rocm_jax/tests/compilation_cache_test.py

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# Copyright 2021 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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from functools import partial
import math
import os
import tempfile
from collections import Counter
from unittest import mock
from unittest import SkipTest
import warnings
from absl.testing import absltest
import jax
from jax import jit
from jax import lax
from jax import pmap
from jax._src import compilation_cache as cc
from jax._src import compiler
from jax._src import config
from jax._src import monitoring
from jax._src import test_util as jtu
from jax._src import xla_bridge
from jax._src.lib import xla_client
from jax.experimental.maps import xmap
from jax.experimental.pjit import pjit
from jax.sharding import PartitionSpec as P
import numpy as np
config.parse_flags_with_absl()
FAKE_COMPILE_TIME = 10
_counts = Counter() # Map event name to count
def setUpModule():
monitoring.register_event_listener(increment_event_count)
def tearDownModule():
monitoring._unregister_event_listener_by_callback(increment_event_count)
def increment_event_count(event):
_counts[event] += 1
@jtu.with_config(
jax_raise_persistent_cache_errors=True,
jax_persistent_cache_min_compile_time_secs=0,
)
class CompilationCacheTest(jtu.JaxTestCase):
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def setUp(self):
super().setUp()
supported_platforms = ["tpu", "gpu"]
if "--xla_cpu_use_xla_runtime=true" in os.environ.get("XLA_FLAGS", ""):
supported_platforms.append("cpu")
if not jtu.test_device_matches(supported_platforms):
raise SkipTest(
"serialize executable only works on " + ",".join(supported_platforms)
)
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# Reset cache if already initialized by JaxTestCase
if cc.is_initialized():
cc.reset_cache()
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def tearDown(self):
if cc.is_initialized():
cc.reset_cache()
super().tearDown()
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def test_get_no_executable(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
computation = jax.jit(lambda x, y: x + y).lower(1, 1).compiler_ir()
devices = np.array([[jax.local_devices()[0]]])
compile_options = compiler.get_compile_options(
num_replicas=1, num_partitions=1
)
backend = xla_bridge.get_backend()
key = cc.get_cache_key(computation, devices, compile_options, backend)
executable, compile_time = cc.get_executable_and_time(
key, compile_options, backend)
self.assertIsNone(executable)
self.assertIsNone(compile_time)
def test_diff_executables(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
computation1 = str(jax.jit(lambda x, y: x + y).lower(1, 1).compiler_ir())
computation2 = str(jax.jit(lambda x, y: x * y).lower(2, 2).compiler_ir())
compile_options = compiler.get_compile_options(
num_replicas=1, num_partitions=1
)
backend = xla_bridge.get_backend()
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executable1 = backend.compile(computation1, compile_options)
executable2 = backend.compile(computation2, compile_options)
cc.put_executable_and_time(
"key1", "computation1", executable1, backend, FAKE_COMPILE_TIME)
cc.put_executable_and_time(
"key2", "computation2", executable2, backend, FAKE_COMPILE_TIME)
self.assertNotEqual(
cc.get_executable_and_time("key1", compile_options, backend)[0],
cc.get_executable_and_time("key2", compile_options, backend)[0]
)
def test_put_executable(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
computation = (
jax.jit(lambda x, y: x + y)
.lower(np.int32(1), np.int32(1))
.compiler_ir()
)
devices = np.array([[jax.local_devices()[0]]])
compile_options = compiler.get_compile_options(
num_replicas=1, num_partitions=1
)
backend = xla_bridge.get_backend()
executable = backend.compile(str(computation), compile_options)
key = cc.get_cache_key(computation, devices, compile_options, backend)
cc.put_executable_and_time(
key, "alambda", executable, backend, FAKE_COMPILE_TIME)
executable_retrieved, compile_time_retrieved = cc.get_executable_and_time(
key, compile_options, backend)
inputs_to_executable = (
np.array(1, dtype=np.int32),
np.array(2, dtype=np.int32),
)
expected = xla_client.execute_with_python_values(
executable, inputs_to_executable, backend
)
actual = xla_client.execute_with_python_values(
executable_retrieved, inputs_to_executable, backend
)
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self.assertEqual(expected, actual)
