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Results 171 - 180 of 196 for conv2 (0.05 sec)
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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) -
src/net/dial_test.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Feb 20 06:04:31 UTC 2024 - 30.3K bytes - Viewed (0) -
platforms/software/dependency-management/src/integTest/groovy/org/gradle/integtests/resolve/versions/VersionConflictResolutionIntegrationTest.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu May 09 11:33:46 UTC 2024 - 76.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
}; using ConvertConv2DDynamic = ConvertConvDynamic<TF::Conv2DOp, /*num_spatial_dims=*/2>; // Converts the TensorFlow conv op in template to the generic HLO conv op by // converting TensorFlow op attributes to HLO op attributes. // // Sample result for Conv2D: // // %conv = "mhlo.convolution"(%input, %filter) { // strides = [1, 2], // paddings = [[1, 0], [1, 1]], // ... // } //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (1) -
src/cmd/compile/internal/typecheck/builtin.go
{"slicerunetostring", funcTag, 48}, {"stringtoslicebyte", funcTag, 50}, {"stringtoslicerune", funcTag, 53}, {"slicecopy", funcTag, 54}, {"decoderune", funcTag, 55}, {"countrunes", funcTag, 56}, {"convT", funcTag, 57}, {"convTnoptr", funcTag, 57}, {"convT16", funcTag, 59}, {"convT32", funcTag, 61}, {"convT64", funcTag, 62}, {"convTstring", funcTag, 63}, {"convTslice", funcTag, 66}, {"assertE2I", funcTag, 67},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 21 21:08:03 UTC 2024 - 16.2K bytes - Viewed (0) -
pkg/kubelet/cm/devicemanager/manager_test.go
withMounts(map[string]string{"/home/r2lib1": "/usr/r2lib1"}), withEnvs(map[string]string{"r2devices": "dev1 dev2"}), ), ) testManager.podDevices.insert("pod1", "con2", resourceName1, constructDevices([]string{"dev3"}), newContainerAllocateResponse( withDevices(map[string]string{"/dev/r1dev3": "/dev/r1dev3"}), withMounts(map[string]string{"/home/r1lib1": "/usr/r1lib1"}), ),
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Jun 04 06:25:43 UTC 2024 - 65K 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/jit/mark_for_compilation_pass.cc
"BesselI1e", "Betainc", "BiasAddV1", "Bincount", "Bucketize", "Case", "CheckNumerics", "Cholesky", "ControlTrigger", "Conv", "Conv2D", "Conv2DBackpropFilter", "Conv2DBackpropInput", "Conv3D", "Conv3DBackpropFilterV2", "Conv3DBackpropInputV2", "Cross", "Cumprod", "Cumsum",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K 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) -
tensorflow/compiler/mlir/tfr/ir/tfr_ops.cc
// TFR_ConstantTensorOp ( // ConstantOp (ConstAttr<F32Attr (in_scale[0] * in_scale[1] / // out_scale)) // ) // Currently, all decompositions using this pattern (Conv2D, FC) have the // following preconditions: // * out_scale: float scalar attribute // * in_scale[0] (input scale): float scalar, given by tf.Const -> tfr.cast // * in_scale[1] (filter scale): float scalar/vector
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Nov 21 16:55:41 UTC 2023 - 38.2K bytes - Viewed (0)