function stringlengths 11 56k | repo_name stringlengths 5 60 | features list |
|---|---|---|
def test_view_person_othername_list_unauthorized(self):
response = self.client.get("/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/")
self.assertEqual(response.status_code, status.HTTP_200_OK) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_view_person_othername_details_unauthorized(self):
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf76-0782c80297a8/"
)
self.assertEqual(response.status_code, status.HTTP_200_OK) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_view_person_othername_details_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf76... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_othername_unauthorized(self):
data = {
"name": "jane",
"family_name": "jambul",
"given_name": "test person",
"start_date": "1950-01-01",
"end_date": "2010-01-01",
}
response = self.client.post(
"/en/pe... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_othername_unauthorized(self):
data = {
"family_name": "jambul",
}
person = Person.objects.language('en').get(id='8497ba86-7485-42d2-9596-2ab14520f1f4')
other_name = person.other_names.language('en').get(id="cf93e73f-91b6-4fad-bf76-0782c80297a8")
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_othername_authorized(self):
data = {
"family_name": "jambul",
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put(
"/en/persons/8497ba86-748... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_othername_unauthorized(self):
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf76-0782c80297a8/"
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_othername_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf76-07... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_get_person_identifier_link_list_unauthorized(self):
# identifier af7c01b5-1c4f-4c08-9174-3de5ff270bdb
# link 9c9a2093-c3eb-4b51-b869-0d3b4ab281fd
# person 8497ba86-7485-42d2-9596-2ab14520f1f4
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_get_person_identifier_link_detail_unauthorized(self):
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/identifiers/af7c01b5-1c4f-4c08-9174-3de5ff270bdb/links/9c9a2093-c3eb-4b51-b869-0d3b4ab281fd/"
)
self.assertEqual(response.status_code, status.H... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_get_person_identifier_link_detail_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/identifiers/af7c01b5-1c4f-4c08... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_identifier_link_unauthorized(self):
data = {
"url": "http://twitter.com/sinarproject"
}
response = self.client.post(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/identifiers/af7c01b5-1c4f-4c08-9174-3de5ff270bdb/links/",
data
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_identifier_link_unauthorized(self):
data = {
"note":"This is a nested link"
}
response = self.client.put(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/identifiers/af7c01b5-1c4f-4c08-9174-3de5ff270bdb/links/9c9a2093-c3eb-4b51-b869-0d3b4ab281fd/"... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_identifier_link_authorized(self):
data = {
"note":"This is a nested link"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put(
"/en/persons... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_identifier_link_unauthorized(self):
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/identifiers/af7c01b5-1c4f-4c08-9174-3de5ff270bdb/links/9c9a2093-c3eb-4b51-b869-0d3b4ab281fd/"
)
self.assertEqual(response.status_code, status.HT... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_identifier_link_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/identifiers/af7c01b5-1c4f-4c08-... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_list_person_othername_link(self):
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf76-0782c80297a8/links/"
)
self.assertEqual(response.status_code, status.HTTP_200_OK) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_show_person_othername_link_detail(self):
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf76-0782c80297a8/links/4d8d71c4-20ea-4ed1-ae38-4b7d7550cdf6/"
)
self.assertEqual(response.status_code, status.HTTP_200_OK) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_othername_link_authorized(self):
data = {
"url": "http://github.com/sinar"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.post(
"/en/perso... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_othername_link_not_exist_authorized(self):
data = {
"note": "Just a link"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put(
"/en/persons... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_othername_link_authorized(self):
data = {
"note": "Just a link"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put(
"/en/persons/8497ba86-... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_othername_link_not_exist_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_othername_link_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/othernames/cf93e73f-91b6-4fad-bf... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_list_person_contact_link(self):
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/contact_details/2256ec04-2d1d-4994-b1f1-16d3f5245441/links/"
)
self.assertEqual(response.status_code, status.HTTP_200_OK) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_show_person_contact_link(self):
response = self.client.get(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/contact_details/2256ec04-2d1d-4994-b1f1-16d3f5245441/links/6d0afb46-67d4-4708-87c4-4d51ce99767e/"
)
self.assertEqual(response.status_code, status.HTTP_200_OK) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_contact_link_authorized(self):
data = {
"url": "http://github.com/sinar"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.post(
"/en/persons/8... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_contact_link_not_exist_authorized(self):
data = {
"note": "Just a link"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put(
"/en/persons/84... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_contact_link_authorized(self):
data = {
"note": "Just a link"
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put(
"/en/persons/8497ba86-74... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_contact_link_not_exist_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.delete(
"/en/persons/8497ba86-7485-42d2-9596-2ab14520f1f4/contact_details/2256ec04... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_fetch_non_empty_field_person_serializer(self):
person = Person.objects.untranslated().get(id='8497ba86-7485-42d2-9596-2ab14520f1f4')
serializer = PersonSerializer(person, language='en')
data = serializer.data