self.assertEqual(FAKE_COMPILE_TIME, compile_time_retrieved)
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def test_pmap(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
f = pmap(lambda x: x - lax.psum(x, "i"), axis_name="i")
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x = np.arange(jax.device_count(), dtype=np.int64)
f(x)
files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 1)
x = np.arange(jax.device_count(), dtype=np.float32)
f(x)
files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 2)
# TODO: create a test for calling pmap with the same input more than once
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def test_jit(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
f = jit(lambda x: x * x)
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f(1)
files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 1)
f(1.0)
files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 2)
@jtu.with_mesh([("x", 2)])
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def test_pjit(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
@partial(pjit, in_shardings=(P("x"), P("x")), out_shardings=None)
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def f(x, y):
return x + y
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shape = (8, 8)
x = np.arange(math.prod(shape), dtype=np.int64).reshape(shape)
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f(x, x + 1)
files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 1)
x = np.arange(math.prod(shape), dtype=np.float32).reshape(shape)
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f(x, x + 1)
files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 2)
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@jtu.with_mesh([("x", 2)])
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def test_xmap(self):
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with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
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def f(x):
return x * 2
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devices = np.array(jax.local_devices()[:2])
if devices.size < 2:
raise SkipTest("Test requires 2 devices")
x = np.arange(8, dtype=np.int64).reshape((2, 2, 2))
xmap(
f, in_axes=["a", ...], out_axes=["a", ...], axis_resources={"a": "x"}
)(x)
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files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 1)
x = np.arange(8, dtype=np.float32).reshape((2, 2, 2))
xmap(
f, in_axes=["a", ...], out_axes=["a", ...], axis_resources={"a": "x"}
)(x)
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files_in_directory = len(os.listdir(tmpdir))
self.assertEqual(files_in_directory, 2)
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def test_cache_write_warning(self):
with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
f = jit(lambda x: x * x)
with (
config.raise_persistent_cache_errors(False),
mock.patch.object(cc._cache.__class__, "put") as mock_put,
warnings.catch_warnings(record=True) as w,
):
mock_put.side_effect = RuntimeError("test error")
self.assertEqual(f(2), 4)
self.assertLen(w, 1)
self.assertIn(
(
"Error writing persistent compilation cache entry "
"for 'jit__lambda_': RuntimeError: test error"
),
str(w[0].message),
)
def test_cache_read_warning(self):
with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
f = jit(lambda x: x * x)
with (
config.raise_persistent_cache_errors(False),
mock.patch.object(cc._cache.__class__, "get") as mock_get,
warnings.catch_warnings(record=True) as w,
):
mock_get.side_effect = RuntimeError("test error")
self.assertEqual(f(2), 4)
if len(w) > 1:
print("Warnings:", [str(w_) for w_ in w], flush=True)
self.assertLen(w, 1)
self.assertIn(
(
"Error reading persistent compilation cache entry "
"for 'jit__lambda_': RuntimeError: test error"
),
str(w[0].message),
)
Add new config `jax_persistent_cache_min_compile_time_secs`. This replaces `jax_persistent_cache_min_instruction_count` introduced in https://github.com/google/jax/pull/12798, since gating on the compile time seems strictly better than gating on the instruction count (except maybe that the instruction count is more deterministic, but I don't think that's a big deal). I defaulted to 1 second as the minimum threshold based on the same flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) numbers from name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new float config functionality.
