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Results 1 - 10 of 29 for TfLite (0.29 sec)
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tensorflow/compiler/mlir/lite/flatbuffer_export.cc
} else { return tflite::TensorType_INT4; } case 8: return itype.isUnsigned() ? tflite::TensorType_UINT8 : tflite::TensorType_INT8; case 16: return itype.isUnsigned() ? tflite::TensorType_UINT16 : tflite::TensorType_INT16; case 32: return itype.isUnsigned() ? tflite::TensorType_UINT32
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (2) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.cc
const tflite::Model* input_model, BufferType quant_type, bool use_updated_hybrid_scheme) { tflite::TensorType inference_type; switch (quant_type) { case BufferType::QUANTIZED_FLOAT16: inference_type = tflite::TensorType_FLOAT16; break; default: inference_type = tflite::TensorType_INT8; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/converter_python_api.cc
} tflite::TensorType FromTocoDataTypeToTflitToTensorType(int inference_type) { switch (inference_type) { case toco::IODataType::QUANTIZED_INT16: return tflite::TensorType_INT16; case toco::IODataType::QUANTIZED_UINT8: return tflite::TensorType_UINT8; case toco::IODataType::UINT8: return tflite::TensorType_UINT8; case toco::IODataType::QUANTIZED_INT8:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 19.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/converter_python_api_wrapper.cc
return tensorflow::PyoOrThrow( tflite::MlirSparsifyModel(input_contents_txt_raw.ptr())); }, py::arg("input_contents_txt_raw"), R"pbdoc( Returns a sparsified model. )pbdoc"); m.def( "RegisterCustomOpdefs", [](py::object custom_opdefs_txt_raw) { return tensorflow::PyoOrThrow( tflite::RegisterCustomOpdefs(custom_opdefs_txt_raw.ptr())); },
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 18:18:30 UTC 2024 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model.cc
<< ", input_inference_type: " << tflite::EnumNameTensorType(input_type) << ", output_inference_type: " << tflite::EnumNameTensorType(output_type) << "\n"; mlir::Builder mlir_builder(&context); mlir::Type input_mlir_type = tflite::ConvertElementType(input_type, mlir_builder); mlir::Type output_mlir_type = tflite::ConvertElementType(output_type, mlir_builder);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/sparsity/sparsify_model_test.cc
namespace { TEST(SparsifyModelTest, MetadataIsAddedToOutputModel) { std::string expected_key = tflite::optimize::kTfLiteReducedPrecisionKey; std::string expected_value = "test_data"; // Load input model auto input_fbm = tflite::FlatBufferModel::BuildFromFile( "tensorflow/lite/testdata/sparse_tensor.bin"); tflite::ModelT input_model; input_fbm->GetModel()->UnPackTo(&input_model); // Populate input metadata
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 10 20:16:40 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/sparsity/sparsify_model.cc
namespace lite { absl::Status SparsifyModel(const tflite::ModelT& input_model, flatbuffers::FlatBufferBuilder* builder) { MLIRContext context; StatusScopedDiagnosticHandler statusHandler(&context, /*propagate=*/true); // Import input_model to a MLIR module flatbuffers::FlatBufferBuilder input_builder; flatbuffers::Offset<tflite::Model> input_model_location =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 10 20:16:40 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights.h
// dynamic range quantization for verify_numeric and whole_model_verify flags. TfLiteStatus QuantizeWeights( flatbuffers::FlatBufferBuilder* builder, const tflite::Model* input_model, const tflite::TensorType& inference_type, const absl::flat_hash_set<std::string>& denylisted_ops, const CustomOpMap& custom_op_map, int64_t minimum_elements_for_weights = 1024,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 4.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model.h
// of double, and call TOCO's quantization routines to maintain bit-exactness of // the values with the TOCO quantizer. TfLiteStatus QuantizeModel( absl::string_view model_buffer, const tflite::TensorType &input_type, const tflite::TensorType &output_type, const tflite::TensorType &inference_type, const std::unordered_set<std::string> &operator_names, bool disable_per_channel, bool fully_quantize, std::string &output_buffer,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter.cc
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" namespace tflite { namespace { bool IsConst(mlir::Operation* op) { return llvm::isa<mlir::arith::ConstantOp, mlir::TF::ConstOp, mlir::TFL::ConstOp, mlir::TFL::QConstOp>(op); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 7.5K bytes - Viewed (0)