Add hipsycl-info tool

[illuhad]

This adds the hipsycl-info tool to list backends, available devices and their properties. It is similar to e.g. https://github.com/illuhad/syclinfo, but additionally prints more hipSYCL-specific information. Bundling such functionality with hipSYCL is probably more convenient for users.

Sample output:

=================Backend information===================
Loaded backend 0: HIP
  Found device: 
Loaded backend 1: CUDA
  (no devices found)
Loaded backend 2: OpenMP
  Found device: hipSYCL OpenMP host device

=================Device information===================
***************** Devices for backend HIP*****************
Device 0:
 General device information:
  Name: 
  Backend: HIP
  Vendor: AMD
  Arch: gfx90c:xnack-
  Driver version: 50221152
  Is CPU: 0
  Is GPU: 1
 Default executor information:
  Is in-order queue: 1
  Is out-of-order queue: 0
  Is task graph: 0
  Number of execution lanes for kernels: 2
  Number of execution lanes for data transfers: 2
 Device support queries:
  images: 0
  error_correction: 0
  host_unified_memory: 0
  little_endian: 1
  global_mem_cache: 1
  global_mem_cache_read_only: 0
  global_mem_cache_write_only: 0
  emulated_local_memory: 0
  sub_group_independent_forward_progress: 1
  usm_device_allocations: 1
  usm_host_allocations: 1
  usm_atomic_host_allocations: 0
  usm_shared_allocations: 1
  usm_atomic_shared_allocations: 0
  usm_system_allocations: 0
  execution_timestamps: 1
 Device properties:
  max_compute_units: 7
  max_global_size0: 18446744073709550592
  max_global_size1: 18446744073709550592
  max_global_size2: 18446744073709550592
  max_group_size: 1024
  max_num_sub_groups: 16
  preferred_vector_width_char: 4
  preferred_vector_width_double: 1
  preferred_vector_width_float: 1
  preferred_vector_width_half: 2
  preferred_vector_width_int: 1
  preferred_vector_width_long: 1
  preferred_vector_width_short: 2
  native_vector_width_char: 4
  native_vector_width_double: 1
  native_vector_width_float: 1
  native_vector_width_half: 2
  native_vector_width_int: 1
  native_vector_width_long: 1
  native_vector_width_short: 2
  max_clock_speed: 1600
  max_malloc_size: 536870912
  address_bits: 64
  max_read_image_args: 0
  max_write_image_args: 0
  image2d_max_width: 0
  image2d_max_height: 0
  image3d_max_width: 0
  image3d_max_height: 0
  image3d_max_depth: 0
  image_max_buffer_size: 0
  image_max_array_size: 0
  max_samplers: 0
  max_parameter_size: 18446744073709551615
  mem_base_addr_align: 8
  global_mem_cache_line_size: 128
  global_mem_cache_size: 1048576
  global_mem_size: 536870912
  max_constant_buffer_size: 536870912
  max_constant_args: 18446744073709551615
  local_mem_size: 65536
  printf_buffer_size: 18446744073709551615
  partition_max_sub_devices: 0
  vendor_id: 1022
  sub_group_sizes: 64 


***************** Devices for backend CUDA*****************
  (no devices)


***************** Devices for backend OpenMP*****************
Device 0:
 General device information:
  Name: hipSYCL OpenMP host device
  Backend: OpenMP
  Vendor: the hipSYCL project
  Arch: <native-cpu>
  Driver version: 1.2
  Is CPU: 1
  Is GPU: 0
 Default executor information:
  Is in-order queue: 1
  Is out-of-order queue: 0
  Is task graph: 0
  Number of execution lanes for kernels: 1
  Number of execution lanes for data transfers: 1
 Device support queries:
  images: 0
  error_correction: 0
  host_unified_memory: 1
  little_endian: 1
  global_mem_cache: 1
  global_mem_cache_read_only: 0
  global_mem_cache_write_only: 0
  emulated_local_memory: 1
  sub_group_independent_forward_progress: 0
  usm_device_allocations: 1
  usm_host_allocations: 1
  usm_atomic_host_allocations: 1
  usm_shared_allocations: 1
  usm_atomic_shared_allocations: 1
  usm_system_allocations: 1
  execution_timestamps: 1
 Device properties:
  max_compute_units: 16
  max_global_size0: 18446744073709551615
  max_global_size1: 18446744073709551615
  max_global_size2: 18446744073709551615
  max_group_size: 1024
  max_num_sub_groups: 18446744073709551615
  preferred_vector_width_char: 4
  preferred_vector_width_double: 1
  preferred_vector_width_float: 1
  preferred_vector_width_half: 2
  preferred_vector_width_int: 1
  preferred_vector_width_long: 1
  preferred_vector_width_short: 2
  native_vector_width_char: 4
  native_vector_width_double: 1
  native_vector_width_float: 1
  native_vector_width_half: 2
  native_vector_width_int: 1
  native_vector_width_long: 1
  native_vector_width_short: 2
  max_clock_speed: 0
  max_malloc_size: 18446744073709551615
  address_bits: 64
  max_read_image_args: 0
  max_write_image_args: 0
  image2d_max_width: 0
  image2d_max_height: 0
  image3d_max_width: 0
  image3d_max_height: 0
  image3d_max_depth: 0
  image_max_buffer_size: 0
  image_max_array_size: 0
  max_samplers: 0
  max_parameter_size: 18446744073709551615
  mem_base_addr_align: 8
  global_mem_cache_line_size: 64
  global_mem_cache_size: 1
  global_mem_size: 18446744073709551615
  max_constant_buffer_size: 18446744073709551615
  max_constant_args: 18446744073709551615
  local_mem_size: 18446744073709551615
  printf_buffer_size: 18446744073709551615
  partition_max_sub_devices: 0
  vendor_id: 18446744073709551615
  sub_group_sizes: 1 

One issue currently is that it does not yet link against libhipSYCL-rt using rpath, so LD_LIBRARY_PATH might be required. I'll have to see if I can fix this before merging.