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Results 1 - 10 of 106 for Decomposes (0.15 sec)
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tensorflow/compiler/mlir/tfr/integration/tfr_decompose_ctx.h
GraphExportConfig export_confs_; }; // Decomposes the NodeDef to a set of primitive ops according to the decompose // library loaded. Wrap the decomposed result in a FunctionDef. absl::StatusOr<FunctionDef> ExpandNode(const NodeDef& node_def, StringPiece func_name); // Decomposes the ops in the ModuleOp to a set of primitive ops according to // decompose library in the context.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 11:12:54 UTC 2024 - 3.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/utils/math_utils.h
limitations under the License. ==============================================================================*/ #include "mlir/Support/LogicalResult.h" // from @llvm-project namespace mlir::quant::stablehlo { // Decomposes a given floating point value num into a normalized and quantized // fraction and an integral power of two. LogicalResult QuantizeMultiplier(double double_multiplier,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 18 07:43:59 UTC 2023 - 1.3K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/decompose.go
package ssa import ( "cmd/compile/internal/types" "sort" ) // decompose converts phi ops on compound builtin types into phi // ops on simple types, then invokes rewrite rules to decompose // other ops on those types. func decomposeBuiltIn(f *Func) { // Decompose phis for _, b := range f.Blocks { for _, v := range b.Values { if v.Op != OpPhi { continue }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Aug 23 21:22:15 UTC 2022 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
std::unique_ptr<OperationPass<ModuleOp>> CreateConvertLaunchFuncToTFCallPass(); // A pass that decomposes composite resource operations into primitive ones like // ReadVariableOp, AssignVariableOp and other computations to facilitate // transformations like resource op lifting. std::unique_ptr<OperationPass<func::FuncOp>> CreateDecomposeResourceOpsPass(); // A pass that decomposes composite resource operations in device cluster
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 31.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.td
} def DecomposeResourceOpsPass : Pass<"tf-device-decompose-resource-ops", "mlir::func::FuncOp"> { let summary = "Decompose composite resource variable operations into primitive Read/AssignVariableOp and raw computation."; let description = [{ A pass that decomposes composite resource operations into primitive ones like
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 12.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/decompose_hybrid_quantization.cc
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ // This transformation pass decomposes dense operations that assume // support for hybrid quantization. These cases cover when a dense operation // (e.g. matmul) has both quantized and unquantized inputs by dequantizing
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/python/op_reg_gen.py
compose_dec.append(dec) if not compose_dec: # skip a non-composition function return elif len(compose_dec) > 1: raise KeyError('More than one TF ops decomposes for.') all_dec_args = {} for arg_name, arg_value in zip(_COMPOSITE_ARG_LIST, compose_dec[0].args): all_dec_args[arg_name] = self.visit(arg_value)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/stack_ops_decomposition.cc
decomposed_partitioned_call_callees))) return failure(); } return success(); } // Decomposes stack ops on a region and recursively decomposes called functions. // data_var_to_size_var: a mapping from stacks' buffer local variables to size // local variables. // decomposed_partitioned_call_callees: cache for partitioned call ops' callee
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 23.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.h
// Creates an instance of the TensorFlow Lite dialect QuantizeVariables pass. std::unique_ptr<OperationPass<ModuleOp>> CreatePrepareQuantizeVariablesPass(); // Creates an instance of the TensorFlow Lite pass that decomposes hybrid // quantization patterns to the same dense operation with tfl dequantization // and quantization patterns. std::unique_ptr<OperationPass<func::FuncOp>> CreateDecomposeHybridQuantizationPass();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 07 21:29:34 UTC 2024 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
"Is the corresponding integer signed">, ]; } def DecomposeHybridQuantizationPass : Pass<"tfl-decompose-hybrid-quantization", "mlir::func::FuncOp"> { let summary = "Decomposes hybridge quantization to explicit quantize / dequantize"; let description = [{ Decomposes (with explicit quantize/dequantize ops) selected math operations which exist in the model with hybrid quantization
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0)