CMakeLists.txt 2.2 KB
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# ddim lib
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cc_library(ddim SRCS ddim.cc DEPS eigen3)
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cc_test(ddim_test SRCS ddim_test.cc DEPS ddim)
nv_test(dim_test SRCS dim_test.cu DEPS ddim)
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cc_library(tensor SRCS tensor.cc DEPS ddim place paddle_memory device_context)
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cc_test(tensor_test SRCS tensor_test.cc DEPS tensor)
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cc_test(eigen_test SRCS eigen_test.cc DEPS tensor)
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cc_library(lod_tensor SRCS lod_tensor.cc DEPS ddim place tensor)
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cc_test(lod_tensor_test SRCS lod_tensor_test.cc DEPS lod_tensor)

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cc_test(variable_test SRCS variable_test.cc)
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cc_library(scope SRCS scope.cc)
cc_test(scope_test SRCS scope_test.cc DEPS scope)
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proto_library(framework_proto SRCS framework.proto)
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cc_library(attribute SRCS attribute.cc DEPS framework_proto)
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cc_library(operator SRCS operator.cc DEPS framework_proto device_context tensor scope attribute)
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cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry)
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cc_library(grad_op_builder SRCS grad_op_builder.cc DEPS operator)
cc_library(op_registry SRCS op_registry.cc DEPS grad_op_builder)
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cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry)
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cc_test(grad_op_builder_test SRCS grad_op_builder_test.cc DEPS grad_op_builder op_registry add_op)
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py_proto_compile(framework_py_proto SRCS framework.proto)
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# Generate an empty __init__.py to make framework_py_proto as a valid python module.
add_custom_target(framework_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)
add_dependencies(framework_py_proto framework_py_proto_init)
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add_custom_command(TARGET framework_py_proto POST_BUILD
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    COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/proto
    COMMAND cp *.py ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/proto/
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    COMMENT "Copy generated python proto into directory paddle/v2/framework/proto."
    WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
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cc_library(backward SRCS backward.cc DEPS net_op)
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cc_test(backward_test SRCS backward_test.cc DEPS backward)
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if(WITH_PYTHON)
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cc_library(paddle_pybind SHARED
    SRCS pybind.cc
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    DEPS pybind python backward
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    sgd_op
    add_op
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    mul_op
    rowwise_add_op
    sigmoid_op
    softmax_op
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    mean_op
    cross_entropy_op
    recurrent_op
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    uniform_random_op
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    gaussian_random_op
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    fill_zeros_like_op)
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endif(WITH_PYTHON)