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makefile.lst
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#================================================== -*- makefile -*- vim:ft=make
# Copyright 2014-2017 Intel Corporation
# All Rights Reserved.
#
# If this software was obtained under the Intel Simplified Software License,
# the following terms apply:
#
# The source code, information and material ("Material") contained herein is
# owned by Intel Corporation or its suppliers or licensors, and title to such
# Material remains with Intel Corporation or its suppliers or licensors. The
# Material contains proprietary information of Intel or its suppliers and
# licensors. The Material is protected by worldwide copyright laws and treaty
# provisions. No part of the Material may be used, copied, reproduced,
# modified, published, uploaded, posted, transmitted, distributed or disclosed
# in any way without Intel's prior express written permission. No license under
# any patent, copyright or other intellectual property rights in the Material
# is granted to or conferred upon you, either expressly, by implication,
# inducement, estoppel or otherwise. Any license under such intellectual
# property rights must be express and approved by Intel in writing.
#
# Unless otherwise agreed by Intel in writing, you may not remove or alter this
# notice or any other notice embedded in Materials by Intel or Intel's
# suppliers or licensors in any way.
#
#
# If this software was obtained under the Apache License, Version 2.0 (the
# "License"), the following terms apply:
#
# You may not use this file except in compliance with the License. You may
# obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#
# See the License for the specific language governing permissions and
# limitations under the License.
#===============================================================================
## Content:
## Intel(R) Data Analytics Acceleration Library algorithms list
##******************************************************************************
pca += covariance svd normalization/zscore pca/inner
normalization/zscore += low_order_moments normalization/zscore/inner
naivebayes += classifier
svm += classifier kernel_function
em += covariance
adaboost += boosting weak_learner
weak_learner += stump
neural_networks/initializers += engines engines/mt19937
neural_networks/layers += neural_networks/initializers/uniform
neural_networks/layers/fullyconnected_layer += neural_networks/layers/fullyconnected_layer/backward \
neural_networks/layers/fullyconnected_layer/forward \
neural_networks/layers/loss_layer \
neural_networks/layers
neural_networks/layers/loss_layer/softmax_cross_layer += neural_networks/layers/loss_layer/softmax_cross_layer/backward \
neural_networks/layers/loss_layer/softmax_cross_layer/forward \
neural_networks/layers/loss_layer \
neural_networks/layers \
neural_networks/layers/softmax_layer/forward \
neural_networks/layers/softmax_layer/backward \
neural_networks/layers/softmax_layer
neural_networks += neural_networks/layers objective_function optimization_solver optimization_solver/sgd neural_networks/layers/loss_layer
k_nearest_neighbors += classifier
decision_tree += classifier regression
linear_model += regression
linear_regression += linear_model
ridge_regression += linear_model
CORE.ALGORITHMS.FULL := \
adaboost \
assocrules \
boosting \
brownboost \
cholesky \
classifier \
cordistance \
cosdistance \
covariance \
decision_tree \
distributions \
distributions/bernoulli \
distributions/normal \
distributions/uniform \
dtrees \
dtrees/forest \
dtrees/forest/classification \
dtrees/forest/regression \
dtrees/gbt \
dtrees/gbt/regression \
dtrees/gbt/classification \
dtrees/regression \
engines \
engines/mt19937 \
em \
implicit_als \
kernel_function \
kmeans \
k_nearest_neighbors \
lbfgs \
linear_model \
