- Sort Score
- Result 10 results
- Languages All
Results 41 - 49 of 49 for conv4 (0.14 sec)
-
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" #include "xla/xla_data.pb.h" namespace mlir::quant { namespace { constexpr StringRef kTfQuantCreatedEinsum = "__tf_quant_created_einsum"; // Replaces mixed-type Conv and Matmul cast hacks with TF XLA ops. // TODO(b/228403741): Support conversion for dynamic-shaped TF ops. class ReplaceCastHacksWithTFXLAOpsPass : public PassWrapper<ReplaceCastHacksWithTFXLAOpsPass,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver.h
Operation* target_op, int operand_index); // Adjusts bias scale that is derived from other scales (fc, conv ops) to // prevent overflow of quantized bias values. This also changes quantization // state of other inputs when needed. bool SetBiasParamsWithAdjustments(Operation* op, int bias_index,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 20 11:42:17 UTC 2024 - 16.8K bytes - Viewed (0) -
src/cmd/compile/internal/staticinit/sched.go
return true } // We may have skipped past one or more OCONVNOPs, so // use conv to ensure r is assignable to l (#13263). dst := ir.Node(l) if loff != 0 || !types.Identical(typ, l.Type()) { dst = ir.NewNameOffsetExpr(base.Pos, l, loff, typ) } s.append(ir.NewAssignStmt(base.Pos, dst, typecheck.Conv(r, typ))) return true case ir.ONIL: return true case ir.OLITERAL:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 17:16:14 UTC 2024 - 30.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
Option<"is_signed_", "is-signed", "bool", "false", "Is the corresponding integer signed">, ]; } def IdentifyDilatedConvPass : Pass<"tfl-identify-dilated-conv", "mlir::func::FuncOp"> { let summary = "Convert dense tensor to sparse format."; let constructor = "CreateIdentifyDilatedConvPass()"; let dependentDialects = ["TFL::TensorFlowLiteDialect"]; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0) -
pilot/pkg/serviceregistry/kube/controller/controller.go
for _, svc := range services { hostname := kube.ServiceHostname(svc.Name, svc.Namespace, c.opts.DomainSuffix) c.Lock() conv, f := c.servicesMap[hostname] c.Unlock() if !f { return } shard := model.ShardKeyFromRegistry(c) endpoints := c.buildEndpointsForService(conv, true) if len(endpoints) > 0 { c.opts.XDSUpdater.EDSCacheUpdate(shard, string(hostname), svc.Namespace, endpoints) }
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu May 23 21:07:03 UTC 2024 - 41.2K bytes - Viewed (0) -
src/go/parser/parser_test.go
{name: "recv", format: "package main; var x = «<-»x"}, {name: "call", format: "package main; var x = «f(«1»)»", parseMultiplier: 2}, // Parser nodes: Ident, CallExpr {name: "conv", format: "package main; var x = «(*T)(«1»)»", parseMultiplier: 2}, // Parser nodes: ParenExpr, CallExpr {name: "label", format: "package main; func main() { «Label:» }"},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 31 20:26:14 UTC 2024 - 24.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver.cc
// For now, restrict scale adjustment to ops with affine quantized weights, // and having weights and biases as constants. This currently only applies to // FC and Conv* ops. Restriction for the weight can be relaxed if there are // needs for adjusting scale of variable weights. auto affine_op = dyn_cast<AffineQuantizedOpInterface>(op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 38.1K bytes - Viewed (0) -
src/cmd/compile/internal/typecheck/typecheck.go
return false } } // DefaultLit is necessary for non-constants too: n might be 1.1<<k. n = DefaultLit(n, types.Types[types.TINT]) *np = n return true } func Conv(n ir.Node, t *types.Type) ir.Node { if types.IdenticalStrict(n.Type(), t) { return n } n = ir.NewConvExpr(base.Pos, ir.OCONV, nil, n) n.SetType(t) n = Expr(n) return n }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 20 19:08:34 UTC 2024 - 30.5K bytes - Viewed (0)