Class: OnnxRuntime::InferenceSession

Inherits:
Object
  • Object
show all
Defined in:
lib/onnxruntime/inference_session.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(path_or_bytes, enable_cpu_mem_arena: true, enable_mem_pattern: true, enable_profiling: false, execution_mode: nil, free_dimension_overrides_by_denotation: nil, free_dimension_overrides_by_name: nil, graph_optimization_level: nil, inter_op_num_threads: nil, intra_op_num_threads: nil, log_severity_level: nil, log_verbosity_level: nil, logid: nil, optimized_model_filepath: nil, profile_file_prefix: nil, session_config_entries: nil, providers: []) ⇒ InferenceSession

Returns a new instance of InferenceSession.



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# File 'lib/onnxruntime/inference_session.rb', line 5

def initialize(path_or_bytes, enable_cpu_mem_arena: true, enable_mem_pattern: true, enable_profiling: false, execution_mode: nil, free_dimension_overrides_by_denotation: nil, free_dimension_overrides_by_name: nil, graph_optimization_level: nil, inter_op_num_threads: nil, intra_op_num_threads: nil, log_severity_level: nil, log_verbosity_level: nil, logid: nil, optimized_model_filepath: nil, profile_file_prefix: nil, session_config_entries: nil, providers: [])
  # session options
  session_options = ::FFI::MemoryPointer.new(:pointer)
  check_status api[:CreateSessionOptions].call(session_options)
  if enable_cpu_mem_arena
    check_status api[:EnableCpuMemArena].call(session_options.read_pointer)
  else
    check_status api[:DisableCpuMemArena].call(session_options.read_pointer)
  end
  if enable_mem_pattern
    check_status api[:EnableMemPattern].call(session_options.read_pointer)
  else
    check_status api[:DisableMemPattern].call(session_options.read_pointer)
  end
  if enable_profiling
    check_status api[:EnableProfiling].call(session_options.read_pointer, ort_string(profile_file_prefix || "onnxruntime_profile_"))
  else
    check_status api[:DisableProfiling].call(session_options.read_pointer)
  end
  if execution_mode
    execution_modes = {sequential: 0, parallel: 1}
    mode = execution_modes[execution_mode]
    raise ArgumentError, "Invalid execution mode" unless mode
    check_status api[:SetSessionExecutionMode].call(session_options.read_pointer, mode)
  end
  if free_dimension_overrides_by_denotation
    free_dimension_overrides_by_denotation.each do |k, v|
      check_status api[:AddFreeDimensionOverride].call(session_options.read_pointer, k.to_s, v)
    end
  end
  if free_dimension_overrides_by_name
    free_dimension_overrides_by_name.each do |k, v|
      check_status api[:AddFreeDimensionOverrideByName].call(session_options.read_pointer, k.to_s, v)
    end
  end
  if graph_optimization_level
    optimization_levels = {none: 0, basic: 1, extended: 2, all: 99}
    level = optimization_levels[graph_optimization_level]
    raise ArgumentError, "Invalid graph optimization level" unless level
    check_status api[:SetSessionGraphOptimizationLevel].call(session_options.read_pointer, level)
  end
  check_status api[:SetInterOpNumThreads].call(session_options.read_pointer, inter_op_num_threads) if inter_op_num_threads
  check_status api[:SetIntraOpNumThreads].call(session_options.read_pointer, intra_op_num_threads) if intra_op_num_threads
  check_status api[:SetSessionLogSeverityLevel].call(session_options.read_pointer, log_severity_level) if log_severity_level
  check_status api[:SetSessionLogVerbosityLevel].call(session_options.read_pointer, log_verbosity_level) if log_verbosity_level
  check_status api[:SetSessionLogId].call(session_options.read_pointer, logid) if logid
  check_status api[:SetOptimizedModelFilePath].call(session_options.read_pointer, ort_string(optimized_model_filepath)) if optimized_model_filepath
  if session_config_entries
    session_config_entries.each do |k, v|
      check_status api[:AddSessionConfigEntry].call(session_options.read_pointer, k.to_s, v.to_s)
    end
  end
  providers.each do |provider|
    unless self.providers.include?(provider)
      warn "Provider not available: #{provider}"
      next
    end

    case provider
    when "CUDAExecutionProvider"
      cuda_options = ::FFI::MemoryPointer.new(:pointer)
      check_status api[:CreateCUDAProviderOptions].call(cuda_options)
      check_status api[:SessionOptionsAppendExecutionProvider_CUDA_V2].call(session_options.read_pointer, cuda_options.read_pointer)
      release :CUDAProviderOptions, cuda_options
    when "CPUExecutionProvider"
      break
    else
      raise ArgumentError, "Provider not supported: #{provider}"
    end
  end

  @session = load_session(path_or_bytes, session_options)
  ObjectSpace.define_finalizer(@session, self.class.finalize(read_pointer.to_i))

  @allocator = load_allocator
  @inputs = load_inputs
  @outputs = load_outputs
ensure
  release :SessionOptions, session_options
end

Instance Attribute Details

#inputs ⇒ Object (readonly)

Returns the value of attribute inputs.



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# File 'lib/onnxruntime/inference_session.rb', line 3

def inputs
  @inputs
end

#outputs ⇒ Object (readonly)

Returns the value of attribute outputs.



