:1860:_get_feature_names (_get_feature_names)
check_X_y -- 1 1 -- 0.00001 0.00095 -- sklearn/utils/validation.py:979:check_X_y (check_X_y)
check_consistent_length -- 1 1 -- 0.00001 0.00017 -- sklearn/utils/validation.py:383:check_consistent_length (check_consistent_length) +++
check_array -- 1 1 -- 0.00005 0.00047 -- sklearn/utils/validation.py:629:check_array (check_array) +++
_check_y -- 1 1 -- 0.00001 0.00030 -- sklearn/utils/validation.py:1127:_check_y (_check_y)
check_array -- 1 1 -- 0.00004 0.00029 -- sklearn/utils/validation.py:629:check_array (check_array) +++
check_random_state -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/validation.py:1197:check_random_state (check_random_state) +++
<built-in method builtins.all> -- 1 1 -- 0.00001 0.00023 -- ~:0:<built-in method builtins.all> (<built-in method builtins.all>) +++
<built-in method builtins.print> -- 3 3 -- 0.00003 0.00190 -- ~:0:<built-in method builtins.print> (<built-in method builtins.print>)
write -- 6 6 -- 0.00008 0.00186 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx_gallery/gen_rst.py:83:write (write) +++
_bio_cache -- 130000 130000 -- 0.33028 0.40879 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:156:_bio_cache (_bio_cache)
<built-in method builtins.id> -- 130000 130000 -- 0.07851 0.07851 -- ~:0:<built-in method builtins.id> (<built-in method builtins.id>) +++
_bio_ptr -- 130000 130000 -- 0.48423 0.48423 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:173:_bio_ptr (_bio_ptr)
_bind_input_ortvalue -- 100000 100000 -- 0.38325 1.22581 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:177:_bind_input_ortvalue (_bind_input_ortvalue)
_bio_cache -- 100000 100000 -- 0.25807 0.31986 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:156:_bio_cache (_bio_cache) +++
_bio_do_bind_in -- 10597 10597 -- 0.10562 0.10562 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:169:_bio_do_bind_in (_bio_do_bind_in)
_bio_ptr -- 100000 100000 -- 0.37668 0.37668 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/_base_onnx_function.py:173:_bio_ptr (_bio_ptr) +++
<built-in method builtins.isinstance> -- 100000 100000 -- 0.04040 0.04040 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
_get_att_state -- 103 103 -- 0.00010 0.00010 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:147:_get_att_state (_get_att_state)
get_full_state -- 101 201 -- 0.00100 0.00185 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:155:get_full_state (get_full_state)
_get_att_state -- 101 101 -- 0.00009 0.00009 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:147:_get_att_state (_get_att_state) +++
<listcomp> -- 100 100 -- 0.00046 0.00120 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:163:<listcomp> (<listcomp>)
get_full_state -- 100 100 -- 0.00040 0.00075 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/optimizers_partial.py:155:get_full_state (get_full_state) +++
<built-in method builtins.getattr> -- 101 101 -- 0.00005 0.00005 -- ~:0:<built-in method builtins.getattr> (<built-in method builtins.getattr>) +++
<built-in method builtins.hasattr> -- 101 101 -- 0.00006 0.00006 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
<built-in method builtins.isinstance> -- 201 201 -- 0.00019 0.00019 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
_provider_name_to_device_type -- 9 9 -- 0.00002 0.00003 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:269:_provider_name_to_device_type (_provider_name_to_device_type)
input_to_ort -- 10000 10000 -- 0.25331 0.35231 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:592:input_to_ort (input_to_ort)
<built-in method builtins.all> -- 10000 10000 -- 0.03361 0.06633 -- ~:0:<built-in method builtins.all> (<built-in method builtins.all>) +++
<built-in method builtins.isinstance> -- 10000 10000 -- 0.02660 0.02660 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method builtins.len> -- 10000 10000 -- 0.00607 0.00607 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
value -- 30100 30100 -- 0.02608 0.02608 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/sgd_learning_rate.py:186:value (value)
_mean -- 20100 20100 -- 0.70561 1.78320 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:164:_mean (_mean)
__enter__ -- 15000 15000 -- 0.03751 0.11019 -- /usr/local/lib/python3.9/contextlib.py:112:__enter__ (__enter__)
<built-in method builtins.next> -- 15000 15000 -- 0.01392 0.07268 -- ~:0:<built-in method builtins.next> (<built-in method builtins.next>) +++
__exit__ -- 15000 15000 -- 0.06841 0.15410 -- /usr/local/lib/python3.9/contextlib.py:121:__exit__ (__exit__)
<built-in method builtins.next> -- 15000 15000 -- 0.02446 0.08569 -- ~:0:<built-in method builtins.next> (<built-in method builtins.next>) +++
helper -- 15000 15000 -- 0.04956 0.13764 -- /usr/local/lib/python3.9/contextlib.py:242:helper (helper)