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def test_min_compile_time(self):
with (
tempfile.TemporaryDirectory() as tmpdir,
config.persistent_cache_min_compile_time_secs(2),
):
Add new config `jax_persistent_cache_min_instruction_count`. This can be used to limit the number of entries written to the persistent compilation cache. I defaulted to setting 6 as the minimum threshold based on running the flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) and logging the instruction counts and complilation time: name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new int config functionality. Fixes #12583
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cc.initialize_cache(tmpdir)
Add new config `jax_persistent_cache_min_compile_time_secs`. This replaces `jax_persistent_cache_min_instruction_count` introduced in https://github.com/google/jax/pull/12798, since gating on the compile time seems strictly better than gating on the instruction count (except maybe that the instruction count is more deterministic, but I don't think that's a big deal). I defaulted to 1 second as the minimum threshold based on the same flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) numbers from name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new float config functionality.
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# Mock time to progress in small intervals so compilation time is small.
with mock.patch("time.monotonic", side_effect=np.arange(0, 10, 0.1)):
Add new config `jax_persistent_cache_min_compile_time_secs`. This replaces `jax_persistent_cache_min_instruction_count` introduced in https://github.com/google/jax/pull/12798, since gating on the compile time seems strictly better than gating on the instruction count (except maybe that the instruction count is more deterministic, but I don't think that's a big deal). I defaulted to 1 second as the minimum threshold based on the same flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) numbers from name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new float config functionality.
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jit(lambda x: x + 1)(1)
Add new config `jax_persistent_cache_min_instruction_count`. This can be used to limit the number of entries written to the persistent compilation cache. I defaulted to setting 6 as the minimum threshold based on running the flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) and logging the instruction counts and complilation time: name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new int config functionality. Fixes #12583
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files_in_cache = len(os.listdir(tmpdir))
self.assertEqual(files_in_cache, 0)
Add new config `jax_persistent_cache_min_compile_time_secs`. This replaces `jax_persistent_cache_min_instruction_count` introduced in https://github.com/google/jax/pull/12798, since gating on the compile time seems strictly better than gating on the instruction count (except maybe that the instruction count is more deterministic, but I don't think that's a big deal). I defaulted to 1 second as the minimum threshold based on the same flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) numbers from name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new float config functionality.
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# Mock time to progress in large intervals so compilation time is large.
with mock.patch("time.monotonic", side_effect=np.arange(0, 100, 10)):
jit(lambda x: x + 2)(1)
Add new config `jax_persistent_cache_min_instruction_count`. This can be used to limit the number of entries written to the persistent compilation cache. I defaulted to setting 6 as the minimum threshold based on running the flax wmt example (https://github.com/google/flax/tree/main/examples/wmt) and logging the instruction counts and complilation time: name | instruction_count | compile_time_secs ---- | ----------------- | ----------------- `broadcast_in_dim` | 2 | 0.01633763313 `convert_element_type` | 2 | 0.01704716682 `reshape` | 2 | 0.01730203629 `_squareit` | 2 | 0.01730823517 `broadcast_in_dim` | 2 | 0.0182030201 `convert_element_type` | 2 | 0.01982188225 `concatenate` | 2 | 0.02102327347 `true_divide` | 2 | 0.02172231674 `broadcast_in_dim` | 2 | 0.02370619774 `broadcast_in_dim` | 2 | 0.02393102646 `broadcast_in_dim` | 2 | 0.02488565445 `broadcast_in_dim` | 2 | 0.03395628929 `broadcast_in_dim` | 2 | 0.03428125381 `broadcast_in_dim` | 2 | 0.0394551754 `shift_right_logical` | 2 | 0.06500506401 `<lambda>` | 3 | 0.01793265343 `_unstack` | 5 | 0.01975226402 `_reduce_sum` | 5 | 0.0210878849 `_reduce_sum` | 5 | 0.02416801453 `_multi_slice` | 9 | 0.09065580368 `_threefry_split` | 232 | 0.09037566185 `_threefry_split` | 232 | 0.09161829948 `<unnamed wrapped function>` | 2668 | 7.701903343 `<unnamed wrapped function>` | 3455 | 17.57672167 `<unnamed wrapped function>` | 46580 | 166.2570884 `init` | 60361 | 26.35722399 `<unnamed wrapped function>` | 78010 | 3.879326344 Also adds new int config functionality. Fixes #12583
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files_in_cache = len(os.listdir(tmpdir))
self.assertEqual(files_in_cache, 1)
def test_cache_saving_metric(self):
with (
tempfile.TemporaryDirectory() as tmpdir,
config.persistent_cache_min_compile_time_secs(2),
):
cc.initialize_cache(tmpdir)
durations = Counter() # Map metric name to time duration.
