Add more outside compilation tests including multiple clusters and more variety of inputs/outputs.

PiperOrigin-RevId: 317200078
Change-Id: Id26e99059097073299ef5f681fae053b082ec149
This commit is contained in:
Ken Franko 2020-06-18 16:02:51 -07:00 committed by TensorFlower Gardener
parent 8d34408863
commit 67544cd4bb

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@ -18,13 +18,18 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import numpy as np
from tensorflow.python.distribute import tpu_strategy as tpu_lib
from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
from tensorflow.python.eager import def_function
from tensorflow.python.eager import remote
from tensorflow.python.eager import test
from tensorflow.python.framework import constant_op
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import logging_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import flags
from tensorflow.python.tpu import tpu
@ -52,7 +57,7 @@ def get_tpu_strategy():
return tpu_lib.TPUStrategy(resolver)
class TpuOutsideCompilationTest(test.TestCase):
class TpuOutsideCompilationTest(test.TestCase, parameterized.TestCase):
def testResourceVariableAssignOnHost(self):
strategy = get_tpu_strategy()
@ -79,6 +84,26 @@ class TpuOutsideCompilationTest(test.TestCase):
self.assertAllEqual(4.0 * strategy.num_replicas_in_sync, v2.numpy())
self.assertAllEqual(5.0, v.numpy())
def testHostNoInput(self):
strategy = get_tpu_strategy()
def outside_fn():
logging_ops.print_v2("Outside compiled")
@def_function.function
def train_step():
def tpu_fn(x):
x2 = x + 5.0
tpu.outside_compilation(outside_fn)
return x2 + 5.0
return strategy.run(tpu_fn, args=(25.0,))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(35., shape=(strategy.num_replicas_in_sync)))
def testHostInputOnly(self):
strategy = get_tpu_strategy()
@ -120,13 +145,71 @@ class TpuOutsideCompilationTest(test.TestCase):
strategy.experimental_local_results(train_step()),
constant_op.constant(36., shape=(strategy.num_replicas_in_sync)))
def testOutsideCompilationControlFlowIf(self):
def testHostMultipleInputs(self):
strategy = get_tpu_strategy()
val0 = np.arange(6).reshape((2, 3)).astype(np.float32)
val1 = np.arange(6).reshape((3, 2)).astype(np.float32)
def outside_fn(arg0, arg1):
tmp = array_ops.reshape(arg1, array_ops.shape(arg0))
ret0 = arg0 + tmp
ret1 = math_ops.matmul(arg0, arg1)
ret2 = array_ops.concat([arg0, tmp], 0)
return ret0, ret1, ret2
@def_function.function
def train_step():
def tpu_fn(x, y):
a = x + 7.0
b = y * 2.0
c, d, e = tpu.outside_compilation(outside_fn, a, b)
return (math_ops.reduce_max(c) + math_ops.reduce_min(d) +
math_ops.reduce_sum(e))
return strategy.run(tpu_fn, args=(val0, val1))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(213., shape=(strategy.num_replicas_in_sync)))
def testMultipleClusters(self):
strategy = get_tpu_strategy()
def outside_fn1(x):
logging_ops.print_v2("Outside compiled", x)
return x + 6.0
def outside_fn2(x):
logging_ops.print_v2("Outside compiled", x)
return x - 18.0
@def_function.function
def train_step():
def tpu_fn(x):
x2 = x + 5.0
output1 = tpu.outside_compilation(outside_fn1, x2)
x3 = output1 + 3.0
output2 = tpu.outside_compilation(outside_fn2, x3)
return output2
return strategy.run(tpu_fn, args=(25.0,))
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(21., shape=(strategy.num_replicas_in_sync)))
@parameterized.parameters((True), (False))
def testOutsideCompilationControlFlowIf(self, take_true_branch):
strategy = get_tpu_strategy()
def outside_fn(x):
logging_ops.print_v2("Outside compiled", x)
return x + 6.0
input_value = 51.0 if take_true_branch else 25.0
@def_function.function
def train_step():
@ -137,11 +220,15 @@ class TpuOutsideCompilationTest(test.TestCase):
else:
return x2
return strategy.run(tpu_fn, args=(25.0,))
return strategy.run(tpu_fn, args=(input_value,))
output_value = 36.0
if take_true_branch:
output_value = 56.0
self.assertAllEqual(
strategy.experimental_local_results(train_step()),
constant_op.constant(36., shape=(strategy.num_replicas_in_sync)))
constant_op.constant(
output_value, shape=(strategy.num_replicas_in_sync)))
def testOutsideCompilationControlFlowWhile(self):
strategy = get_tpu_strategy()