__init__ -- 15000 15000 -- 0.07522 0.08808 -- /usr/local/lib/python3.9/contextlib.py:86:__init__ (__init__)
<built-in method builtins.getattr> -- 15000 15000 -- 0.01286 0.01286 -- ~:0:<built-in method builtins.getattr> (<built-in method builtins.getattr>) +++
_count_reduce_items -- 20100 20100 -- 0.23316 0.27075 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:67:_count_reduce_items (_count_reduce_items)
<built-in method numpy.co...th.normalize_axis_index> -- 25200 25200 -- 0.02360 0.02360 -- ~:0:<built-in method numpy.core._multiarray_umath.normalize_axis_index> (<built-in method numpy.core._multiarray_umath.normalize_axis_index>)
<built-in method builtins.isinstance> -- 15000 15000 -- 0.01399 0.01399 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method numpy.asanyarray> -- 20100 20100 -- 0.01002 0.01002 -- ~:0:<built-in method numpy.asanyarray> (<built-in method numpy.asanyarray>) +++
<method 'reduce' of 'numpy.ufunc' objects> -- 20100 20100 -- 0.35009 0.35009 -- ~:0:<method 'reduce' of 'numpy.ufunc' objects> (<method 'reduce' of 'numpy.ufunc' objects>) +++
<built-in method builtins.hasattr> -- 5100 5100 -- 0.00704 0.00704 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
<built-in method builtins.isinstance> -- 20100 20100 -- 0.01333 0.01333 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method builtins.issubclass> -- 40200 40200 -- 0.02444 0.02444 -- ~:0:<built-in method builtins.issubclass> (<built-in method builtins.issubclass>)
seterr -- 4 4 -- 0.00004 0.00008 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:33:seterr (seterr)
geterr -- 4 4 -- 0.00002 0.00003 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:132:geterr (geterr)
_wrapreduction -- 3 3 -- 0.00003 0.00018 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:69:_wrapreduction (_wrapreduction)
<dictcomp> -- 3 3 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:70:<dictcomp> (<dictcomp>)
<method 'reduce' of 'numpy.ufunc' objects> -- 3 3 -- 0.00015 0.00015 -- ~:0:<method 'reduce' of 'numpy.ufunc' objects> (<method 'reduce' of 'numpy.ufunc' objects>) +++
isspmatrix -- 45202 45202 -- 0.05159 0.09313 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/scipy/sparse/_base.py:1301:isspmatrix (isspmatrix)
<built-in method builtins.isinstance> -- 45202 45202 -- 0.04154 0.04154 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
write -- 7 7 -- 0.00010 0.00265 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx_gallery/gen_rst.py:83:write (write)
verbose -- 6 6 -- 0.00004 0.00253 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:128:verbose (verbose)
log -- 6 6 -- 0.00006 0.00249 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:121:log (log)
log -- 6 6 -- 0.00007 0.00243 -- /usr/local/lib/python3.9/logging/__init__.py:1825:log (log)
log -- 6 6 -- 0.00006 0.00227 -- /usr/local/lib/python3.9/logging/__init__.py:1485:log (log)
_log -- 6 6 -- 0.00004 0.00220 -- /usr/local/lib/python3.9/logging/__init__.py:1553:_log (_log)
findCaller -- 6 6 -- 0.00008 0.00014 -- /usr/local/lib/python3.9/logging/__init__.py:1502:findCaller (findCaller)
<lambda> -- 6 6 -- 0.00002 0.00002 -- /usr/local/lib/python3.9/logging/__init__.py:156:<lambda> (<lambda>)
normcase -- 12 12 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/posixpath.py:52:normcase (normcase)
<built-in met...osix.fspath> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method posix.fspath> (<built-in method posix.fspath>) +++
<built-in metho...ltins.hasattr> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
makeRecord -- 6 6 -- 0.00005 0.00066 -- /usr/local/lib/python3.9/logging/__init__.py:1538:makeRecord (makeRecord)
__init__ -- 6 6 -- 0.00026 0.00061 -- /usr/local/lib/python3.9/logging/__init__.py:278:__init__ (__init__)
getLevelName -- 6 6 -- 0.00004 0.00005 -- /usr/local/lib/python3.9/logging/__init__.py:119:getLevelName (getLevelName)
<method 'ge...' objects> -- 12 12 -- 0.00001 0.00001 -- ~:0:<method 'get' of 'dict' objects> (<method 'get' of 'dict' objects>) +++
current_process -- 6 6 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/multiprocessing/process.py:37:current_process (current_process)
name -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/multiprocessing/process.py:189:name (name)
splitext -- 6 6 -- 0.00003 0.00008 -- /usr/local/lib/python3.9/posixpath.py:117:splitext (splitext)
_splitext -- 6 6 -- 0.00003 0.00005 -- /usr/local/lib/python3.9/genericpath.py:121:_splitext (_splitext)
<method '...objects> -- 12 12 -- 0.00001 0.00001 -- ~:0:<method 'rfind' of 'str' objects> (<method 'rfind' of 'str' objects>) +++
basename -- 6 6 -- 0.00004 0.00007 -- /usr/local/lib/python3.9/posixpath.py:140:basename (basename)
_get_sep -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/posixpath.py:41:_get_sep (_get_sep)
