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Results 1 - 10 of 12 for DRconv (0.19 sec)
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src/cmd/internal/obj/loong64/asm.go
p.Optab = uint16(cap(optab) - cap(ops) + i + 1) return op } } c.ctxt.Diag("illegal combination %v %v %v %v %v %v", p.As, DRconv(a1), DRconv(a2), DRconv(a3), DRconv(a4), DRconv(a5)) prasm(p) // Turn illegal instruction into an UNDEF, avoid crashing in asmout. return &Optab{obj.AUNDEF, C_NONE, C_NONE, C_NONE, C_NONE, C_NONE, 49, 4, 0, 0} }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 02:04:54 UTC 2024 - 61.8K bytes - Viewed (0) -
src/cmd/internal/obj/arm/asm5.go
a1 = C_LCON } if (a3 == C_RCON2A || a3 == C_RCON2S) && p.Scond&C_SBIT != 0 { a3 = C_LCON } if false { /*debug['O']*/ fmt.Printf("oplook %v %v %v %v\n", p.As, DRconv(a1), DRconv(a2), DRconv(a3)) fmt.Printf("\t\t%d %d\n", p.From.Type, p.To.Type) } if (p.As == ASRL || p.As == ASRA) && p.From.Type == obj.TYPE_CONST && p.From.Offset == 0 {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Dec 15 20:51:01 UTC 2023 - 79.4K bytes - Viewed (0) -
src/cmd/internal/obj/mips/asm0.go
p.Optab = uint16(cap(optab) - cap(ops) + i + 1) return op } } c.ctxt.Diag("illegal combination %v %v %v %v", p.As, DRconv(a1), DRconv(a2), DRconv(a3)) prasm(p) // Turn illegal instruction into an UNDEF, avoid crashing in asmout. return &Optab{obj.AUNDEF, C_NONE, C_NONE, C_NONE, 49, 4, 0, 0, 0} } func cmp(a int, b int) bool { if a == b {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 16 17:46:09 UTC 2024 - 53.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
// CHECK: } // CHECK-LABEL: private @composite_conv_with_bias_dynamic_fn_1 // CHECK: %[[CONV:.*]] = stablehlo.convolution(%arg0, %arg1) // CHECK: %[[SHAPE_OF:.*]] = shape.shape_of %[[CONV]] // CHECK: %[[DYNAMIC_BROADCAST_IN_DIM:.*]] = stablehlo.dynamic_broadcast_in_dim %arg2, %[[SHAPE_OF]] // CHECK: %[[ADD:.*]] = stablehlo.add %[[CONV]], %[[DYNAMIC_BROADCAST_IN_DIM]] // CHECK: return %[[ADD]] : tensor<?x28x28x16xf32> // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%conv = "tfl.conv_2d"(%input, %weight, %bias) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x224x224x3xf32>, tensor<32x3x3x3xf32>, tensor<32xf32>) -> tensor<1x112x112x32xf32> func.return %conv : tensor<1x112x112x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
src/cmd/cgo/gcc.go
conv.getTypeIDs[n.Go[:len(n.Go)-9]] = true } } for i, n := range names { if types[i] == nil { continue } pos := f.NamePos[n] f, fok := types[i].(*dwarf.FuncType) if n.Kind != "type" && fok { n.Kind = "func" n.FuncType = conv.FuncType(f, pos) } else { n.Type = conv.Type(types[i], pos) switch n.Kind { case "iconst":
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 20 15:50:06 UTC 2024 - 97K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
// CHECK: %[[PAD:.*]] = "tf.PadV2"({{.*}}, %[[CONST]], %[[CONST_1]]) // CHECK: %[[CONV:.*]] = "tf.XlaConvV2"(%[[PAD]], %[[WEIGHT]] // CHECK-SAME: (tensor<1x4x5x5x3xi8>, tensor<2x3x3x3x2xi8>, tensor<3xi32>, tensor<3x2xi32>, tensor<3xi32>, tensor<3xi32>, tensor<i32>) -> tensor<1x3x2x3x2xi32> // CHECK: %[[SUB:.*]] = "tf.Sub"(%[[CONV]], %[[CONST_2]]) } // ----- module attributes {tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
auto pad_output_type = UnrankedTensorType::get(elem_type); input = rewriter.create<TF::PadOp>(op->getLoc(), pad_output_type, input, padding_const); // Set Conv padding to `VALID` since padding has been handled by Pad op. state.padding = rewriter.getStringAttr("VALID"); } auto conv_op = static_cast<const ConcreteType *>(this)->createTFLOp(
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/transforms/optimize_patterns.td
ConstBoolAttrTrue, $asymmetric_quantize_inputs), [(HasRank<2> $input), (AreLastTwoDimsTransposed $perm_value), (IsBoolAttrEqual<"false"> $adj_y)]>; // Replace conv-->transpose-->add with conv-->add-->transpose // The bias needs only reshape (i.e. ReshapeNCHWBiasToNHWC) and not transpose // because the bias's shape simply changes from NxCx1x1 to Nx1x1xC. def ReorderNCHWTransposeAdd : Pat <
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/jit/mark_for_compilation_pass.cc
{"BN", {"FusedBatchNorm", "FusedBatchNormV2", "FusedBatchNormV3", "_FusedBatchNormEx", "FusedBatchNormGrad", "FusedBatchNormGradV2", "FusedBatchNormGradV3"}}, {"Conv", {"_FusedConv2D"}}, {"SORT", {"TopKV2"}}, // XLA version much faster then TF version. {"MISC", // clang-format off {"ApproxTopK", "BroadcastTo", "ExpandDims", "Fill", "NoOp",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0)