linear_regression \
logitboost \
low_order_moments \
math/abs \
math/logistic \
math/relu \
math/smoothrelu \
math/softmax \
math/tanh \
multiclassclassifier \
naivebayes \
neural_networks \
neural_networks/initializers \
neural_networks/initializers/uniform \
neural_networks/initializers/xavier \
neural_networks/initializers/gaussian \
neural_networks/initializers/truncated_gaussian \
neural_networks/layers \
neural_networks/layers/abs_layer \
neural_networks/layers/abs_layer/backward \
neural_networks/layers/abs_layer/forward \
neural_networks/layers/batch_normalization_layer \
neural_networks/layers/batch_normalization_layer/backward \
neural_networks/layers/batch_normalization_layer/forward \
neural_networks/layers/concat_layer \
neural_networks/layers/concat_layer/backward \
neural_networks/layers/concat_layer/forward \
neural_networks/layers/convolution2d_layer \
neural_networks/layers/convolution2d_layer/backward \
neural_networks/layers/convolution2d_layer/forward \
neural_networks/layers/dropout_layer \
neural_networks/layers/dropout_layer/backward \
neural_networks/layers/dropout_layer/forward \
neural_networks/layers/eltwise_sum_layer \
neural_networks/layers/eltwise_sum_layer/backward \
neural_networks/layers/eltwise_sum_layer/forward \
neural_networks/layers/fullyconnected_layer \
neural_networks/layers/fullyconnected_layer/backward \
neural_networks/layers/fullyconnected_layer/forward \
neural_networks/layers/lcn_layer \
neural_networks/layers/lcn_layer/backward \
neural_networks/layers/lcn_layer/forward \
neural_networks/layers/locallyconnected2d_layer \
neural_networks/layers/locallyconnected2d_layer/backward \
neural_networks/layers/locallyconnected2d_layer/forward \
neural_networks/layers/logistic_layer \
neural_networks/layers/logistic_layer/backward \
neural_networks/layers/logistic_layer/forward \
neural_networks/layers/reshape_layer \
neural_networks/layers/reshape_layer/backward \
neural_networks/layers/reshape_layer/forward \
neural_networks/layers/lrn_layer \
neural_networks/layers/lrn_layer/backward \
neural_networks/layers/lrn_layer/forward \
neural_networks/layers/pooling1d_layer \
neural_networks/layers/pooling1d_layer/backward \
neural_networks/layers/pooling1d_layer/forward \
neural_networks/layers/pooling2d_layer \
neural_networks/layers/pooling2d_layer/backward \
neural_networks/layers/pooling2d_layer/forward \
neural_networks/layers/pooling3d_layer \
neural_networks/layers/pooling3d_layer/backward \
neural_networks/layers/pooling3d_layer/forward \
neural_networks/layers/spatial_pooling2d_layer \
neural_networks/layers/spatial_pooling2d_layer/backward \
neural_networks/layers/spatial_pooling2d_layer/forward \
neural_networks/layers/prelu_layer \
neural_networks/layers/prelu_layer/backward \
neural_networks/layers/prelu_layer/forward \
neural_networks/layers/relu_layer \
neural_networks/layers/relu_layer/backward \
neural_networks/layers/relu_layer/forward \
neural_networks/layers/smoothrelu_layer \
neural_networks/layers/smoothrelu_layer/backward \
neural_networks/layers/smoothrelu_layer/forward \
neural_networks/layers/loss_layer \
neural_networks/layers/loss_layer/logistic_cross_layer \
neural_networks/layers/loss_layer/logistic_cross_layer/backward \
neural_networks/layers/loss_layer/logistic_cross_layer/forward \
neural_networks/layers/loss_layer/softmax_cross_layer \
neural_networks/layers/loss_layer/softmax_cross_layer/backward \
neural_networks/layers/loss_layer/softmax_cross_layer/forward \
neural_networks/layers/softmax_layer \
neural_networks/layers/softmax_layer/backward \
neural_networks/layers/softmax_layer/forward \
neural_networks/layers/split_layer \
neural_networks/layers/split_layer/backward \
neural_networks/layers/split_layer/forward \
neural_networks/layers/tanh_layer \
neural_networks/layers/tanh_layer/backward \
neural_networks/layers/tanh_layer/forward \
