Stochastic Variational GP¶
Warning: Need to use GPUs in order for this to work.
import sys
# Add the path to the models
sys.path.insert(0, '/Users/eman/Documents/code_projects/ml4ocean')
sys.path.insert(0, '/home/emmanuel/projects/2019_ocean')
from src.models.utils import MultiTaskGP
from src.models.gpflow_gpu import SVGP, MOSVGP
%load_ext autoreload
%autoreload 2
The autoreload extension is already loaded. To reload it, use: %reload_ext autoreload
import time as time
import numpy as np
import gpflow
from sklearn.datasets import make_regression
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
# Make Fake Dataset
X, y = make_regression(
n_samples=10000,
n_features=10, # Total Features
n_informative=3, # Informative Features
n_targets=10,
bias=10,
noise=0.8,
random_state=123
)
train_size = 3000
# Training and Testing
xtrain, xtest, ytrain, ytest = train_test_split(
X, y, train_size=train_size, random_state=123
)
xtrain.shape, ytrain.shape
((3000, 10), (3000, 10))
import tensorflow as tf
gpflow.__version__
'1.3.0'
tf.__version__
'1.13.1'
tf.train
<module 'tensorflow._api.v1.train' from '/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/_api/v1/train/__init__.py'>
SVGP Algorithm¶
# Test Arguments to Ensure it works
class TestArgs:
num_inducing = 100
iterations = 10
small_iterations = 10
adam_lr = 0.01
gamma = 0.1
minibatch_size = 100
initial_likelihood_var = 0.01
seed = 0
# Better training arguments
class Args:
num_inducing = 100
iterations = 10000
small_iterations = 1000
adam_lr = 0.01
gamma = 0.1
minibatch_size = 1000
initial_likelihood_var = 0.01
# Good practice
gpflow.reset_default_graph_and_session()
# Initialize Model
gp_model = SVGP(
num_inducing=TestArgs.num_inducing,
iterations=TestArgs.iterations,
small_iterations=TestArgs.small_iterations,
adam_lr=TestArgs.adam_lr,
gamma=TestArgs.gamma,
minibatch_size=TestArgs.minibatch_size,
initial_likelihood_var=TestArgs.initial_likelihood_var,
seed=TestArgs.seed
)
# Fit Model to Data
t0 = time.time()
gp_model.fit(xtrain, ytrain)
t1 = time.time() - t0
print(
f"Training Time: {t1:.3} seconds"
)
Training Time: 3.38 seconds
# Predict with test set
t0 = time.time()
ypred, ystd = gp_model.predict(xtest, return_std=True)
t1 = time.time() - t0
# Get Stats
mae = mean_absolute_error(ypred, ytest)
mse = mean_squared_error(ypred, ytest)
rmse = np.sqrt(mse)
r2 = r2_score(ypred, ytest)
print(
f"GP Model:\n"
f"MAE: {mae:.3f}\nMSE: {mse:.3f}\nRMSE: {rmse:.3f}\nR2: {r2:.3f}"
f" \nTime: {t1:.3} seconds"
)
GP Model: MAE: 15.433 MSE: 549.661 RMSE: 23.445 R2: 0.951 Time: 0.248 seconds
MultiOutput¶
# Good practice
gpflow.reset_default_graph_and_session()
# Initialize Model
mogp_model = MOSVGP(
num_inducing=TestArgs.num_inducing,
iterations=TestArgs.iterations,
small_iterations=TestArgs.small_iterations,
adam_lr=TestArgs.adam_lr,
gamma=TestArgs.gamma,
minibatch_size=TestArgs.minibatch_size,
initial_likelihood_var=TestArgs.initial_likelihood_var,
seed=TestArgs.seed
)
# Fit Model to Data
t0 = time.time()
mogp_model.fit(xtrain, ytrain)
t1 = time.time() - t0
print(
f"Training Time: {t1:.3} seconds"
)
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-45642233-434/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-45642233-434/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-45642233-434/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-45642233-434/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SVGP-e0dbec03-470/q_mu/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 90, in __init__
self.build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/models/model.py", line 79, in _build
likelihood = self._build_likelihood() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SVGP-e0dbec03-470/q_mu/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 90, in __init__
self.build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/models/model.py", line 79, in _build
likelihood = self._build_likelihood() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SVGP-e0dbec03-470/q_sqrt/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 90, in __init__
self.build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/models/model.py", line 79, in _build
likelihood = self._build_likelihood() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SVGP-e0dbec03-470/q_sqrt/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 90, in __init__
self.build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/models/model.py", line 79, in _build
likelihood = self._build_likelihood() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-f9e81908-431/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-f9e81908-431/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-ccb70bbc-429/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-ccb70bbc-429/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-acb3180b-427/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-acb3180b-427/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-26262c03-425/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-26262c03-425/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-80f68d98-423/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-80f68d98-423/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-74b9eacd-421/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-74b9eacd-421/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-11d952c0-419/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-11d952c0-419/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-47806db6-417/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-47806db6-417/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-11925c8c-415/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-11925c8c-415/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-d7e62354-413/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'InducingPoints-d7e62354-413/Z/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 117, in <listcomp>
