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80 lines
2.1 KiB
Plaintext
80 lines
2.1 KiB
Plaintext
import os
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Import('env')
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module_env = env.Clone()
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module_env.pmlpp_build_tests = True
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if ARGUMENTS.get('pmlpp_build_tests', 'yes') == 'no':
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module_env.pmlpp_build_tests = False
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sources = [
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"register_types.cpp",
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"lin_alg/mlpp_vector.cpp",
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"lin_alg/mlpp_matrix.cpp",
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"lin_alg/mlpp_tensor3.cpp",
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"activation/activation.cpp",
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"ann/ann.cpp",
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"auto_encoder/auto_encoder.cpp",
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"bernoulli_nb/bernoulli_nb.cpp",
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"c_log_log_reg/c_log_log_reg.cpp",
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"convolutions/convolutions.cpp",
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"cost/cost.cpp",
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"data/data.cpp",
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"dual_svc/dual_svc.cpp",
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"exp_reg/exp_reg.cpp",
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"gan/gan.cpp",
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"gaussian_nb/gaussian_nb.cpp",
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"gauss_markov_checker/gauss_markov_checker.cpp",
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"hidden_layer/hidden_layer.cpp",
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"hypothesis_testing/hypothesis_testing.cpp",
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"kmeans/kmeans.cpp",
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"knn/knn.cpp",
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"lin_alg/lin_alg.cpp",
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"lin_reg/lin_reg.cpp",
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"log_reg/log_reg.cpp",
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"mann/mann.cpp",
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"mlp/mlp.cpp",
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"multinomial_nb/multinomial_nb.cpp",
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"multi_output_layer/multi_output_layer.cpp",
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"numerical_analysis/numerical_analysis.cpp",
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"outlier_finder/outlier_finder.cpp",
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"output_layer/output_layer.cpp",
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"pca/pca.cpp",
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"probit_reg/probit_reg.cpp",
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"regularization/reg.cpp",
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"softmax_net/softmax_net.cpp",
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"softmax_reg/softmax_reg.cpp",
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"stat/stat.cpp",
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"svc/svc.cpp",
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"tanh_reg/tanh_reg.cpp",
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"transforms/transforms.cpp",
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"uni_lin_reg/uni_lin_reg.cpp",
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"utilities/utilities.cpp",
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"wgan/wgan.cpp",
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]
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if module_env.pmlpp_build_tests:
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module_env.Prepend(CPPDEFINES=["TESTS_ENABLED"])
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sources += [
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"test/mlpp_tests.cpp",
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"test/mlpp_matrix_tests.cpp",
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]
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if ARGUMENTS.get('pmlpp_shared', 'no') == 'yes':
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# Shared lib compilation
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module_env.Append(CCFLAGS=['-fPIC'])
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module_env['LIBS'] = []
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shared_lib = module_env.SharedLibrary(target='#bin/pmlpp', source=sources)
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shared_lib_shim = shared_lib[0].name.rsplit('.', 1)[0]
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env.Append(LIBS=[shared_lib_shim])
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env.Append(LIBPATH=['#bin'])
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else:
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# Static compilation
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module_env.add_source_files(env.modules_sources, sources)
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