self.assertEqual(data["name"], "John") | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_fetch_not_empty_relation_person_serializer(self):
person = Person.objects.untranslated().get(id='8497ba86-7485-42d2-9596-2ab14520f1f4')
serializer = PersonSerializer(person, language='en')
data = serializer.data
self.assertTrue(data["other_names"]) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_with_all_field_serializer(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person unit test api",
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_links_person_serializers(self):
person_data = {
"links": [
{
"url": "http://twitter.com/sweemeng",
}
]
}
person = Person.objects.language('en').get(id='ab1a5788e5bae955c048748fa6af0e97')
person_s... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_create_nested_links_persons_serializer(self):
person_data = {
"id":"ab1a5788e5bae955c048748fa6af0e97",
"contact_details":[
{
"id": "a66cb422-eec3-4861-bae1-a64ae5dbde61",
"links": [{
"url": "h... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_identifier_person_serializer(self):
person_data = {
"identifiers": [
{
"scheme": "IC",
"identifier": "129031309",
}
]
}
person = Person.objects.language('en').get(id='ab1a5788e5bae955c... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_contact_person_serializer(self):
person_data = {
"contact_details": [
{
"type":"twitter",
"value": "sinarproject",
}
]
}
person = Person.objects.language('en').get(id='8497ba86-7485-42... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_other_name_person_serializer(self):
person_data = {
"other_names": [
{
"name": "jane",
"family_name": "jambul",
"given_name": "test person",
"start_date": "1950-01-01",
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_invalid_date_serializer(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person unit test api",
"h... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_translated_serializer(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "bukan john doe",
"gender": "tak tahu",
"summary": "orang ujian",
"honorific... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_load_translated_person_membership_organization(self):
person = Person.objects.untranslated().get(id="078541c9-9081-4082-b28f-29cbb64440cb")
person_serializer = PersonSerializer(person, language="ms")
data = person_serializer.data
for membership in data["memberships"]:
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_fetch_person_minimized_serializer(self):
person = Person.objects.untranslated().get(id='8497ba86-7485-42d2-9596-2ab14520f1f4')
person_serializer = MinPersonSerializer(person)
membership_count = person.memberships.count()
self.assertTrue(len(person_serializer.data["memberships"]... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_view_person_list(self):
response = self.client.get("/en/persons/")
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertTrue("page" in response.data)
self.assertEqual(response.data["per_page"], settings.REST_FRAMEWORK["PAGE_SIZE"])
self.assertEqual(respo... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_view_person_detail_not_exist(self):
response = self.client.get("/en/persons/not_exist/")
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_authorized(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person unit test api",
"honorific_pref... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_not_exist_unauthorized(self):
person_data = {
"given_name": "jerry jambul",
}
response = self.client.put("/en/persons/not_exist/", person_data)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_not_exist_authorized(self):
person_data = {
"given_name": "jerry jambul",
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.put("/en/persons/not_exist/", p... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_links_authorized(self):
person_data = {
"links": [
{
"url": "http://twitter.com/sweemeng",
}
]
}
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_person_links_authorized(self):
person_data = {
"id":"ab1a5788e5bae955c048748fa6af0e97",
"links":[
{
"id": "a4ffa24a9ef3cbcb8cfaa178c9329367",
"note": "just a random repo"
}
]
}
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_nested_person_links_authorized(self):
person_data = {
"id":"ab1a5788e5bae955c048748fa6af0e97",
"contact_details":[
{
"id": "a66cb422-eec3-4861-bae1-a64ae5dbde61",
"links": [{
"url": "http://fa... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_nested_person_links_authorized(self):
person_data = {
"id":"8497ba86-7485-42d2-9596-2ab14520f1f4",
"identifiers":[
{
"id": "af7c01b5-1c4f-4c08-9174-3de5ff270bdb",
"links": [{
"id": "9c9a2093-c... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_other_names_authorized(self):
person_data = {
"other_names": [
{
"name": "jane",
"family_name": "jambul",
"given_name": "test person",
"start_date": "1950-01-01",
"end_... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_update_other_names_authorized(self):
person_data = {
"other_names": [
{
"id": "cf93e73f-91b6-4fad-bf76-0782c80297a8",
"family_name": "jambul",
}
]
}
token = Token.objects.get(user__username="... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_not_exist_unauthorized(self):
response = self.client.delete("/en/persons/not_exist/")
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_delete_person_not_exist_authorized(self):
token = Token.objects.get(user__username="admin")
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)
response = self.client.delete("/en/persons/not_exist/")
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_person_api_invalid_date(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person unit test api",
"honorific_prefi... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_authorized_translated(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "bukan john doe",
"gender": "tak tahu",
"summary": "orang ujian",
"honorific... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_identifier_blank_id_authorized(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person unit test api",
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_links_blank_id_authorized(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person unit test api",
... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def test_create_person_with_all_field_birthdate_deathdate_blank_serializer(self):
person_data = {
"name": "joe",
"family_name": "doe",
"given_name": "joe jambul",
"additional_name": "not john doe",
"gender": "unknown",
"summary": "person un... | Sinar/popit_ng | [
21,
4,
21,
91,
1443407491
] |
def world_to_image_projection(p_world, intrinsics, pose_w2c):
"""Project points in the world frame to the image plane.
