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tensorflow/compiler/mlir/quantization/tensorflow/python/type_casters.h
#include "tensorflow/compiler/mlir/quantization/tensorflow/exported_model.pb.h" #include "tensorflow/compiler/mlir/quantization/tensorflow/quantization_options.pb.h" #include "tensorflow/core/framework/graph.pb.h" #include "tensorflow/core/protobuf/meta_graph.pb.h" #include "tensorflow/python/lib/core/pybind11_lib.h" #include "tsl/platform/protobuf.h" // IWYU pragma: keep namespace pybind11::detail { namespace internal {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 6.6K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
# For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try: del python except NameError: pass try: del core except NameError: pass try: del compiler except NameError: pass
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 02:14:00 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/converter_python_api.h
namespace tflite { // Convert a model represented in `input_contents`. `model_flags_proto` // describes model parameters. `flags_proto` describes conversion // parameters (see relevant .protos for more information). Returns a string // representing the contents of the converted model. When extended_return // flag is set to true returns a dictionary that contains string representation
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 18:18:30 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/rename_entrypoint_to_main.cc
auto entrypoint = entrypoints.begin()->second; Builder builder(entrypoint); entrypoint.setName(builder.getStringAttr("main")); return; } // In case we have more than 1 entry points, choose the one with // 'tf.entry_function' attribute set. llvm::SmallVector<func::FuncOp, 4> candidate_funcs; for (auto& entrypoint : entrypoints) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/BUILD
], deps = [ ":modular_filesystem", "//tensorflow/core:framework_internal", "//tensorflow/core/lib/io:path", "//tensorflow/core/platform:env", "//tensorflow/core/platform:errors", "//tensorflow/core/platform:stacktrace_handler", "//tensorflow/core/platform:test", ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 27 18:00:18 UTC 2024 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/tftext_utils.cc
return success(); } LogicalResult VerifyNgrams(func::FuncOp func) { // The inputs and outputs should be the same: // * A string tensor for tokens/ragged tensor values. // * Zero or more row_split tensors. constexpr int kValues = 0; constexpr int kRowSplits = 1; if (func.getFunctionType().getInputs().size() != func.getFunctionType().getResults().size()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/graph_optimization_pass.cc
} VLOG(1) << "Run MLIR Graph Optimization Passes"; PassManager pm(module.getContext()); ::tensorflow::applyTensorflowAndCLOptions(pm); // Run island coarsening before shape inference to allow more exact shape // inference using constant folding within islands. pm.addNestedPass<func::FuncOp>( tf_executor::CreateTFExecutorIslandCoarseningPass()); pm.addPass(CreateTFShapeInferencePass());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 09:56:53 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.cc
#include "tensorflow/core/framework/tensor.h" #include "tensorflow/core/framework/tensor.pb.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/tensor_shape.pb.h" #include "tensorflow/core/framework/tensor_util.h" #include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/lib/core/errors.h" #include "tensorflow/core/platform/bfloat16.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 20.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/ir/FakeQuantSupport.h
// opinions taken by that codebase (vs providing any amount of genericity). // // Specifically, it combines the following concerns, each of which would be // independent variables in a more generic setup: // - numBits and isSigned imply storage data type (uint8, int8, int16) // - numBits < 8 is promoted to uint8 or int8 // - "narrow_range" narrows the lower bound of the storage type's range by // 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 11:52:27 UTC 2024 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/debug/debug_options.proto
// If true, always print the top-level operation when printing IR for // print_ir_[before|after]. optional bool print_ir_module_scope = 7 [default = true]; // Elide ElementsAttrs with \"...\" that have more elements than the given // upper limit. optional int64 elide_elementsattrs_if_larger = 8;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 10 02:44:52 UTC 2024 - 2.6K bytes - Viewed (0)