name -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/threading.py:1053:name (name)
current_thread -- 6 6 -- 0.00001 0.00002 -- /usr/local/lib/python3.9/threading.py:1318:current_thread (current_thread)
handle -- 6 6 -- 0.00002 0.00136 -- /usr/local/lib/python3.9/logging/__init__.py:1579:handle (handle)
filter -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/logging/__init__.py:787:filter (filter) +++
callHandlers -- 6 6 -- 0.00006 0.00133 -- /usr/local/lib/python3.9/logging/__init__.py:1633:callHandlers (callHandlers)
handle -- 12 12 -- 0.00006 0.00127 -- /usr/local/lib/python3.9/logging/__init__.py:935:handle (handle)
filter -- 12 12 -- 0.00006 0.00015 -- /usr/local/lib/python3.9/logging/__init__.py:787:filter (filter) +++
acquire -- 12 12 -- 0.00003 0.00005 -- /usr/local/lib/python3.9/logging/__init__.py:892:acquire (acquire) +++
release -- 12 12 -- 0.00001 0.00002 -- /usr/local/lib/python3.9/logging/__init__.py:899:release (release) +++
emit -- 6 6 -- 0.00003 0.00031 -- /usr/local/lib/python3.9/logging/__init__.py:1067:emit (emit) +++
emit -- 6 6 -- 0.00005 0.00069 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:151:emit (emit)
acquire -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/logging/__init__.py:892:acquire (acquire) +++
release -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/logging/__init__.py:899:release (release) +++
emit -- 6 6 -- 0.00004 0.00062 -- /usr/local/lib/python3.9/logging/__init__.py:1067:emit (emit) +++
isEnabledFor -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/logging/__init__.py:1677:isEnabledFor (isEnabledFor) +++
isEnabledFor -- 6 6 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/logging/__init__.py:1834:isEnabledFor (isEnabledFor)
isEnabledFor -- 6 6 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/logging/__init__.py:1677:isEnabledFor (isEnabledFor) +++
process -- 6 6 -- 0.00004 0.00005 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sphinx/util/logging.py:131:process (process)
numpy_to_ort_value -- 10014 10014 -- 0.02081 0.11479 -- onnxruntime_helper.py:133:numpy_to_ort_value (numpy_to_ort_value)
<built-in method onnxruntim...state.ortvalue_from_numpy> -- 10014 10014 -- 0.09399 0.09399 -- ~:0:<built-in method onnxruntime.capi.onnxruntime_pybind11_state.ortvalue_from_numpy> (<built-in method onnxruntime.capi.onnxruntime_pybind11_state.ortvalue_from_numpy>) +++
get_config -- 6 6 -- 0.00002 0.00004 -- sklearn/_config.py:30:get_config (get_config)
_get_threadlocal_config -- 6 6 -- 0.00001 0.00001 -- sklearn/_config.py:22:_get_threadlocal_config (_get_threadlocal_config)
_safe_indexing -- 5100 5100 -- 0.04036 0.27897 -- sklearn/utils/__init__.py:285:_safe_indexing (_safe_indexing)
_array_indexing -- 5100 5100 -- 0.12826 0.13791 -- sklearn/utils/__init__.py:179:_array_indexing (_array_indexing)
isspmatrix -- 5100 5100 -- 0.00413 0.00766 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/scipy/sparse/_base.py:1301:isspmatrix (isspmatrix) +++
<built-in method builtins.isinstance> -- 5100 5100 -- 0.00199 0.00199 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
_determine_key_type -- 5100 5100 -- 0.07020 0.09128 -- sklearn/utils/__init__.py:215:_determine_key_type (_determine_key_type)
<method 'keys' of 'dict' objects> -- 5100 5100 -- 0.00461 0.00461 -- ~:0:<method 'keys' of 'dict' objects> (<method 'keys' of 'dict' objects>)
<built-in method builtins.hasattr> -- 5100 5100 -- 0.00301 0.00301 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
<built-in method builtins.isinstance> -- 15300 15300 -- 0.01346 0.01346 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method builtins.hasattr> -- 10200 10200 -- 0.00942 0.00942 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
__getattr__ -- 6 6 -- 0.00001 0.00001 -- sklearn/utils/_array_api.py:63:__getattr__ (__getattr__)
asarray -- 4 4 -- 0.00001 0.00001 -- sklearn/utils/_array_api.py:70:asarray (asarray)
get_namespace -- 4 4 -- 0.00001 0.00005 -- sklearn/utils/_array_api.py:90:get_namespace (get_namespace)
get_config -- 4 4 -- 0.00002 0.00003 -- sklearn/_config.py:30:get_config (get_config) +++
validate_parameter_constraints -- 1 3 -- 0.00020 0.00202 -- sklearn/utils/_param_validation.py:28:validate_parameter_constraints (validate_parameter_constraints)
<listcomp> -- 23 31 -- 0.00006 0.00129 -- sklearn/utils/_param_validation.py:74:<listcomp> (<listcomp>)
make_constraint -- 26 42 -- 0.00014 0.00125 -- sklearn/utils/_param_validation.py:103:make_constraint (make_constraint)
__init__ -- 5 5 -- 0.00001 0.00001 -- sklearn/utils/_param_validation.py:226:__init__ (__init__) +++
__init__ -- 10 10 -- 0.00003 0.00004 -- sklearn/utils/_param_validation.py:258:__init__ (__init__) +++
__init__ -- 1 1 -- 0.00002 0.00050 -- sklearn/utils/_param_validation.py:505:__init__ (__init__)
wrapper -- 1 1 -- 0.00003 0.00047 -- sklearn/utils/_param_validation.py:169:wrapper (wrapper) +++
