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Results 21 - 30 of 134 for DRconv (0.1 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/optimize.mlir
%zp_offset: tensor<?x2x2x1xi32>, %bias: tensor<1xi32> ) -> tensor<?x2x2x1xi32> { // CHECK-DAG: %[[conv:.*]] = mhlo.convolution // CHECK-DAG: %[[combined:.*]] = chlo.broadcast_add %[[zp_offset:.*]], %[[bias:.*]] // CHECK-DAG: %[[result:.*]] = chlo.broadcast_add %[[conv]], %[[combined]] // CHECK: return %[[result]] %0 = mhlo.convolution(%lhs, %rhs) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 10.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.td
// support non-constant weights. def ConvertTFConv2DToXLAConvOp : Pat< (TF_Conv2DOp:$conv (TF_SubOp (TF_CastOp $input, $truncate), $input_zp), (TF_CastOp (TF_IdentityOp $filter), $truncate1), $strides, $use_cudnn, $padding, $explicit_padding, IsDataFormatNHWC:$data_format, $dilations), (CreateXLAConvOpFromTFConv2DOp $input, $filter, $input_zp, $conv, $strides, $dilations, $padding, $explicit_padding),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 21.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/optimize.td
def IsNull : Constraint<CPred<"!$0">>; // This pattern optimizes: // conv/dot_general + a + b -> conv/dot_general + (a + b) // conv/dot_general - a - b -> conv/dot_general - (a + b) // conv/dot_general + a - b -> conv/dot_general + (a - b) // conv/dot_general - a + b -> conv/dot_general - (a - b) foreach OpsTuple = [ [CHLO_BroadcastAddOp, CHLO_BroadcastAddOp, CHLO_BroadcastAddOp],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 2K bytes - Viewed (0) -
src/cmd/compile/internal/walk/assign.go
// if uint(newLen) <= uint(oldCap) nif := ir.NewIfStmt(base.Pos, nil, nil, nil) nuint := typecheck.Conv(newLen, types.Types[types.TUINT]) scapuint := typecheck.Conv(oldCap, types.Types[types.TUINT]) nif.Cond = ir.NewBinaryExpr(base.Pos, ir.OLE, nuint, scapuint) nif.Likely = true // then { s = s[:newLen] }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 08 17:09:06 UTC 2024 - 20.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-conv.mlir
Michael Levesque-Dion <******@****.***> 1706075999 -0800
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 24 06:08:43 UTC 2024 - 1.6K bytes - Viewed (0) -
src/cmd/internal/obj/s390x/asmz.go
cmp[4][op.a5] && cmp[5][op.a6] { p.Optab = uint16(cap(optab) - cap(ops) + i + 1) return op } } // Cannot find a case; abort. s := "" for _, a := range args { s += fmt.Sprintf(" %v", DRconv(int(a))) } c.ctxt.Diag("illegal combination %v%v\n", p.As, s) c.ctxt.Diag("prog: %v\n", p) return nil } func cmp(a int, b int) bool { if a == b { return true } switch a {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 16 17:46:09 UTC 2024 - 176.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir
// CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[TRANSPOSE_0]], %[[CONST]]) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = {{\[\[}}1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x4x4x8xf32>, tensor<3x3x8x8xf32>) -> tensor<1x4x4x8xf32> // CHECK: %[[TRANSPOSE_1:.+]] = stablehlo.transpose %[[CONV]], dims = [0, 3, 1, 2] : (tensor<1x4x4x8xf32>) -> tensor<1x8x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 12.6K bytes - Viewed (0) -
src/main/assemblies/files/service.bat
set unit=%value:~-1% rem assume the unit is specified set conv=%value:~0,-1% if "%unit%" == "k" goto kilo if "%unit%" == "K" goto kilo if "%unit%" == "m" goto mega if "%unit%" == "M" goto mega if "%unit%" == "g" goto giga if "%unit%" == "G" goto giga rem no unit found, must be bytes; consider the whole value set conv=%value% rem convert to KB set /a conv=%conv% / 1024 :kilo rem convert to MB
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Sun Jan 15 06:32:15 UTC 2023 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/optimize_graph.mlir
// CHECK: %[[QUANT_ARG_0:.*]] = stablehlo.uniform_quantize %[[ARG_0]] // CHECK: %[[CONV:.*]] = stablehlo.convolution(%[[QUANT_ARG_0]], %[[QUANT_CST]]) // CHECK-NOT: stablehlo.uniform_quantize // CHECK: %[[DEQUANT:.*]] = stablehlo.uniform_dequantize %[[CONV]] // CHECK: return %[[DEQUANT]] %cst = stablehlo.constant dense<0.4> : tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
// CHECK-DAG: %[[CONV:.*]] = stablehlo.convolution(%[[ARG]], %[[CONST_1]]) {{.*}} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32> // CHECK-DAG: %[[BROADCAST:.*]] = stablehlo.broadcast_in_dim %[[CONST_0]], dims = [3] : (tensor<2xf32>) -> tensor<1x3x2x2xf32> // CHECK-DAG: %[[ADD:.*]] = stablehlo.add %[[CONV]], %[[BROADCAST]] : tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0)