experiments/STT-tensorflow
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PiperOrigin-RevId: 311003458
Change-Id: I1a5923edadf3a0101a43dd6dd605c37402b017e4
This commit is contained in:
Kuangyuan Chen 2020-05-11 15:12:42 -07:00 committed by TensorFlower Gardener
parent 7c09d15f9f
commit ce43a59c72
2 changed files with 47 additions and 9 deletions
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43
tensorflow/compiler/mlir/tfrt/saved_model/saved_model.cc
View File

@ -29,11 +29,25 @@ limitations under the License.
#include "tfrt/tensor/dense_host_tensor_view.h"
namespace tensorflow {
namespace {
void MapFunctionGlobalTensorCapturesFromTFSavedModelMLIR(
llvm::StringRef ProcessIndexPath(mlir::ArrayAttr index_path) {
if (index_path.size() == 1 && index_path[0].isa<mlir::StringAttr>()) {
// TODO(chky): Support cases where index_path is not a single string.
return index_path[0].cast<mlir::StringAttr>().getValue();
}
return "";
}
} // namespace
void MapFunctionSignaturesFromTFSavedModelMLIR(
mlir::ModuleOp module,
llvm::function_ref<void(
llvm::StringRef func_name,
llvm::ArrayRef<std::pair<llvm::StringRef, llvm::StringRef>>
input_names_and_devices,
llvm::ArrayRef<llvm::StringRef> output_names,
llvm::ArrayRef<mlir::tf_saved_model::GlobalTensorOp> global_tensors)>
map_fn) {
// Create global_tensors for each functions.
@ -44,17 +58,38 @@ void MapFunctionGlobalTensorCapturesFromTFSavedModelMLIR(
auto func_names = mlir::tf_saved_model::GetExportedNames(func);
if (func_names.empty()) return;
// Here we walk through each arguments and find out the variables used by
// this function.
// Here we walk through each arguments and find out the input/output names,
// and input devices, variables used by this function.
llvm::SmallVector<std::pair<llvm::StringRef, llvm::StringRef>, 4>
input_names_and_devices;
llvm::SmallVector<mlir::tf_saved_model::GlobalTensorOp, 4> global_tensors;
for (unsigned i = 0, e = func.getNumArguments(); i != e; ++i) {
if (auto input_index_path = func.getArgAttrOfType<mlir::ArrayAttr>(
i, "tf_saved_model.index_path")) {
std::pair<llvm::StringRef, llvm::StringRef> name_and_device;
name_and_device.first = ProcessIndexPath(input_index_path);
if (auto input_device =
func.getArgAttrOfType<mlir::StringAttr>(i, "tf.device")) {
name_and_device.second = input_device.getValue();
}
input_names_and_devices.push_back(name_and_device);
}
if (auto variable =
mlir::tf_saved_model::LookupBoundInput(func, i, symbol_table)) {
global_tensors.push_back(variable);
}
}
for (auto func_name : func_names) map_fn(func_name, global_tensors);
llvm::SmallVector<llvm::StringRef, 4> output_names;
for (unsigned i = 0, e = func.getNumResults(); i != e; ++i) {
if (auto output_index_path = func.getResultAttrOfType<mlir::ArrayAttr>(
i, "tf_saved_model.index_path")) {
output_names.push_back(ProcessIndexPath(output_index_path));
}
}
for (auto func_name : func_names)
map_fn(func_name, input_names_and_devices, output_names, global_tensors);
});
}

13
tensorflow/compiler/mlir/tfrt/saved_model/saved_model.h
View File

@ -57,12 +57,15 @@ struct TFRTSavedModelCompileOptions {
std::string force_data_format;
};
// Map captured global tensors for each function.
void MapFunctionGlobalTensorCapturesFromTFSavedModelMLIR(
// Map signatures (eg. input/output names, variables) for each function.
void MapFunctionSignaturesFromTFSavedModelMLIR(
mlir::ModuleOp module,
llvm::function_ref<
void(llvm::StringRef func_name,
llvm::ArrayRef<mlir::tf_saved_model::GlobalTensorOp> captures)>
llvm::function_ref<void(
llvm::StringRef func_name,
llvm::ArrayRef<std::pair<llvm::StringRef, llvm::StringRef>>
input_names_and_devices,
llvm::ArrayRef<llvm::StringRef> output_names,
llvm::ArrayRef<mlir::tf_saved_model::GlobalTensorOp> global_tensors)>
map_fn);
// Compile MLIR in TF saved model dialect into BEF.