__init__ -- 2 2 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:226:__init__ (__init__) +++
__init__ -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:258:__init__ (__init__) +++
__init__ -- 4 4 -- 0.00005 0.00009 -- sklearn/utils/_param_validation.py:530:__init__ (__init__)
__init__ -- 4 4 -- 0.00001 0.00001 -- sklearn/utils/_param_validation.py:226:__init__ (__init__) +++
__init__ -- 12 12 -- 0.00003 0.00004 -- sklearn/utils/_param_validation.py:258:__init__ (__init__) +++
__init__ -- 1 1 -- 0.00002 0.00043 -- sklearn/utils/_param_validation.py:563:__init__ (__init__)
wrapper -- 1 1 -- 0.00002 0.00041 -- sklearn/utils/_param_validation.py:169:wrapper (wrapper) +++
__init__ -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:226:__init__ (__init__) +++
__init__ -- 2 2 -- 0.00001 0.00001 -- sklearn/utils/_param_validation.py:258:__init__ (__init__) +++
<built-in method builtins.isinstance> -- 192 192 -- 0.00012 0.00017 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
is_satisfied_by -- 7 7 -- 0.00001 0.00004 -- sklearn/utils/_param_validation.py:262:is_satisfied_by (is_satisfied_by) +++
is_satisfied_by -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:272:is_satisfied_by (is_satisfied_by) +++
is_satisfied_by -- 6 6 -- 0.00001 0.00001 -- sklearn/utils/_param_validation.py:328:is_satisfied_by (is_satisfied_by)
is_satisfied_by -- 13 13 -- 0.00003 0.00043 -- sklearn/utils/_param_validation.py:450:is_satisfied_by (is_satisfied_by) +++
is_satisfied_by -- 1 1 -- 0.00000 0.00002 -- sklearn/utils/_param_validation.py:471:is_satisfied_by (is_satisfied_by)
_is_arraylike_not_scalar -- 1 1 -- 0.00001 0.00002 -- sklearn/utils/validation.py:262:_is_arraylike_not_scalar (_is_arraylike_not_scalar)
isscalar -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/numeric.py:1878:isscalar (isscalar)
_is_arraylike -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/validation.py:257:_is_arraylike (_is_arraylike)
is_satisfied_by -- 1 1 -- 0.00001 0.00002 -- sklearn/utils/_param_validation.py:513:is_satisfied_by (is_satisfied_by)
<genexpr> -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:514:<genexpr> (<genexpr>) +++
is_satisfied_by -- 4 4 -- 0.00003 0.00007 -- sklearn/utils/_param_validation.py:538:is_satisfied_by (is_satisfied_by)
<genexpr> -- 4 4 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:547:<genexpr> (<genexpr>) +++
is_satisfied_by -- 1 1 -- 0.00001 0.00003 -- sklearn/utils/_param_validation.py:571:is_satisfied_by (is_satisfied_by)
<genexpr> -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:572:<genexpr> (<genexpr>) +++
wrapper -- 2 2 -- 0.00006 0.00088 -- sklearn/utils/_param_validation.py:169:wrapper (wrapper)
apply_defaults -- 2 2 -- 0.00003 0.00004 -- /usr/local/lib/python3.9/inspect.py:2718:apply_defaults (apply_defaults)
parameters -- 2 2 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2882:parameters (parameters) +++
parameters -- 2 2 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2882:parameters (parameters) +++
bind -- 2 2 -- 0.00001 0.00013 -- /usr/local/lib/python3.9/inspect.py:3057:bind (bind)
_bind -- 2 2 -- 0.00009 0.00012 -- /usr/local/lib/python3.9/inspect.py:2926:_bind (_bind)
name -- 20 20 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2565:name (name) +++
kind -- 26 26 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/inspect.py:2577:kind (kind) +++
__init__ -- 2 2 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2657:__init__ (__init__)
parameters -- 2 2 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2882:parameters (parameters) +++
<built-in method builtins.next> -- 20 20 -- 0.00001 0.00001 -- ~:0:<built-in method builtins.next> (<built-in method builtins.next>) +++
signature -- 2 2 -- 0.00001 0.00034 -- /usr/local/lib/python3.9/inspect.py:3128:signature (signature) +++
validate_parameter_constraints -- 2 2 -- 0.00005 0.00025 -- sklearn/utils/_param_validation.py:28:validate_parameter_constraints (validate_parameter_constraints) +++
<listcomp> -- 2 2 -- 0.00002 0.00002 -- sklearn/utils/_param_validation.py:179:<listcomp> (<listcomp>)
kind -- 10 10 -- 0.00000 0.00000 -- /usr/local/lib/python3.9/inspect.py:2577:kind (kind) +++
<dictcomp> -- 2 2 -- 0.00001 0.00001 -- sklearn/utils/_param_validation.py:185:<dictcomp> (<dictcomp>)
__init__ -- 2 2 -- 0.00001 0.00004 -- sklearn/utils/_param_validation.py:395:__init__ (__init__)
__init__ -- 2 2 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:226:__init__ (__init__) +++
_check_params -- 2 2 -- 0.00001 0.00003 -- sklearn/utils/_param_validation.py:412:_check_params (_check_params)
