// Since p is a uintptr, it would not be adjusted if the stack were to move.
//
// findObject should be an internal detail,
// but widely used packages access it using linkname.
// Notable members of the hall of shame include:
//   - github.com/bytedance/sonic
//
// Do not remove or change the type signature.
// See go.dev/issue/67401.
//
//go:linkname findObject
//go:nosplit

	loadedDirect := ld.allPatternIsRoot && maps.Equal(ld.Tags, imports.AnyTags())
	if loadedDirect {
		direct = make(map[string]bool)
	} else {
		// TODO(bcmills): It seems like a shame to allocate and copy a map here when
		// it will only rarely actually vary from rs.direct. Measure this cost and
		// maybe avoid the copy.
		direct = make(map[string]bool, len(rs.direct))
		for mPath := range rs.direct {

// client or server.
//
// cloneTLSConfig should be an internal detail,
// but widely used packages access it using linkname.
// Notable members of the hall of shame include:
//   - github.com/searKing/golang
//
// Do not remove or change the type signature.
// See go.dev/issue/67401.
//
//go:linkname cloneTLSConfig
func cloneTLSConfig(cfg *tls.Config) *tls.Config {

    // the same shape, which is defined by `shape`.
    [(IsTailOfShape $rhs, $lhs),
     (HasOneUse $lhs),
     // The result of the new "BinaryOp" will have the same shape as
     // `input`. In other words, the shape of the `Reshape` op are not
     // changed after the transformation.
     (IsTailOfShape $rhs, $input),
     (HasRankAtMost<4> $input),
     (HasRankAtMost<4> $lhs),

      }
      SmallVector<int64_t, 4> result_shape = {leading_dim_v};
      ArrayRef<int64_t> shape = element_type.getShape();
      result_shape.append(shape.begin(), shape.end());
      result_type =
          tensorflow::GetTypeFromTFTensorShape(result_shape, element_dtype);
    }

    // Create a 1-D RankedTensorType for result's shape. Number of elements in
    // it is equal to the rank of the result, if known. Otherwise, the number of

    %1 = "tf.VariableShape"(%input) : (tensor<!tf_type.resource<tensor<?x?x?xf32>>>) -> tensor<3xi32>
    // CHECK: %[[READ:.*]] = "tf.ReadVariableOp"(%arg0)
    // CHECK: %[[SHAPE:.*]] = "tf.Shape"(%[[READ]])
    // CHECK: return %[[SHAPE]]
    tf_device.return %1 : tensor<3xi32>
  }) : () -> tensor<3xi32>
  func.return %0 : tensor<3xi32>
}

// CHECK-LABEL: @decompose_variable_shape_i64

    }


    /**
     * Retrieves the share associated with this SMB resource. In
     * the case of <code>smb://</code>, <code>smb://workgroup/</code>,
     * and <code>smb://server/</code> URLs which do not specify a share,
     * <code>null</code> will be returned.
     *
     * @return The share component or <code>null</code> if there is no share
     */
    public String getShare () {

  // CHECK: %[[RESULT:.*]] = "tf.StridedSlice"(%arg0, %[[CST]], %[[CST0]], %[[CST1]])
  // CHECK-SAME: begin_mask = 7 : i64
  // CHECK-SAME: ellipsis_mask = 0 : i64
  // CHECK-SAME: end_mask = 14 : i64
  // CHECK-SAME: new_axis_mask = 0 : i64
  // CHECK-SAME: shrink_axis_mask = 0 : i64

          rewriter.getI32IntegerAttr(ConvertToTfliteSize(size));
    }
    auto shape_attr = DenseElementsAttr::get(shape_type, result_shape_data);
    auto shape = rewriter.create<TF::ConstOp>(loc, shape_type, shape_attr);

    return rewriter.create<TF::ReshapeOp>(loc, result_type, filter, shape);
  }
};

// StridedSlice can have complicated attributes like begin_axis_mask,

  const float eps = 1e-7;
  EXPECT_THAT(expected_tensor, NotNull());
  EXPECT_THAT(tensor->is_variable, Eq(expected_tensor->is_variable));
  EXPECT_THAT(tensor->shape, Eq(expected_tensor->shape));
  EXPECT_THAT(tensor->type, Eq(expected_tensor->type));
  const auto quantization_params = tensor->quantization.get();
  const auto expected_quantization_params = expected_tensor->quantization.get();