Class: TensorStream::Evaluator::RubyEvaluator
- Inherits:
-
BaseEvaluator
- Object
- BaseEvaluator
- TensorStream::Evaluator::RubyEvaluator
- Includes:
- ArrayOps, ArrayOpsHelper, CheckOps, ImagesOps, MathHelper, MathOps, NNOps, OpHelper, RandomOps
- Defined in:
- lib/tensor_stream/evaluator/ruby_evaluator.rb
Overview
PURE ruby evaluator used for testing and development
Instance Attribute Summary collapse
-
#retain ⇒ Object
Returns the value of attribute retain.
Instance Method Summary collapse
- #complete_eval(tensor, context) ⇒ Object
- #run(tensor, execution_context) ⇒ Object
- #run_with_buffer(tensor, context, execution_context) ⇒ Object
Methods included from CheckOps
Methods included from ImagesOps
Methods included from RandomOps
Methods included from ArrayOps
Methods included from NNOps
Methods included from MathOps
Methods included from MathHelper
Methods included from ArrayOpsHelper
#_reduced_shape, #arr_pad, #broadcast, #broadcast_dimensions, #deep_dup_array, #gather, #get_rank, #last_axis, #process_function_op, #reduce, #reduce_axis, #shape_diff, #slice_tensor, #softmax, #softmax_grad, #split_tensor, #tile_arr, #transpose_with_perm, #truncate, #vector_op
Methods included from OpHelper
#_op, #cons, #format_source, #fp_type?, #i_cons, #i_op, #i_var, #int_type?, #reduced_shape, #shape_eval, #shape_full_specified, #shapes_fully_specified_and_equal
Methods inherited from BaseEvaluator
default_device, fetch_device, #initialize, #invoke, ops, query_device, query_supported_devices, register_op
Constructor Details
This class inherits a constructor from TensorStream::Evaluator::BaseEvaluator
Instance Attribute Details
#retain ⇒ Object
Returns the value of attribute retain.
33 34 35 |
# File 'lib/tensor_stream/evaluator/ruby_evaluator.rb', line 33 def retain @retain end |
Instance Method Details
#complete_eval(tensor, context) ⇒ Object
69 70 71 72 73 74 75 76 77 78 79 80 81 |
# File 'lib/tensor_stream/evaluator/ruby_evaluator.rb', line 69 def complete_eval(tensor, context) Kernel.loop do old_tensor = tensor tensor = run(tensor, context) tensor = tensor.map { |t| complete_eval(t, context) } if tensor.is_a?(Array) && !tensor.empty? && tensor[0].is_a?(Tensor) break if old_tensor.equal?(tensor) break unless tensor.is_a?(Tensor) end tensor.is_a?(OutputGroup) ? tensor.outputs[0] : tensor end |
#run(tensor, execution_context) ⇒ Object
45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
# File 'lib/tensor_stream/evaluator/ruby_evaluator.rb', line 45 def run(tensor, execution_context) return tensor.map { |t| run(t, execution_context) } if tensor.is_a?(Array) && !tensor.empty? && tensor[0].is_a?(Tensor) tensor = tensor.call if tensor.is_a?(Proc) child_context = execution_context.dup res = if tensor.is_a?(Operation) eval_operation(tensor, child_context) elsif !tensor.is_a?(Tensor) tensor else tensor.op end execution_context.deep_merge!(returns: child_context[:returns]) res end |
#run_with_buffer(tensor, context, execution_context) ⇒ Object
62 63 64 65 66 67 |
# File 'lib/tensor_stream/evaluator/ruby_evaluator.rb', line 62 def run_with_buffer(tensor, context, execution_context) @context = context @context[:_cache][:_cl_buffers] ||= {} if context[:_cache] result = run(tensor, execution_context) TensorStream::Buffer.new(data_type: tensor.data_type, buffer: result) end |