# ddim lib cc_library(ddim SRCS ddim.cc DEPS eigen3) cc_test(ddim_test SRCS ddim_test.cc DEPS ddim) nv_test(dim_test SRCS dim_test.cu DEPS ddim) cc_library(tensor SRCS tensor.cc DEPS ddim place paddle_memory device_context) cc_test(tensor_test SRCS tensor_test.cc DEPS tensor) cc_test(eigen_test SRCS eigen_test.cc DEPS tensor) cc_library(lod_tensor SRCS lod_tensor.cc DEPS ddim place tensor) cc_test(lod_tensor_test SRCS lod_tensor_test.cc DEPS lod_tensor) cc_test(variable_test SRCS variable_test.cc) cc_library(scope SRCS scope.cc) cc_test(scope_test SRCS scope_test.cc DEPS scope) proto_library(framework_proto SRCS framework.proto) cc_library(attribute SRCS attribute.cc DEPS framework_proto) cc_library(operator SRCS operator.cc DEPS framework_proto device_context tensor scope attribute) cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry) cc_library(grad_op_builder SRCS grad_op_builder.cc DEPS operator) cc_library(op_registry SRCS op_registry.cc DEPS grad_op_builder) cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry) cc_test(grad_op_builder_test SRCS grad_op_builder_test.cc DEPS grad_op_builder op_registry add_op) py_proto_compile(framework_py_proto SRCS framework.proto) # 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) add_custom_command(TARGET framework_py_proto POST_BUILD 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/ COMMENT "Copy generated python proto into directory paddle/v2/framework/proto." WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}) cc_library(backward SRCS backward.cc DEPS net_op) cc_test(backward_test SRCS backward_test.cc DEPS backward recurrent_op device_context) if(WITH_PYTHON) cc_library(paddle_pybind SHARED SRCS pybind.cc DEPS pybind python backward sgd_op add_op mul_op rowwise_add_op sigmoid_op softmax_op mean_op cross_entropy_op recurrent_op uniform_random_op gaussian_random_op fill_zeros_like_op identity_op) endif(WITH_PYTHON)