feature_list = [gpflow.features.InducingPoints(Z) for Z in Zs] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'Gaussian-19b0f915-466/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'Gaussian-19b0f915-466/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-7b60f6df-461/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-7b60f6df-461/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-7b60f6df-461/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-7b60f6df-461/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-73d8c657-458/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-73d8c657-458/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-73d8c657-458/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-73d8c657-458/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-d8cf11fb-455/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-d8cf11fb-455/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-d8cf11fb-455/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-d8cf11fb-455/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-1d25334b-452/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-1d25334b-452/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-1d25334b-452/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-1d25334b-452/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-cc63fa57-449/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-cc63fa57-449/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-cc63fa57-449/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-cc63fa57-449/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-073e19f5-446/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-073e19f5-446/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-073e19f5-446/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-073e19f5-446/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-0a302487-443/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-0a302487-443/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-0a302487-443/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-0a302487-443/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-14363597-440/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-14363597-440/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-14363597-440/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-14363597-440/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-2c117ee9-437/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-2c117ee9-437/variance/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-2c117ee9-437/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'SquaredExponential-2c117ee9-437/lengthscales/IsVariableInitialized:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3316, in run_code
return outflag File "<ipython-input-53-d2d7c739ed38>", line 18, in <module>
gp_model.fit(xtrain, ytrain) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 130, in fit
self.model = gpflow.models.SVGP(X, Y, kern, lik, feat=feature, minibatch_size=mb_size) File "/home/emmanuel/projects/2019_ocean/src/models/gpflow_gpu.py", line 123, in <listcomp>
kern_list = [gpflow.kernels.RBF(X.shape[1], lengthscales=float(X.shape[1])**0.5) for _ in range(p_outputs)] File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/compilable.py", line 91, in __init__
self.initialize(force=True) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameterized.py", line 302, in _build
self._prior_tensor = self._build_prior(priors) File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/core/node.py", line 156, in build
self._build() File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/params/parameter.py", line 370, in _build
self._prior_tensor = prior File "/home/emmanuel/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
==================================
--------------------------------------------------------------------------- InvalidArgumentError Traceback (most recent call last) ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in get_attr(self, name) 2408 with c_api_util.tf_buffer() as buf: -> 2409 c_api.TF_OperationGetAttrValueProto(self._c_op, name, buf) 2410 data = c_api.TF_GetBuffer(buf) InvalidArgumentError: Operation 'SVGP-dd93669f-736/conditional/Sum_19' has no attr named '_XlaCompile'. During handling of the above exception, another exception occurred: ValueError Traceback (most recent call last) ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py in _MaybeCompile(scope, op, func, grad_fn) 414 try: --> 415 xla_compile = op.get_attr("_XlaCompile") 416 xla_separate_compiled_gradients = op.get_attr( ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in get_attr(self, name) 2412 # Convert to ValueError for backwards compatibility. -> 2413 raise ValueError(str(e)) 2414 x = attr_value_pb2.AttrValue() ValueError: Operation 'SVGP-dd93669f-736/conditional/Sum_19' has no attr named '_XlaCompile'. During handling of the above exception, another exception occurred: KeyboardInterrupt Traceback (most recent call last) <ipython-input-63-4fa9e5a9f15e> in <module> 16 # Fit Model to Data 17 t0 = time.time() ---> 18 mogp_model.fit(xtrain, ytrain) 19 t1 = time.time() - t0 20 ~/projects/2019_ocean/src/models/gpflow_gpu.py in fit(self, X, Y) 134 self.model.q_sqrt.set_trainable(False) 135 self.ng = gpflow.train.NatGradOptimizer(gamma=self.gamma).make_optimize_tensor(self.model, var_list=var_list) --> 136 self.adam = gpflow.train.AdamOptimizer(self.adam_lr).make_optimize_tensor(self.model) 137 138 self.sess = self.model.enquire_session() ~/.conda/envs/dl_py36/lib/python3.6/site-packages/gpflow/training/tensorflow_optimizer.py in make_optimize_tensor(self, model, session, var_list, **kwargs) 52 # Create optimizer variables before initialization. 