neural_networks/layers/transposed_conv2d_layer \
neural_networks/layers/transposed_conv2d_layer/backward \
neural_networks/layers/transposed_conv2d_layer/forward \
normalization/minmax \
normalization/zscore \
normalization/zscore/inner \
objective_function \
objective_function/mse \
optimization_solver \
optimization_solver/sgd \
optimization_solver/lbfgs \
optimization_solver/adagrad \
outlierdetection_multivariate \
outlierdetection_bacon \
outlierdetection_univariate \
pca \
pca/inner \
pca/metrics \
pca/transform \
pivoted_qr \
qr \
quantiles \
regression \
ridge_regression \
sgd \
sorting \
stump \
svd \
svm \
weak_learner
CORE.ALGORITHMS := $(if $(CORE.ALGORITHMS.CUSTOM), $(CORE.ALGORITHMS.CUSTOM), $(CORE.ALGORITHMS.FULL))
CORE.ALGORITHMS := $(sort $(foreach alg,$(CORE.ALGORITHMS),$(foreach alg1,$($(alg)),$($(alg1)) $(alg1)) $(alg)))
CORE.ALGORITHMS.INC := \
association_rules \
boosting \
cholesky \
classifier \
covariance \
decision_forest \
decision_tree \
distance \
distributions \
engines \
em \
gradient_boosted_trees \
implicit_als \
kernel_function \
kmeans \
k_nearest_neighbors \
linear_model \
linear_regression \
math \
moments \
multi_class_classifier \
naive_bayes \
neural_networks \
neural_networks/initializers \
neural_networks/initializers/gaussian \
neural_networks/initializers/truncated_gaussian \
neural_networks/initializers/uniform \
neural_networks/initializers/xavier \
neural_networks/layers \
neural_networks/layers/abs \
neural_networks/layers/batch_normalization \
neural_networks/layers/concat \
neural_networks/layers/convolution2d \
neural_networks/layers/dropout \
neural_networks/layers/fullyconnected \
neural_networks/layers/lcn \
neural_networks/layers/locallyconnected2d \
neural_networks/layers/logistic \
neural_networks/layers/loss \
neural_networks/layers/lrn \
neural_networks/layers/pooling1d \
neural_networks/layers/pooling2d \
neural_networks/layers/pooling3d \
neural_networks/layers/prelu \
neural_networks/layers/relu \
neural_networks/layers/reshape \
neural_networks/layers/smoothrelu \
neural_networks/layers/softmax \
neural_networks/layers/spatial_pooling2d \
neural_networks/layers/split \
neural_networks/layers/tanh \
neural_networks/layers/transposed_conv2d \
neural_networks/layers/eltwise_sum \
normalization \
optimization_solver \
optimization_solver/adagrad \
optimization_solver/iterative_solver \
optimization_solver/lbfgs \
optimization_solver/objective_function \
optimization_solver/precomputed \
optimization_solver/sgd \
outlier_detection \
pca \
pca/metrics \
pca/transform \
pivoted_qr \
qr \
quantiles \
regression \
ridge_regression \
sorting \
stump \
svd \
svm \
weak_learner
CORE.SERVICES := compression \
data_management
JJ.ALGORITHMS := adaboost \
adaboost/prediction \
adaboost/quality_metric_set \
adaboost/training \
association_rules \
bacon_outlier_detection \
boosting \
boosting/prediction \
boosting/training \
brownboost \
brownboost/prediction \
brownboost/quality_metric_set \
brownboost/training \
cholesky \
classifier \
classifier/prediction \
classifier/quality_metric \
classifier/quality_metric/binary_confusion_matrix \
classifier/quality_metric/multi_class_confusion_matrix \
classifier/training \
cordistance \
cosdistance \
covariance \
decision_forest \
decision_forest/classification \
decision_forest/classification/prediction \
decision_forest/classification/training \
decision_forest/regression \
decision_forest/regression/prediction \
decision_forest/regression/training \
decision_tree \
decision_tree/classification \
decision_tree/classification/prediction \
decision_tree/classification/training \
decision_tree/regression \
decision_tree/regression/prediction \
decision_tree/regression/training \
distributions \
distributions/bernoulli \
distributions/normal \
distributions/uniform \
engines \
engines/mt19937 \
