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Function _convert_select

tensorflow/python/ops/parallel_for/pfor.py:2500–2516  ·  view source on GitHub ↗
(pfor_input)

Source from the content-addressed store, hash-verified

2498
2499@RegisterPFor("Select")
2500def _convert_select(pfor_input):
2501 pfor_input.stack_inputs()
2502 cond = pfor_input.stacked_input(0)
2503 t = pfor_input.stacked_input(1)
2504 e = pfor_input.stacked_input(2)
2505 cond_rank = array_ops.rank(cond)
2506 cond, t, e = control_flow_ops.cond(
2507 cond_rank > 1, lambda: _inputs_with_flattening(pfor_input, [0, 1, 2]),
2508 lambda: [cond, t, e])
2509 outputs = _create_op(
2510 pfor_input.op_type, [cond, t, e], [x.dtype for x in pfor_input.outputs],
2511 attrs=pfor_input.op.node_def.attr).outputs
2512 n = pfor_input.pfor.loop_len_vector
2513 out = control_flow_ops.cond(cond_rank > 1,
2514 lambda: _unflatten_first_dim(outputs[0], n),
2515 lambda: outputs[0])
2516 return [wrap(out, True) for x in outputs]
2517
2518
2519@RegisterPFor("SelectV2")

Callers

nothing calls this directly

Calls 8

_inputs_with_flatteningFunction · 0.85
_create_opFunction · 0.85
_unflatten_first_dimFunction · 0.85
stack_inputsMethod · 0.80
stacked_inputMethod · 0.80
wrapFunction · 0.70
rankMethod · 0.45
condMethod · 0.45

Tested by

no test coverage detected