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Results 91 - 100 of 436 for rewrite (0.19 sec)

  1. tensorflow/compiler/jit/extract_outside_compilation_pass.cc

          AddHostComputeKeyPlaceholder(xla_cluster_name, &host_graph));
    
      // Step 2: rewrite cond function.
      TF_RETURN_IF_ERROR(RewriteHostWhileLoopCond(
          cond_host_func_name, while_node_name, host_transfer_key,
          xla_cluster_attr_name, xla_cluster_name, outside_compilation_attr_name,
          outside_compilation_name, fld));
    
      // Step 3: rewrite body function.
      TF_RETURN_IF_ERROR(RewriteHostWhileLoopBody(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 12 06:33:33 UTC 2024
    - 104.7K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/transforms/tpu_space_to_depth_pass.cc

      // Book keeping new filter shape for backprop filter rewrite.
      // Filter shape is defined in HandleConv2DFilter, thus it is RankedTensorType.
      filter_shape =
          mlir::cast<RankedTensorType>(conv2d.getFilter().getType()).getShape();
      SmallVector<int32_t, 4> new_filter_shape(filter_shape.begin(),
                                               filter_shape.end());
    
      // Rewrite Conv2DBackPropFilter that is the user of first convolution's input.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 29.3K bytes
    - Viewed (0)
  3. pilot/pkg/model/virtualservice.go

    	}
    	delegate.Match = merged
    
    	if delegate.Name == "" {
    		delegate.Name = root.Name
    	} else if root.Name != "" {
    		delegate.Name = root.Name + "-" + delegate.Name
    	}
    	if delegate.Rewrite == nil {
    		delegate.Rewrite = root.Rewrite
    	}
    	if delegate.DirectResponse == nil {
    		delegate.DirectResponse = root.DirectResponse
    	}
    	if delegate.Timeout == nil {
    		delegate.Timeout = root.Timeout
    	}
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Sat Mar 30 11:17:03 UTC 2024
    - 17.4K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tf2xla/transforms/passes.h

        bool legalize_chlo = true,
        std::optional<StringRef> tf2xla_fallback_device_type = std::nullopt,
        bool prefer_tf2xla = false);
    
    /// Adds the TF to TF lowerings and TF to XLA rewrite patterns to the pattern
    /// list.
    void PopulateLegalizeTfPatterns(MLIRContext* context,
                                    RewritePatternSet* patterns);
    
    // Populates TF to MHLO legalization for some of the quantization ops.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 21:49:50 UTC 2024
    - 4.8K bytes
    - Viewed (0)
  5. src/cmd/vendor/rsc.io/markdown/link.go

    	var out []Inline // allocated lazily when we first change list
    	for i, x := range list {
    		switch x := x.(type) {
    		case *Plain:
    			if rewrite := p.autoLinkPlain(x.Text); rewrite != nil {
    				if out == nil {
    					out = append(out, list[:i]...)
    				}
    				out = append(out, rewrite...)
    				continue
    			}
    		case *Strong:
    			x.Inner = p.autoLinkText(x.Inner)
    		case *Del:
    			x.Inner = p.autoLinkText(x.Inner)
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed Jan 24 13:01:26 UTC 2024
    - 20.7K bytes
    - Viewed (0)
  6. src/cmd/compile/internal/ssa/copyelim.go

    func phielim(f *Func) {
    	for {
    		change := false
    		for _, b := range f.Blocks {
    			for _, v := range b.Values {
    				// This is an early place in SSA where all values are examined.
    				// Rewrite all 0-sized Go values to remove accessors, dereferences, loads, etc.
    				if t := v.Type; (t.IsStruct() || t.IsArray()) && t.Size() == 0 {
    					if t.IsStruct() {
    						v.reset(OpStructMake0)
    					} else {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Apr 22 14:55:18 UTC 2024
    - 3.5K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/stablehlo/transforms/fuse_convolution_pass.cc

          auto dimsType = RankedTensorType::get({1}, rewriter.getIntegerType(64));
          broadcast_dims = DenseIntElementsAttr::get(dimsType, {filter_rank - 1});
        }
        Value broadcast_multiplier = rewriter.create<mhlo::BroadcastInDimOp>(
            mul_op.getLoc(), filter.getType(), multiplier, broadcast_dims);
        Value new_filter = rewriter.create<mhlo::MulOp>(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 22:21:19 UTC 2024
    - 8.3K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform.cc

        };
    
        auto dequant_values =
            mlir::cast<DenseIntOrFPElementsAttr>(input_values)
                .mapValues(FloatType::getF32(rewriter.getContext()),
                           llvm::function_ref<DequantizeFuncType>(dequantize_func));
        rewriter.replaceOpWithNewOp<TFL::ConstOp>(dequant_op, dequant_op.getType(),
                                                  dequant_values);
    
        return success();
      }
    };
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 8.4K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_quantizable_spots_as_functions.cc

    #include "mlir/IR/PatternMatch.h"  // from @llvm-project
    #include "mlir/IR/SymbolTable.h"  // from @llvm-project
    #include "mlir/Pass/Pass.h"  // from @llvm-project
    #include "mlir/Pass/PassRegistry.h"  // from @llvm-project
    #include "mlir/Rewrite/FrozenRewritePatternSet.h"  // from @llvm-project
    #include "mlir/Support/LLVM.h"  // from @llvm-project
    #include "mlir/Support/LogicalResult.h"  // from @llvm-project
    #include "mlir/Support/TypeID.h"  // from @llvm-project
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 16.4K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h

          }
        } else {
          return failure();
        }
    
        rewriter.setInsertionPointAfter(op.getOperation());
        Type result_type = quant_type.castFromExpressedType(op.getType());
        auto q =
            rewriter.create<QuantizeOpT>(op.getLoc(), result_type, op.getArg());
        q->setAttr(kVolatileOpAttrName, rewriter.getUnitAttr());
    
        auto dq = rewriter.create<DequantizeOpT>(op.getLoc(), op.getType(), q);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 20:30:06 UTC 2024
    - 41.7K bytes
    - Viewed (0)
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