em_gmm \
em_gmm/init \
gbt \
gbt/classification \
gbt/classification/prediction \
gbt/classification/training \
gbt/regression \
gbt/regression/prediction \
gbt/regression/training \
implicit_als \
implicit_als/prediction \
implicit_als/prediction/ratings \
implicit_als/training \
implicit_als/training/init \
kernel_function \
kernel_function/linear \
kernel_function/rbf \
kdtree_knn_classification \
kdtree_knn_classification/prediction \
kdtree_knn_classification/training \
kmeans \
kmeans/init \
linear_regression \
linear_regression/prediction \
linear_regression/quality_metric \
linear_regression/quality_metric_set \
linear_regression/training \
logitboost \
logitboost/prediction \
logitboost/quality_metric_set \
logitboost/training \
low_order_moments \
math/abs \
math/logistic \
math/relu \
math/smoothrelu \
math/softmax \
math/tanh \
multi_class_classifier \
multi_class_classifier/prediction \
multi_class_classifier/quality_metric_set \
multi_class_classifier/training \
multinomial_naive_bayes \
multinomial_naive_bayes/prediction \
multinomial_naive_bayes/quality_metric_set \
multinomial_naive_bayes/training \
multivariate_outlier_detection \
multivariate_outlier_detection/defaultdense \
multivariate_outlier_detection/bacondense \
neural_networks \
neural_networks/initializers \
neural_networks/initializers/uniform \
neural_networks/initializers/xavier \
neural_networks/initializers/gaussian \
neural_networks/initializers/truncated_gaussian \
neural_networks/layers \
neural_networks/layers/abs \
neural_networks/layers/average_pooling1d \
neural_networks/layers/average_pooling2d \
neural_networks/layers/average_pooling3d \
neural_networks/layers/batch_normalization \
neural_networks/layers/concat \
neural_networks/layers/convolution2d \
neural_networks/layers/transposed_conv2d \
neural_networks/layers/dropout \
neural_networks/layers/eltwise_sum \
neural_networks/layers/fullyconnected \
neural_networks/layers/logistic \
neural_networks/layers/loss \
neural_networks/layers/lrn \
neural_networks/layers/maximum_pooling1d \
neural_networks/layers/maximum_pooling2d \
neural_networks/layers/maximum_pooling3d \
neural_networks/layers/reshape \
neural_networks/layers/stochastic_pooling2d \
neural_networks/layers/spatial_pooling2d \
neural_networks/layers/spatial_average_pooling2d \
neural_networks/layers/spatial_maximum_pooling2d \
neural_networks/layers/spatial_stochastic_pooling2d \
neural_networks/layers/pooling1d \
neural_networks/layers/pooling2d \
neural_networks/layers/pooling3d \
neural_networks/layers/prelu \
neural_networks/layers/relu \
neural_networks/layers/logistic_cross \
neural_networks/layers/smoothrelu \
neural_networks/layers/softmax \
neural_networks/layers/softmax_cross \
neural_networks/layers/split \
neural_networks/layers/tanh \
neural_networks/layers/lcn \
neural_networks/layers/locallyconnected2d \
neural_networks/prediction \
neural_networks/training \
normalization/minmax \
normalization/zscore \
optimization_solver \
optimization_solver/objective_function \
optimization_solver/sum_of_functions \
optimization_solver/mse \
optimization_solver/precomputed \
optimization_solver/iterative_solver \
optimization_solver/sgd \
optimization_solver/lbfgs \
optimization_solver/adagrad \
pca \
pca/quality_metric \
pca/quality_metric_set \
pca/transform \
pivoted_qr \
qr \
quality_metric \
quality_metric_set \
quantiles \
ridge_regression \
ridge_regression/prediction \
ridge_regression/training \
regression \
sorting \
stump \
stump/prediction \
stump/training \
svd \
svm \
svm/prediction \
svm/quality_metric_set \
svm/training \
univariate_outlier_detection \
weak_learner \
weak_learner/prediction \
weak_learner/training
JJ.DATA_MANAGEMENT := data \
data_source \
compression \
compression/bzip2 \
compression/lzo \
compression/rle \
compression/zlib
JJ.SERVICES := libraryversioninfo