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Results 1 - 10 of 59 for SplitV (0.12 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK: "tfl.space_to_batch_nd" } func.func @split(%arg0: tensor<i32>, %arg1: tensor<1x4x3x3xf32>) -> tensor<1x4x3xf32> { %0:3 = "tf.Split"(%arg0, %arg1) : (tensor<i32>, tensor<1x4x3x3xf32>) -> (tensor<1x4x3xf32>, tensor<1x4x3xf32>, tensor<1x4x3xf32>) func.return %0#0 : tensor<1x4x3xf32> // CHECK-LABEL: split
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
//===----------------------------------------------------------------------===// // SplitOp //===----------------------------------------------------------------------===// // Verifies the input and split dimension operands for tf.Split/tf.SplitV. // Writes the split dimension's index (adjusted with input rank) via `dim_index` // if it's a constant. template <class Op> LogicalResult VerifySplitInputAndSplitDim(Op op,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
SameOperandsAndResultsScale]> { let summary = "Splits a tensor into `num_split` tensors along one dimension."; let description = [{ Splits the `value` tensor along `split_dim` into a number of sub-tensors with same shape as the original one, except for `split_dim`. The grouping of the resultant sub-tensors is decided by `size-splits`. Same as tf.SplitV. }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tests/integration/pilot/common/routing.go
}, workloadAgnostic: true, }) splits := [][]int{ {50, 25, 25}, {80, 10, 10}, } if skipVM { splits = [][]int{ {50, 50}, {80, 20}, } } for _, split := range splits { split := split t.RunTraffic(TrafficTestCase{ name: fmt.Sprintf("shifting-%d", split[0]),
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed May 08 21:52:51 UTC 2024 - 135.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
// CHECK: %[[SPLIT_0_OUT:[a-z0-9]+]]:2 = "tf.Split"(%[[CONST_SPLIT_0_DIM]], %[[RI_0]]) // CHECK: %[[CONST_SPLIT_1_DIM:.*]] = "tf.Const"() // CHECK: %[[SPLIT_1_OUT:[a-z0-9]+]]:2 = "tf.Split"(%[[CONST_SPLIT_1_DIM]], %[[SPLIT_0_OUT]]#0) // CHECK: %[[CONST_SPLIT_2_DIM:.*]] = "tf.Const"() // CHECK: %[[SPLIT_2_OUT:[a-z0-9]+]]:2 = "tf.Split"(%[[CONST_SPLIT_2_DIM]], %[[SPLIT_0_OUT]]#1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
%4, %5 = "tfl.split"(%split_dim_2, %arg0) {num_splits = 2 : i32} : (tensor<1xi32>, tensor<16x4xf32>) -> (tensor<16x2xf32>, tensor<16x2xf32>) %6:2 = "tfl.split"(%split_dim_2, %arg0) {num_splits = 2 : i32} : (tensor<1xi32>, tensor<16x4xf32>) -> (tensor<16x2xf32>, tensor<16x?xf32>) %7:2 = "tfl.split"(%split_dim_2, %arg0) {num_splits = 2 : i32} : (tensor<1xi32>, tensor<16x4xf32>) -> (tensor<?x2xf32>, tensor<16x?xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
def TPUColocateSplitsPass : Pass<"tf-tpu-colocate-splits", "mlir::func::FuncOp"> { let summary = "Colocates each Split op with its predecessor"; let constructor = "TFTPU::CreateTPUColocateSplitsPass()"; let description = [{ It is beneficial for performance to assign a `Split` op to the same device as its predecessor. This is because the weight of cut edges is always minimized when the `Split` is with its predecessor. This colocation
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/resources/org/gradle/api/internal/artifacts/ivyservice/ivyresolve/verification/report/uikit.min.js
0===s&&(s=document),!t||!D(t))return null;var a;At(t=t.replace(Et,"$1 *"))&&(a=[],t=t.match(_t).map(function(t){return t.replace(/,$/,"").trim()}).map(function(t,e){var i=s;if("!"===t[0]){var n=t.substr(1).trim().split(" ");i=Dt(Pt(s),n[0]),t=n.slice(1).join(" ").trim()}if("-"===t[0]){var r=t.substr(1).trim().split(" "),o=(i||s).previousElementSibling;i=Mt(o,t.substr(1))?o:null,t=r.slice(1).join(" ")}return i?(i.id||(i.id="uk-"+Date.now()+e,a.push(function(){return at(i,"id")})),"#"+Lt(i.id)+" "+t):null}).filt...
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 130.5K bytes - Viewed (0)