__init__ -- 39 39 -- 0.00004 0.00004 -- sklearn/utils/_param_validation.py:226:__init__ (__init__)
__init__ -- 25 25 -- 0.00007 0.00010 -- sklearn/utils/_param_validation.py:258:__init__ (__init__)
__init__ -- 25 25 -- 0.00003 0.00003 -- sklearn/utils/_param_validation.py:226:__init__ (__init__) +++
is_satisfied_by -- 12 12 -- 0.00001 0.00005 -- sklearn/utils/_param_validation.py:262:is_satisfied_by (is_satisfied_by)
<built-in method builtins.isinstance> -- 12 12 -- 0.00001 0.00004 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
is_satisfied_by -- 2 2 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:272:is_satisfied_by (is_satisfied_by)
is_satisfied_by -- 15 15 -- 0.00003 0.00046 -- sklearn/utils/_param_validation.py:450:is_satisfied_by (is_satisfied_by)
__contains__ -- 14 14 -- 0.00029 0.00031 -- sklearn/utils/_param_validation.py:434:__contains__ (__contains__)
<built-in method _operator.lt> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method _operator.lt> (<built-in method _operator.lt>)
<built-in method _operator.ge> -- 13 13 -- 0.00001 0.00001 -- ~:0:<built-in method _operator.ge> (<built-in method _operator.ge>)
<built-in method builtins.isinstance> -- 15 15 -- 0.00003 0.00012 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<genexpr> -- 4 4 -- 0.00001 0.00001 -- sklearn/utils/_param_validation.py:514:<genexpr> (<genexpr>)
is_satisfied_by -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:262:is_satisfied_by (is_satisfied_by) +++
is_satisfied_by -- 1 1 -- 0.00000 0.00000 -- sklearn/utils/_param_validation.py:272:is_satisfied_by (is_satisfied_by) +++
is_satisfied_by -- 1 1 -- 0.00000 0.00001 -- sklearn/utils/_param_validation.py:450:is_satisfied_by (is_satisfied_by) +++
<genexpr> -- 8 8 -- 0.00001 0.00002 -- sklearn/utils/_param_validation.py:547:<genexpr> (<genexpr>)
is_satisfied_by -- 4 4 -- 0.00000 0.00001 -- sklearn/utils/_param_validation.py:262:is_satisfied_by (is_satisfied_by) +++
<genexpr> -- 2 2 -- 0.00000 0.00003 -- sklearn/utils/_param_validation.py:572:<genexpr> (<genexpr>)
is_satisfied_by -- 1 1 -- 0.00000 0.00002 -- sklearn/utils/_param_validation.py:450:is_satisfied_by (is_satisfied_by) +++
safe_sparse_dot -- 40000 40000 -- 1.15888 1.24411 -- sklearn/utils/extmath.py:156:safe_sparse_dot (safe_sparse_dot)
isspmatrix -- 40000 40000 -- 0.04734 0.08524 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/scipy/sparse/_base.py:1301:isspmatrix (isspmatrix) +++
_num_samples -- 104 104 -- 0.00226 0.00394 -- sklearn/utils/validation.py:320:_num_samples (_num_samples)
<built-in method builtins.hasattr> -- 312 312 -- 0.00036 0.00036 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>) +++
<built-in method builtins.isinstance> -- 104 104 -- 0.00022 0.00128 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method builtins.len> -- 104 104 -- 0.00005 0.00005 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
check_consistent_length -- 101 101 -- 0.00092 0.01403 -- sklearn/utils/validation.py:383:check_consistent_length (check_consistent_length)
unique -- 101 101 -- 0.00052 0.00889 -- <__array_function__ internals>:177:unique (unique)
_unique_dispatcher -- 101 101 -- 0.00007 0.00007 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/lib/arraysetops.py:133:_unique_dispatcher (_unique_dispatcher)
<built-in method numpy.co...mplement_array_function> -- 101 101 -- 0.00067 0.00830 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>) +++
<listcomp> -- 101 101 -- 0.00029 0.00417 -- sklearn/utils/validation.py:394:<listcomp> (<listcomp>)
_num_samples -- 102 102 -- 0.00223 0.00388 -- sklearn/utils/validation.py:320:_num_samples (_num_samples) +++
<built-in method builtins.len> -- 101 101 -- 0.00005 0.00005 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
check_array -- 2 2 -- 0.00009 0.00076 -- sklearn/utils/validation.py:629:check_array (check_array)
simplefilter -- 2 2 -- 0.00001 0.00005 -- /usr/local/lib/python3.9/warnings.py:165:simplefilter (simplefilter)
_add_filter -- 2 2 -- 0.00003 0.00004 -- /usr/local/lib/python3.9/warnings.py:181:_add_filter (_add_filter)
__init__ -- 2 2 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/warnings.py:437:__init__ (__init__)
__enter__ -- 2 2 -- 0.00002 0.00003 -- /usr/local/lib/python3.9/warnings.py:458:__enter__ (__enter__)
__exit__ -- 2 2 -- 0.00001 0.00001 -- /usr/local/lib/python3.9/warnings.py:477:__exit__ (__exit__)
isspmatrix -- 2 2 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/scipy/sparse/_base.py:1301:isspmatrix (isspmatrix) +++
get_namespace -- 2 2 -- 0.00001 0.00003 -- sklearn/utils/_array_api.py:90:get_namespace (get_namespace) +++
_asarray_with_order -- 2 2 -- 0.00002 0.00004 -- sklearn/utils/_array_api.py:168:_asarray_with_order (_asarray_with_order)
__getattr__ -- 2 2 -- 0.00000 0.00000 -- sklearn/utils/_array_api.py:63:__getattr__ (__getattr__) +++
asarray -- 2 2 -- 0.00000 0.00001 -- sklearn/utils/_array_api.py:70:asarray (asarray) +++