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# File 'lib/onnxruntime/inference_session.rb', line 3

def outputs
  @outputs
end

Instance Method Details

#end_profiling ⇒ Object

return value has double underscore like Python



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# File 'lib/onnxruntime/inference_session.rb', line 175

def end_profiling
  out = ::FFI::MemoryPointer.new(:string)
  check_status api[:SessionEndProfiling].call(read_pointer, @allocator.read_pointer, out)
  out.read_pointer.read_string
end

#modelmeta ⇒ Object 



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# File 'lib/onnxruntime/inference_session.rb', line 122

def modelmeta
  keys = ::FFI::MemoryPointer.new(:pointer)
  num_keys = ::FFI::MemoryPointer.new(:int64_t)
  description = ::FFI::MemoryPointer.new(:string)
  domain = ::FFI::MemoryPointer.new(:string)
  graph_name = ::FFI::MemoryPointer.new(:string)
  graph_description = ::FFI::MemoryPointer.new(:string)
  producer_name = ::FFI::MemoryPointer.new(:string)
  version = ::FFI::MemoryPointer.new(:int64_t)

  metadata = ::FFI::MemoryPointer.new(:pointer)
  check_status api[:SessionGetModelMetadata].call(read_pointer, metadata)

  custom_metadata_map = {}
  check_status api[:ModelMetadataGetCustomMetadataMapKeys].call(metadata.read_pointer, @allocator.read_pointer, keys, num_keys)
  num_keys.read(:int64_t).times do |i|
    key_ptr = keys.read_pointer[i * ::FFI::Pointer.size]
    key = key_ptr.read_pointer.read_string
    value = ::FFI::MemoryPointer.new(:string)
    check_status api[:ModelMetadataLookupCustomMetadataMap].call(metadata.read_pointer, @allocator.read_pointer, key, value)
    custom_metadata_map[key] = value.read_pointer.read_string

    allocator_free key_ptr
    allocator_free value
  end
  allocator_free keys

  check_status api[:ModelMetadataGetDescription].call(metadata.read_pointer, @allocator.read_pointer, description)
  check_status api[:ModelMetadataGetDomain].call(metadata.read_pointer, @allocator.read_pointer, domain)
  check_status api[:ModelMetadataGetGraphName].call(metadata.read_pointer, @allocator.read_pointer, graph_name)
  check_status api[:ModelMetadataGetGraphDescription].call(metadata.read_pointer, @allocator.read_pointer, graph_description)
  check_status api[:ModelMetadataGetProducerName].call(metadata.read_pointer, @allocator.read_pointer, producer_name)
  check_status api[:ModelMetadataGetVersion].call(metadata.read_pointer, version)

  {
    custom_metadata_map: custom_metadata_map,
    description: description.read_pointer.read_string,
    domain: domain.read_pointer.read_string,
    graph_name: graph_name.read_pointer.read_string,
    graph_description: graph_description.read_pointer.read_string,
    producer_name: producer_name.read_pointer.read_string,
    version: version.read(:int64_t)
  }
ensure
  release :ModelMetadata, metadata
  allocator_free description
  allocator_free domain
  allocator_free graph_name
  allocator_free graph_description
  allocator_free producer_name
end

#providers ⇒ Object

no way to set providers with C API yet so we can return all available providers



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# File 'lib/onnxruntime/inference_session.rb', line 183

def providers
  out_ptr = ::FFI::MemoryPointer.new(:pointer)
  length_ptr = ::FFI::MemoryPointer.new(:int)
  check_status api[:GetAvailableProviders].call(out_ptr, length_ptr)
  length = length_ptr.read_int
  providers = []
  length.times do |i|
    providers << out_ptr.read_pointer[i * ::FFI::Pointer.size].read_pointer.read_string
  end
  api[:ReleaseAvailableProviders].call(out_ptr.read_pointer, length)
  providers
end

#run(output_names, input_feed, log_severity_level: nil, log_verbosity_level: nil, logid: nil, terminate: nil, output_type: :ruby) ⇒ Object

TODO support logid



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# File 'lib/onnxruntime/inference_session.rb', line 87

def run(output_names, input_feed, log_severity_level: nil, log_verbosity_level: nil, logid: nil, terminate: nil, output_type: :ruby)
  # pointer references
  refs = []

  input_tensor = create_input_tensor(input_feed, refs)

  output_names ||= @outputs.map { |v| v[:name] }

  output_tensor = ::FFI::MemoryPointer.new(:pointer, outputs.size)
  input_node_names = create_node_names(input_feed.keys.map(&:to_s), refs)
  output_node_names = create_node_names(output_names.map(&:to_s), refs)

  # run options
  run_options = ::FFI::MemoryPointer.new(:pointer)
  check_status api[:CreateRunOptions].call(run_options)
  check_status api[:RunOptionsSetRunLogSeverityLevel].call(run_options.read_pointer, log_severity_level) if log_severity_level
  check_status api[:RunOptionsSetRunLogVerbosityLevel].call(run_options.read_pointer, log_verbosity_level) if log_verbosity_level
  check_status api[:RunOptionsSetRunTag].call(run_options.read_pointer, logid) if logid
  check_status api[:RunOptionsSetTerminate].call(run_options.read_pointer) if terminate

  check_status api[:Run].call(read_pointer, run_options.read_pointer, input_node_names, input_tensor, input_feed.size, output_node_names, output_names.size, output_tensor)

  output_names.size.times.map do |i|
    create_from_onnx_value(output_tensor[i].read_pointer, output_type)
  end
ensure
  release :RunOptions, run_options
  if input_tensor
    input_feed.size.times do |i|
      release :Value, input_tensor[i]
    end
  end
  # output values released in create_from_onnx_value
end