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tensorflow/c/c_api_test.cc
TF_Input three_port; EXPECT_EQ(1, TF_OperationOutputConsumers(TF_Output{three, 0}, &three_port, 1)); EXPECT_EQ(add, three_port.oper); EXPECT_EQ(1, three_port.index); // Serialize to GraphDef. GraphDef graph_def; ASSERT_TRUE(GetGraphDef(graph, &graph_def)); // Validate GraphDef is what we expect. bool found_placeholder = false;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
.bazelrc
build:mkl --define=build_with_mkl=true --define=enable_mkl=true build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt # config to build OneDNN backend with a user specified threadpool. build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
tensorflow/BUILD
"dynamic_loaded_kernels": "true", "framework_shared_object": "true", }, visibility = ["//visibility:public"], ) config_setting( name = "using_rocm_hipcc", define_values = {"using_rocm_hipcc": "true"}, ) config_setting( name = "override_eigen_strong_inline", define_values = {"override_eigen_strong_inline": "true"}, visibility = ["//visibility:public"], )
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configure.py
else: question += ' [y/N]: ' var = environ_cp.get(var_name) if var is not None: var_content = var.strip().lower() true_strings = ('1', 't', 'true', 'y', 'yes') false_strings = ('0', 'f', 'false', 'n', 'no') if var_content in true_strings: var = True elif var_content in false_strings: var = False else: raise UserInputError(
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1)