_assert_all_finite -- 2 2 -- 0.00010 0.00041 -- sklearn/utils/validation.py:96:_assert_all_finite (_assert_all_finite)
sum -- 2 2 -- 0.00001 0.00017 -- <__array_function__ internals>:177:sum (sum)
_sum_dispatcher -- 2 2 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2183:_sum_dispatcher (_sum_dispatcher)
<built-in method numpy....lement_array_function> -- 2 2 -- 0.00001 0.00016 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>) +++
__init__ -- 2 2 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:426:__init__ (__init__)
__enter__ -- 2 2 -- 0.00001 0.00006 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:430:__enter__ (__enter__)
seterr -- 2 2 -- 0.00002 0.00005 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:33:seterr (seterr) +++
__exit__ -- 2 2 -- 0.00001 0.00004 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:435:__exit__ (__exit__)
seterr -- 2 2 -- 0.00001 0.00003 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:33:seterr (seterr) +++
get_config -- 2 2 -- 0.00000 0.00001 -- sklearn/_config.py:30:get_config (get_config) +++
__getattr__ -- 4 4 -- 0.00000 0.00001 -- sklearn/utils/_array_api.py:63:__getattr__ (__getattr__) +++
asarray -- 2 2 -- 0.00000 0.00000 -- sklearn/utils/_array_api.py:70:asarray (asarray) +++
get_namespace -- 2 2 -- 0.00001 0.00002 -- sklearn/utils/_array_api.py:90:get_namespace (get_namespace) +++
_num_samples -- 2 2 -- 0.00003 0.00006 -- sklearn/utils/validation.py:320:_num_samples (_num_samples) +++
_ensure_no_complex_data -- 2 2 -- 0.00001 0.00001 -- sklearn/utils/validation.py:571:_ensure_no_complex_data (_ensure_no_complex_data)
_check_estimator_name -- 2 2 -- 0.00000 0.00001 -- sklearn/utils/validation.py:581:_check_estimator_name (_check_estimator_name)
check_random_state -- 101 101 -- 0.00057 0.00180 -- sklearn/utils/validation.py:1197:check_random_state (check_random_state)
<built-in method builtins.isinstance> -- 200 200 -- 0.00044 0.00122 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<built-in method builtins.len> -- 50958 50958 -- 0.06205 0.08021 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>)
__len__ -- 10200 10200 -- 0.01816 0.01816 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/data_loader.py:94:__len__ (__len__)
<method 'astype' of 'numpy.ndarray' objects> -- 18 18 -- 0.00014 0.00014 -- ~:0:<method 'astype' of 'numpy.ndarray' objects> (<method 'astype' of 'numpy.ndarray' objects>)
<method 'append' of 'list' objects> -- 10297 10297 -- 0.01289 0.01289 -- ~:0:<method 'append' of 'list' objects> (<method 'append' of 'list' objects>)
<built-in method builtins.hasattr> -- 91012 91012 -- 0.06273 0.06273 -- ~:0:<built-in method builtins.hasattr> (<built-in method builtins.hasattr>)
<built-in method builtins.isinstance> -- 281693 281693 -- 0.17309 0.17553 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>)
__instancecheck__ -- 370 370 -- 0.00039 0.00244 -- /usr/local/lib/python3.9/abc.py:96:__instancecheck__ (__instancecheck__)
<built-in method _abc._abc_instancecheck> -- 370 370 -- 0.00146 0.00204 -- ~:0:<built-in method _abc._abc_instancecheck> (<built-in method _abc._abc_instancecheck>)
__subclasscheck__ -- 121 121 -- 0.00015 0.00058 -- /usr/local/lib/python3.9/abc.py:100:__subclasscheck__ (__subclasscheck__)
<built-in method _abc._abc_subclasscheck> -- 121 121 -- 0.00043 0.00043 -- ~:0:<built-in method _abc._abc_subclasscheck> (<built-in method _abc._abc_subclasscheck>)
<built-in method numpy.array> -- 101 101 -- 0.00621 0.00621 -- ~:0:<built-in method numpy.array> (<built-in method numpy.array>)
<built-in method builtins.all> -- 10005 10005 -- 0.03362 0.06657 -- ~:0:<built-in method builtins.all> (<built-in method builtins.all>)
<lambda> -- 40000 40000 -- 0.02392 0.03272 -- onnxcustom/onnxcustom_UT_39_std/_doc/sphinxdoc/source/onnxcustom/training/ortgradient.py:612:<lambda> (<lambda>)
<built-in method builtins.isinstance> -- 40000 40000 -- 0.00880 0.00880 -- ~:0:<built-in method builtins.isinstance> (<built-in method builtins.isinstance>) +++
<genexpr> -- 7 7 -- 0.00009 0.00022 -- sklearn/neural_network/_multilayer_perceptron.py:485:<genexpr> (<genexpr>)
<method 'all' of 'numpy.ndarray' objects> -- 6 6 -- 0.00002 0.00013 -- ~:0:<method 'all' of 'numpy.ndarray' objects> (<method 'all' of 'numpy.ndarray' objects>)
_all -- 6 6 -- 0.00001 0.00011 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:61:_all (_all)
<method 'reduce' of 'numpy.ufunc' objects> -- 6 6 -- 0.00010 0.00010 -- ~:0:<method 'reduce' of 'numpy.ufunc' objects> (<method 'reduce' of 'numpy.ufunc' objects>) +++
<built-in method builtins.getattr> -- 15181 15181 -- 0.01298 0.01298 -- ~:0:<built-in method builtins.getattr> (<built-in method builtins.getattr>)
<method 'mean' of 'numpy.ndarray' objects> -- 5100 5100 -- 0.02107 0.41299 -- ~:0:<method 'mean' of 'numpy.ndarray' objects> (<method 'mean' of 'numpy.ndarray' objects>)