53 with session.as_default(): ---> 54 minimize = self.optimizer.minimize(objective, var_list=full_var_list, **kwargs) 55 model.initialize(session=session) 56 self._initialize_optimizer(session) ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py in minimize(self, loss, global_step, var_list, gate_gradients, aggregation_method, colocate_gradients_with_ops, name, grad_loss) 401 aggregation_method=aggregation_method, 402 colocate_gradients_with_ops=colocate_gradients_with_ops, --> 403 grad_loss=grad_loss) 404 405 vars_with_grad = [v for g, v in grads_and_vars if g is not None] ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py in compute_gradients(self, loss, var_list, gate_gradients, aggregation_method, colocate_gradients_with_ops, grad_loss) 510 gate_gradients=(gate_gradients == Optimizer.GATE_OP), 511 aggregation_method=aggregation_method, --> 512 colocate_gradients_with_ops=colocate_gradients_with_ops) 513 if gate_gradients == Optimizer.GATE_GRAPH: 514 grads = control_flow_ops.tuple(grads) ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py in gradients(ys, xs, grad_ys, name, colocate_gradients_with_ops, gate_gradients, aggregation_method, stop_gradients, unconnected_gradients) 662 return _GradientsHelper(ys, xs, grad_ys, name, colocate_gradients_with_ops, 663 gate_gradients, aggregation_method, stop_gradients, --> 664 unconnected_gradients) 665 666 ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py in _GradientsHelper(ys, xs, grad_ys, name, colocate_gradients_with_ops, gate_gradients, aggregation_method, stop_gradients, unconnected_gradients, src_graph) 963 # functions. 964 in_grads = _MaybeCompile(grad_scope, op, func_call, --> 965 lambda: grad_fn(op, *out_grads)) 966 else: 967 # For function call ops, we add a 'SymbolicGradient' ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py in _MaybeCompile(scope, op, func, grad_fn) 418 xla_scope = op.get_attr("_XlaScope").decode() 419 except ValueError: --> 420 return grad_fn() # Exit early 421 422 if not xla_compile: ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py in <lambda>() 963 # functions. 964 in_grads = _MaybeCompile(grad_scope, op, func_call, --> 965 lambda: grad_fn(op, *out_grads)) 966 else: 967 # For function call ops, we add a 'SymbolicGradient' ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py in _SumGrad(op, grad) 79 # sense. 80 with ops.colocate_with(input_shape): ---> 81 output_shape_kept_dims = math_ops.reduced_shape(input_shape, op.inputs[1]) 82 tile_scaling = _safe_shape_div(input_shape, output_shape_kept_dims) 83 grad = array_ops.reshape(grad, output_shape_kept_dims) ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py in reduced_shape(input_shape, axes) 3072 return gen_data_flow_ops.dynamic_stitch( # [2, 1, 1, 7] 3073 [ -> 3074 range(input_rank), # [0, 1, 2, 3] 3075 axes 3076 ], # [1, 2] ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py in range(start, limit, delta, dtype, name) 1197 delta = cast(delta, inferred_dtype) 1198 -> 1199 return gen_math_ops._range(start, limit, delta, name=name) 1200 1201 ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py in _range(start, limit, delta, name) 6744 # Add nodes to the TensorFlow graph. 6745 _, _, _op = _op_def_lib._apply_op_helper( -> 6746 "Range", start=start, limit=limit, delta=delta, name=name) 6747 _result = _op.outputs[:] 6748 _inputs_flat = _op.inputs ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords) 787 input_types=input_types, attrs=attr_protos, 788 op_def=op_def) --> 789 return output_structure, op_def.is_stateful, op 790 791 # pylint: enable=invalid-name ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in __exit__(self, type_arg, value_arg, traceback_arg) 6098 else: 6099 self._name_scope.__exit__(type_arg, value_arg, traceback_arg) -> 6100 self._g_manager.__exit__(type_arg, value_arg, traceback_arg) 6101 return False # False values do not suppress exceptions 6102 ~/.conda/envs/dl_py36/lib/python3.6/contextlib.py in __exit__(self, type, value, traceback) 86 if type is None: 87 try: ---> 88 next(self.gen) 89 except StopIteration: 90 return False ~/.conda/envs/dl_py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in get_controller(self, default) 5251 with super(_DefaultGraphStack, self).get_controller( 5252 default) as g, context.graph_mode(): -> 5253 yield g 5254 finally: 5255 # If an exception is raised here it may be hiding a related exception in KeyboardInterrupt:
# Predict with test set
t0 = time.time()
ypred, ystd = mogp_model.predict(xtest, return_std=True)
t1 = time.time() - t0
# Get Stats
mae = mean_absolute_error(ypred, ytest)
mse = mean_squared_error(ypred, ytest)
rmse = np.sqrt(mse)
r2 = r2_score(ypred, ytest)
print(
f"GP Model:\n"
f"MAE: {mae:.3f}\nMSE: {mse:.3f}\nRMSE: {rmse:.3f}\nR2: {r2:.3f}"
f" \nTime: {t1:.3} seconds"
)