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ci/official/utilities/get_versions.sh
# where fields are strings separated by whitespace. export TF_VER_MAJOR=$(awk '/#define TF_MAJOR_VERSION/ {print $3}' tensorflow/core/public/version.h) export TF_VER_MINOR=$(awk '/#define TF_MINOR_VERSION/ {print $3}' tensorflow/core/public/version.h) export TF_VER_PATCH=$(awk '/#define TF_PATCH_VERSION/ {print $3}' tensorflow/core/public/version.h)
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code
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tensorflow/c/eager/unified_api_testutil.h
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_ #define TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_ #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/c_api_test_util.h"
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tensorflow/c/c_api_test.cc
} // REGISTER_OP for CApiAttributesTest test cases. // Registers two ops, each with a single attribute called 'v'. // The attribute in one op will have a type 'type', the other // will have list(type). #define ATTR_TEST_REGISTER_OP(type) \ REGISTER_OP("CApiAttributesTestOp" #type) \ .Attr("v: " #type) \
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Use lld as the linker build --linkopt="-fuse-ld=lld" build --linkopt="-lm" build --linkopt="-Wl,--undefined-version"
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tensorflow/c/eager/graph_function.h
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_ #define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_ #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/platform/refcount.h" namespace tensorflow {
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tensorflow/c/eager/immediate_execution_distributed_manager.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_ #include <cstdint> #include <string> #include "tensorflow/core/platform/status.h" namespace tsl { class CoordinationServiceAgent; }
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tensorflow/c/c_api.cc
} \ } DEFINE_GETATTR(TF_OperationGetAttrInt, int64_t, int64_t, i); DEFINE_GETATTR(TF_OperationGetAttrFloat, float, float, f); DEFINE_GETATTR(TF_OperationGetAttrBool, unsigned char, bool, b); DEFINE_GETATTR(TF_OperationGetAttrType, TF_DataType, DataType, type); #undef DEFINE_GETATTR void TF_OperationGetAttrShape(TF_Operation* oper, const char* attr_name,
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tensorflow/c/eager/c_api_experimental.h
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_C_API_EXPERIMENTAL_H_ #define TENSORFLOW_C_EAGER_C_API_EXPERIMENTAL_H_ #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_macros.h" #include "tensorflow/c/eager/c_api.h" #ifdef __cplusplus extern "C" { #endif
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tensorflow/c/eager/gradients.cc
forward_op_->outputs.push_back(retvals[i]); } // TODO(b/166669239): This is needed to support AttrBuilder::Get for string // attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_->attrs.BuildNodeDef(); std::unique_ptr<GradientFunction> gradient_fn;
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