_mean -- 5100 5100 -- 0.18268 0.39192 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:164:_mean (_mean) +++
<built-in method numpy.empty> -- 107 107 -- 0.00050 0.00050 -- ~:0:<built-in method numpy.empty> (<built-in method numpy.empty>)
<built-in method numpy.arange> -- 101 101 -- 0.00138 0.00138 -- ~:0:<built-in method numpy.arange> (<built-in method numpy.arange>)
<built-in method numpy.core._...th.implement_array_function> -- 30111 30125 -- 0.20088 1.70307 -- ~:0:<built-in method numpy.core._multiarray_umath.implement_array_function> (<built-in method numpy.core._multiarray_umath.implement_array_function>)
clip -- 1 1 -- 0.00001 0.00016 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2111:clip (clip)
_wrapfunc -- 1 1 -- 0.00001 0.00015 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:51:_wrapfunc (_wrapfunc)
_wrapit -- 1 1 -- 0.00002 0.00014 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:38:_wrapit (_wrapit)
<method 'clip' of 'numpy.ndarray' objects> -- 1 1 -- 0.00001 0.00012 -- ~:0:<method 'clip' of 'numpy.ndarray' objects> (<method 'clip' of 'numpy.ndarray' objects>)
_clip -- 1 1 -- 0.00001 0.00011 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:127:_clip (_clip)
_clip_dep_is_scalar_nan -- 2 2 -- 0.00004 0.00008 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:93:_clip_dep_is_scalar_nan (_clip_dep_is_scalar_nan)
ndim -- 2 2 -- 0.00001 0.00004 -- <__array_function__ internals>:177:ndim (ndim)
_ndim_dispatcher -- 2 2 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3148:_ndim_dispatcher (_ndim_dispatcher)
_clip_dep_is_byte_swapped -- 2 2 -- 0.00000 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:103:_clip_dep_is_byte_swapped (_clip_dep_is_byte_swapped)
_clip_dep_invoke_with_casting -- 1 1 -- 0.00001 0.00001 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:108:_clip_dep_invoke_with_casting (_clip_dep_invoke_with_casting)
sum -- 2 2 -- 0.00001 0.00015 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2188:sum (sum)
_wrapreduction -- 2 2 -- 0.00002 0.00013 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:69:_wrapreduction (_wrapreduction) +++
any -- 1 1 -- 0.00001 0.00006 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2333:any (any)
_wrapreduction -- 1 1 -- 0.00001 0.00005 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:69:_wrapreduction (_wrapreduction) +++
ndim -- 2 2 -- 0.00002 0.00002 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3152:ndim (ndim)
mean -- 15000 15000 -- 0.10279 1.49407 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3345:mean (mean)
_mean -- 15000 15000 -- 0.52293 1.39128 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_methods.py:164:_mean (_mean) +++
zeros_like -- 6 6 -- 0.00005 0.00021 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/numeric.py:77:zeros_like (zeros_like)
empty_like -- 6 6 -- 0.00003 0.00007 -- <__array_function__ internals>:177:empty_like (empty_like)
empty_like -- 6 6 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/multiarray.py:84:empty_like (empty_like)
copyto -- 6 6 -- 0.00003 0.00007 -- <__array_function__ internals>:177:copyto (copyto)
copyto -- 6 6 -- 0.00000 0.00000 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/multiarray.py:1079:copyto (copyto)
unique -- 101 101 -- 0.00083 0.00763 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/lib/arraysetops.py:138:unique (unique)
_unpack_tuple -- 101 101 -- 0.00020 0.00025 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/lib/arraysetops.py:125:_unpack_tuple (_unpack_tuple)
<built-in method builtins.len> -- 101 101 -- 0.00005 0.00005 -- ~:0:<built-in method builtins.len> (<built-in method builtins.len>) +++
_unique1d -- 101 101 -- 0.00443 0.00576 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/lib/arraysetops.py:323:_unique1d (_unique1d)
<method 'flatten' of 'numpy.ndarray' objects> -- 101 101 -- 0.00066 0.00066 -- ~:0:<method 'flatten' of 'numpy.ndarray' objects> (<method 'flatten' of 'numpy.ndarray' objects>)
<method 'sort' of 'numpy.ndarray' objects> -- 101 101 -- 0.00016 0.00016 -- ~:0:<method 'sort' of 'numpy.ndarray' objects> (<method 'sort' of 'numpy.ndarray' objects>)
<built-in method numpy.asanyarray> -- 101 101 -- 0.00003 0.00003 -- ~:0:<built-in method numpy.asanyarray> (<built-in method numpy.asanyarray>) +++
<built-in method numpy.empty> -- 101 101 -- 0.00049 0.00049 -- ~:0:<built-in method numpy.empty> (<built-in method numpy.empty>) +++
<built-in method numpy.asanyarray> -- 101 101 -- 0.00079 0.00079 -- ~:0:<built-in method numpy.asanyarray> (<built-in method numpy.asanyarray>) +++
<built-in method onnxruntime....1_state.ortvalue_from_numpy> -- 40014 40014 -- 0.40345 0.40345 -- ~:0:<built-in method onnxruntime.capi.onnxruntime_pybind11_state.ortvalue_from_numpy> (<built-in method onnxruntime.capi.onnxruntime_pybind11_state.ortvalue_from_numpy>)
