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Results 1 - 7 of 7 for TfLite (0.15 sec)
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tensorflow/compiler/mlir/lite/flatbuffer_import.cc
using mlir::func::FuncOp; using tflite::OperatorT; using tflite::TensorT; namespace errors = tensorflow::errors; namespace tfl = mlir::TFL; namespace { constexpr char kScatterRegionFuncName[] = "update_computation_func_name"; using ::mlir::tf_saved_model::kTfSavedModelExportedNamesAttr; using ::mlir::tf_saved_model::kTfSavedModelIndexPathAttr; using ::tflite::IsValidBufferOffset;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
// HWIO data format. // // Motivation to prepare for the TFLite legalization before the actual // legalization is to exploit constant folding opportunities in any newly // created ops by leveraging constant folding support for the TensorFlow ops. // This way TFLite can be used as a serialization format only and does not // require access to the TFLite runtime for optimizations as required by the // TFLite team. #include <climits> #include <cstdint>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
TensorType inference_tensor_type = activations_type; const bool fully_quantize = !allow_float; flatbuffers::FlatBufferBuilder input_builder; tflite::FinishModelBuffer(input_builder, tflite::Model::Pack(input_builder, model)); const std::string input_buffer( reinterpret_cast<const char*>(input_builder.GetBufferPointer()), input_builder.GetSize());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
def L2NormValidReduceIndex : Constraint<CPred< "L2NormalizeReduceAxis($0, $1.cast<DenseElementsAttr>())">>; // Currently L2Normalization doesn't support activation function // in TFLite. // TODO(karimnosseir): Add constraints that the kernel code assumes. // constraint on axis and depth. multiclass L2NormalizePatterns<Op FirstOp, Op SecondOp> { // This pattern constructs L2NormalizationOp from
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/BUILD
default_visibility = ["//visibility:public"], licenses = ["notice"], ) package_group( name = "friends", packages = [ "//learning/brain/experimental/mlir/tflite/tfmrt/...", "//learning/brain/mlir/...", "//third_party/iree/...", "//third_party/odml/infra/...", "//tensorflow/compiler/mlir/...", "//tensorflow/lite/python/...",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 49.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
limitations under the License. ==============================================================================*/ // This transformation pass prepares for legalization to the TFLite dialect by // converting Tensorlist operations in TensorFlow dialect into operations that // can be legalized to TensorFlow Lite dialect with simple replacements. The
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
.bazelrc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 17:12:54 UTC 2024 - 52.9K bytes - Viewed (0)