def append_metric_duration(metric, duration):
durations[metric] += duration
with jtu.register_event_duration_listener(append_metric_duration):
# Mock time to create a short compilation time, no cache saved, no cache
# hit, no metric recorded.
with mock.patch("time.monotonic", side_effect=np.arange(0, 1, 0.1)):
jit(lambda x: x + 1)(1)
jit(lambda x: x + 1)(1)
self.assertNotIn(
"/jax/compilation_cache/cache_retrieval_time_sec", durations)
self.assertNotIn(
"/jax/compilation_cache/original_compile_time_saved_sec", durations)
# Mock time to create a long compilation time, metrics incremented with
# a cache hit.
with mock.patch("time.monotonic", side_effect=np.arange(0, 100, 10)):
jit(lambda x: x + 2)(1)
jit(lambda x: x + 2)(1)
self.assertGreater(
durations["/jax/compilation_cache/cache_retrieval_time_sec"], 0)
self.assertGreater(
durations["/jax/compilation_cache/original_compile_time_saved_sec"],
0)
def test_task_using_original_cache_metric(self):
with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
jit(lambda x: x + 1)(1)
self.assertEqual(
_counts['/jax/compilation_cache/tasks_using_cache'], 1)
# Verify that the count is incremented only once per task.
cc.reset_cache()
cc.initialize_cache(tmpdir)
jit(lambda x: x + 3)(3)
self.assertEqual(
_counts['/jax/compilation_cache/tasks_using_cache'], 1)
def test_compile_requests_use_cache_metric(self):
previous_counts = Counter(_counts)
with tempfile.TemporaryDirectory() as tmpdir:
cc.initialize_cache(tmpdir)
jit(lambda x: x + 1)(1)
jit(lambda x: x + 2)(1)
jit(lambda x: x + 1)(1)
self.assertEqual(
_counts["/jax/compilation_cache/compile_requests_use_cache"]
- previous_counts["/jax/compilation_cache/compile_requests_use_cache"],
3)
def test_cache_misses_metric(self):
previous_counts = Counter(_counts)
with (
tempfile.TemporaryDirectory() as tmpdir,
config.persistent_cache_min_compile_time_secs(2),
):
cc.initialize_cache(tmpdir)
# Mock time to create a long compilation time and make cache misses.
with mock.patch("time.monotonic", side_effect=np.arange(0, 100, 10)):
jit(lambda x: x + 1)(1)
jit(lambda x: x + 2)(1)
self.assertEqual(
_counts["/jax/compilation_cache/cache_misses"]
- previous_counts["/jax/compilation_cache/cache_misses"],
2)
def test_cache_hits_original_metric(self):
previous_counts = Counter(_counts)
with (
tempfile.TemporaryDirectory() as tmpdir,
config.persistent_cache_min_compile_time_secs(2),
config.use_original_compilation_cache_key_generation(True),
):
cc.initialize_cache(tmpdir)
# Mock time to create a long compilation time, cache saved.
with mock.patch("time.monotonic", side_effect=np.arange(0, 100, 10)):
jit(lambda x: x + 1)(1)
jit(lambda x: x + 1)(1)
self.assertEqual(
_counts["/jax/compilation_cache/cache_hits_original"]
- previous_counts["/jax/compilation_cache/cache_hits_original"],
1)
if __name__ == "__main__":
absltest.main(testLoader=jtu.JaxTestLoader())