Class: TensorStream::Session
- Inherits:
-
Object
- Object
- TensorStream::Session
show all
- Includes:
- StringHelper
- Defined in:
- lib/tensor_stream/session.rb
Overview
TensorStream class that defines a session
Instance Attribute Summary collapse
Class Method Summary
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Instance Method Summary
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#camelize, #constantize, #symbolize_keys, #underscore
Constructor Details
#initialize(evaluator = nil, thread_pool_class: Concurrent::ImmediateExecutor, log_device_placement: false, profile_enabled: false, evaluator_options: {}) ⇒ Session
Returns a new instance of Session.
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# File 'lib/tensor_stream/session.rb', line 9
def initialize(evaluator = nil, thread_pool_class: Concurrent::ImmediateExecutor, log_device_placement: false, profile_enabled: false, evaluator_options: {})
@thread_pool = thread_pool_class.new
@closed = false
@session_cache = {}
@randomizer = {}
@log_device_placement = log_device_placement
@evaluator_options = evaluator_options.merge(profile_enabled: profile_enabled)
get_evaluator_classes(evaluator)
@evaluators = {}
end
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Instance Attribute Details
#closed ⇒ Object
Returns the value of attribute closed.
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# File 'lib/tensor_stream/session.rb', line 6
def closed
@closed
end
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#last_session_context ⇒ Object
Returns the value of attribute last_session_context.
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# File 'lib/tensor_stream/session.rb', line 6
def last_session_context
@last_session_context
end
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#randomizer ⇒ Object
Returns the value of attribute randomizer.
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# File 'lib/tensor_stream/session.rb', line 7
def randomizer
@randomizer
end
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#session_cache ⇒ Object
Returns the value of attribute session_cache.
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# File 'lib/tensor_stream/session.rb', line 6
def session_cache
@session_cache
end
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#target ⇒ Object
Returns the value of attribute target.
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# File 'lib/tensor_stream/session.rb', line 6
def target
@target
end
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Class Method Details
.default_session ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 38
def self.default_session
@session ||= Session.new
end
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Instance Method Details
#assign_evaluator(tensor) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 143
def assign_evaluator(tensor)
device = @evaluator_classes.map { |klass|
next nil if tensor.is_a?(Operation) && !klass.ops.include?(tensor.operation.to_sym)
next klass.default_device if tensor.device.nil?
klass.query_device(tensor.device)
}.compact.first
raise "no evaluator available to execute #{tensor.operation}" if device.nil?
key = "#{device.evaluator}/#{device.name}"
if @evaluators.key?(key)
@evaluators[key]
else
@evaluators[key] = [device, device.evaluator.new(self, device)]
end
end
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#clear_session_cache ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 34
def clear_session_cache
@session_cache = {}
end
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#close ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 100
def close
@closed = true
end
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#closed? ⇒ Boolean
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# File 'lib/tensor_stream/session.rb', line 104
def closed?
@closed
end
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#delegate_to_evaluator(tensor_arr, session_context, context) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 129
def delegate_to_evaluator(tensor_arr, session_context, context)
if tensor_arr.is_a?(Array)
tensor_arr.collect do |tensor|
if tensor.is_a?(Array)
delegate_to_evaluator(tensor, session_context, context)
else
run_with_session_context(tensor, session_context, context)
end
end
else
run_with_session_context(tensor_arr.op, session_context, context)
end
end
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#dump_internal_ops(tensor) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 108
def dump_internal_ops(tensor)
dump_ops(tensor, ->(_k, n) { n.is_a?(Tensor) && n.internal? })
end
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#dump_ops(tensor, selector) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 116
def dump_ops(tensor, selector)
graph = tensor.graph
graph.nodes.select { |k, v| selector.call(k, v) }.collect { |k, node|
next unless @last_session_context[node.name]
"#{k} #{node.to_math(true, 1)} = #{@last_session_context[node.name]}"
}.compact
end
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#dump_user_ops(tensor) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 112
def dump_user_ops(tensor)
dump_ops(tensor, ->(_k, n) { n.is_a?(Tensor) && !n.internal? })
end
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#get_evaluator_classes(evaluators) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 20
def get_evaluator_classes(evaluators)
@evaluator_classes = if evaluators.is_a?(Array)
if evaluators.empty?
TensorStream::Evaluator.default_evaluators
else
evaluators.collect { |name| Object.const_get("TensorStream::Evaluator::#{camelize(name.to_s)}") }
end
elsif evaluators.nil?
TensorStream::Evaluator.default_evaluators
else
[Object.const_get("TensorStream::Evaluator::#{camelize(evaluators.to_s)}")]
end
end
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#graph_ml(tensor, filename) ⇒ Object
#list_devices ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 92
def list_devices
TensorStream::Evaluator.evaluators.collect { |_k, v|
v[:class].query_supported_devices.collect do |device|
device
end
}.flatten
end
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#run(*args) ⇒ Object
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# File 'lib/tensor_stream/session.rb', line 42
def run(*args)
options = if args.last.is_a?(Hash)
args.pop
else
{}
end
@evaluator_options[:thread_pool] = @thread_pool
@evaluator_options[:log_intermediates] = options[:log_intermediates]
context = {
_cache: @session_cache,
_options: options.merge(@evaluator_options),
profile: {step: 0, operations: {}},
}
options[:feed_dict]&.each_key do |k|
if k.is_a?(Placeholder)
context[k.name.to_sym] = options[:feed_dict][k]
elsif k.is_a?(String)
target_graph = args[0].graph
node = target_graph.get_node(k)
raise "Cannot find placeholder with the name of #{k}" if node.operation != :placeholder
context[k.to_sym] = options[:feed_dict][k]
elsif k.is_a?(Operation) && k.operation == :placeholder
context[k.name.to_sym] = options[:feed_dict][k]
else
raise "Invalid placeholder type passed key must be a string or a placeholder type"
end
end
args.each { |t| prepare_evaluators(t, context) }
@last_session_context = context
if @log_device_placement
context[:_cache][:placement].each do |k, v|
puts "#{k} : #{v[0].name}"
end
end
result = args.collect { |e|
next e.value if e.is_a?(Tensor) && e.is_const && e.value
value = delegate_to_evaluator(e, context, {})
recursive_eval(value)
}
args.size == 1 ? result.first : result
end
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