<built-in method builtins.id> -- 135004 135004 -- 0.08394 0.08394 -- ~:0:<built-in method builtins.id> (<built-in method builtins.id>)
<method 'get' of 'dict' objects> -- 91 91 -- 0.00005 0.00005 -- ~:0:<method 'get' of 'dict' objects> (<method 'get' of 'dict' objects>)
<method 'HasField' of 'google...._message.CMessage' objects> -- 18 18 -- 0.00004 0.00004 -- ~:0:<method 'HasField' of 'google.protobuf.pyext._message.CMessage' objects> (<method 'HasField' of 'google.protobuf.pyext._message.CMessage' objects>)
<built-in method numpy.asarray> -- 15 15 -- 0.00161 0.00161 -- ~:0:<built-in method numpy.asarray> (<built-in method numpy.asarray>)
<built-in method numpy.asanyarray> -- 20302 20302 -- 0.01084 0.01084 -- ~:0:<built-in method numpy.asanyarray> (<built-in method numpy.asanyarray>)
<method 'reduce' of 'numpy.ufunc' objects> -- 20109 20109 -- 0.35034 0.35034 -- ~:0:<method 'reduce' of 'numpy.ufunc' objects> (<method 'reduce' of 'numpy.ufunc' objects>)
<built-in method builtins.next> -- 30020 30020 -- 0.03838 0.15838 -- ~:0:<built-in method builtins.next> (<built-in method builtins.next>)
_no_nep50_warning -- 30000 30000 -- 0.06103 0.11999 -- onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/numpy/core/_ufunc_config.py:452:_no_nep50_warning (_no_nep50_warning)
<method 'set' of 'ContextVar' objects> -- 15000 15000 -- 0.03065 0.03065 -- ~:0:<method 'set' of 'ContextVar' objects> (<method 'set' of 'ContextVar' objects>)
<method 'reset' of 'ContextVar' objects> -- 15000 15000 -- 0.02831 0.02831 -- ~:0:<method 'reset' of 'ContextVar' objects> (<method 'reset' of 'ContextVar' objects>)
<built-in method posix.fspath> -- 24 24 -- 0.00001 0.00001 -- ~:0:<built-in method posix.fspath> (<built-in method posix.fspath>)
<built-in method _thread.get_ident> -- 12 12 -- 0.00001 0.00001 -- ~:0:<built-in method _thread.get_ident> (<built-in method _thread.get_ident>)
<method 'rfind' of 'str' objects> -- 18 18 -- 0.00003 0.00003 -- ~:0:<method 'rfind' of 'str' objects> (<method 'rfind' of 'str' objects>)
if GPU is available#
if get_device().upper() == 'GPU':
train_session = OrtGradientForwardBackwardOptimizer(
onx, device='cuda', learning_rate=1e-5,
warm_start=False, max_iter=max_iter, batch_size=batch_size)
benches.append(benchmark(X_train, y_train, nn,
train_session, name='NN-GPU'))
Linear Regression#
lr = MLPRegressor(hidden_layer_sizes=tuple(), max_iter=max_iter,
solver='sgd', learning_rate_init=5e-2, alpha=0,
n_iter_no_change=max_iter * 3, batch_size=batch_size,
nesterovs_momentum=False, momentum=0,
learning_rate="invscaling")
with warnings.catch_warnings():
warnings.simplefilter('ignore')
lr.fit(X, y)
onx = to_onnx(lr, X_train[:1].astype(numpy.float32), target_opset=15)
train_session = OrtGradientForwardBackwardOptimizer(
onx, device='cpu', learning_rate=5e-4,
warm_start=False, max_iter=max_iter, batch_size=batch_size)
benches.append(benchmark(X_train, y_train, lr, train_session, name='LR-CPU'))
if get_device().upper() == 'GPU':
train_session = OrtGradientForwardBackwardOptimizer(
onx, device='cuda', learning_rate=5e-4,
warm_start=False, max_iter=max_iter, batch_size=batch_size)
benches.append(benchmark(X_train, y_train, nn,
train_session, name='LR-GPU'))
[benchmark] LR-CPU
somewhere/workspace/onnxcustom/onnxcustom_UT_39_std/_venv/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:679: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
warnings.warn(
[benchmark] skl=100 iterations - 2.387998206075281 seconds
[benchmark] ort=100 iteration - 4.822139478987083 seconds
GPU profiling#
if get_device().upper() == 'GPU':
ps = profile(lambda: benchmark(X_train, y_train,
lr, train_session, name='LR-GPU'))[0]
root, nodes = profile2graph(ps, clean_text=clean_name)
text = root.to_text()
print(text)
Graphs#
Dataframe first.
df = DataFrame(benches).set_index('name')
df
text output
print(df)
skl ... losses_ort
name ...
NN-CPU 6.742114 ... [18110.033, 15505.606, 14046.155, 13452.841, 1...
LR-CPU 2.387998 ... [14614.284, 14333.03, 12868.344, 13646.479, 12...
[2 rows x 6 columns]
Graphs.
fig, ax = plt.subplots(1, 2, figsize=(10, 4))
df[['skl', 'ort']].plot.bar(title="Processing time", ax=ax[0])
ax[0].tick_params(axis='x', rotation=30)
for bench in benches:
ax[1].plot(bench['losses_skl'][1:], label='skl-' + bench['name'])
ax[1].plot(bench['losses_ort'][1:], label='ort-' + bench['name'])
ax[1].set_yscale('log')
ax[1].set_title("Losses")
ax[1].legend()
<matplotlib.legend.Legend object at 0x7faf874cbd60>
The gradient update are not exactly the same. It should be improved for a fair comprison.
fig.savefig("plot_orttraining_benchmark_fwbw.png")
# plt.show()
Total running time of the script: ( 0 minutes 51.860 seconds)