Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 6 of 6 for inputs_ty (0.24 sec)

  1. tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc

    LogicalResult XlaVariadicSortOp::verify() {
      XlaVariadicSortOp op = *this;
      const auto &inputs_ty = op.getInputs().getType();
      int n_inputs = inputs_ty.size();
      auto input_ty_0 = inputs_ty[0].cast<ShapedType>();
      if (input_ty_0.hasStaticShape()) {
        for (int i = 1; i < n_inputs; ++i) {
          auto input_ty_i = inputs_ty[i].cast<ShapedType>();
          if (input_ty_i.hasStaticShape() &&
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 22:07:10 UTC 2024
    - 170.8K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc

      DataFormatVecPermuteOp op = *this;
      auto input_ty = mlir::dyn_cast<RankedTensorType>(op.getX().getType());
      if (!input_ty) return success();
    
      int rank = input_ty.getRank();
      if (rank != 1 && rank != 2)
        return op.emitOpError("requires input of rank 1 or 2");
    
      if (rank == 1) {
        int64_t dim0 = input_ty.getDimSize(0);
        if (dim0 != ShapedType::kDynamic && dim0 != 4 && dim0 != 2)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 146.7K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/transforms/optimize.cc

        // i.e., num_input/input_last_dim = num_result/k
        auto input_ty = mlir::dyn_cast_or_null<ShapedType>(value.getType());
        auto result_ty = mlir::dyn_cast<ShapedType>(slice_op.getType());
        if (!input_ty || !result_ty) return std::nullopt;
        if (!input_ty.hasStaticShape() || !result_ty.hasStaticShape())
          return std::nullopt;
        if (!input_ty.getRank() || !result_ty.getRank()) return std::nullopt;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 30 00:40:15 UTC 2024
    - 102.3K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/ir/tfl_ops.cc

      const RankedTensorType input_ty =
          input.getType().dyn_cast_or_null<RankedTensorType>();
      const RankedTensorType filter_ty =
          filter.getType().dyn_cast_or_null<RankedTensorType>();
      // If indeed both input type & filter type are ranked type and have ranks.
      // We will need to check their ranks are valid.
      if ((input_ty && input_ty.hasRank() && input_ty.getRank() != 4) ||
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 169.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc

        ArrayRef<int64_t> shape = arg_shapes[i];
        Type element_type;
        if (auto input_ty =
                mlir::dyn_cast<RankedTensorType>(func_type.getInput(i))) {
          if (input_ty.getRank() != shape.size()) {
            return failure();
          }
          element_type = input_ty.getElementType();
        } else {
          auto unranked_input_ty =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Jun 08 07:28:49 UTC 2024
    - 134.1K bytes
    - Viewed (0)
  6. pkg/controller/statefulset/stateful_set_control_test.go

    func TestStatefulSetAvailability(t *testing.T) {
    	tests := []struct {
    		name                   string
    		inputSTS               *apps.StatefulSet
    		expectedActiveReplicas int32
    		readyDuration          time.Duration
    	}{
    		{
    			name:                   "replicas running for required time, when minReadySeconds is enabled",
    			inputSTS:               setMinReadySeconds(newStatefulSet(1), int32(3600)),
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Tue May 07 19:01:47 UTC 2024
    - 108.7K bytes
    - Viewed (0)
Back to top