Args:
p_world: [HEIGHT, WIDTH, 3] points in the world's coordinate frame.
intrinsics: [3, 3] camera's intrinsic matrix.
pose_w2c: [3, 4] camera pose matrix (world to camera).
Return... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def overlap_mask(depth1,
pose1_c2w,
depth2,
pose2_c2w,
intrinsics):
"""Compute the overlap masks of two views using triangulation.
The masks have the same shape of the input images. A pixel value is true if it
can be seen by both cameras.
Arg... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def generate_from_meta(meta_data_path,
pano_data_dir,
pano_height=1024,
pano_width=2048,
output_height=512,
output_width=512):
"""Generate the stereo image dataset from Matterport3D using the meta data.
... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def __init__(self,
reader_class,
common_queue,
num_readers=4,
reader_kwargs=None):
"""ParallelReader creates num_readers instances of the reader_class.
Each instance is created by calling the `reader_class` function passing
the arguments specified... | google-research/tf-slim | [
334,
98,
334,
11,
1561681288
] |
def num_readers(self):
return len(self._readers) | google-research/tf-slim | [
334,
98,
334,
11,
1561681288
] |
def common_queue(self):
return self._common_queue | google-research/tf-slim | [
334,
98,
334,
11,
1561681288
] |
def read_up_to(self, queue, num_records, name=None):
"""Returns up to num_records (key, value pairs) produced by a reader.
Will dequeue a work unit from queue if necessary (e.g., when the
Reader needs to start reading from a new file since it has
finished with the previous file).
It may return less... | google-research/tf-slim | [
334,
98,
334,
11,
1561681288
] |
def num_records_produced(self, name=None):
"""Returns the number of records this reader has produced.
Args:
name: A name for the operation (optional).
Returns:
An int64 Tensor.
"""
num_records = [r.num_records_produced() for r in self._readers]
return math_ops.add_n(num_records, n... | google-research/tf-slim | [
334,
98,
334,
11,
1561681288
] |
def parallel_read(data_sources,
reader_class,
num_epochs=None,
num_readers=4,
reader_kwargs=None,
shuffle=True,
dtypes=None,
capacity=256,
min_after_dequeue=128,
... | google-research/tf-slim | [
334,
98,
334,
11,
1561681288
] |
def device_broadcast(x, num_devices):
"""Broadcast a value to all devices."""
return jax.pmap(lambda _: x)(jnp.arange(num_devices)) | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def batched_loss_fn(model):
"""Apply loss function across a batch of examples."""
loss, metrics = jax.vmap(loss_fn, (None, 0, None))(model, batched_examples,
static_batch_metadata)
return jnp.mean(loss), metrics | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def _build_parallel_train_step():
"""Builds an accelerated version of the train step function."""
# We need to wrap and unwrap so that the final function can be called with
# keyword arguments, but we still maintain the proper axes.
@functools.partial(
jax.pmap,
axis_name="devices",
in_axes=(... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def warmup_train_step(
optimizer,
batched_example,
static_batch_metadata,
loss_fn,
optimizer_is_replicated = False,
profile = False,
runner=None, | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def go():
# Note that value for learning_rate is arbitrary, but we pass it here to
# warm up the jit cache (since we are passing a learning rate at training
# time).
res = parallel_train_step(
replicated_optimizer,
batched_example,
static_batch_metadata,
loss_fn,
... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def build_averaging_validator(
loss_fn,
valid_iterator_factory,
objective_metric_name = None,
include_total_counts = False,
prefetch = True, | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def parallel_metrics_batch(model, batched_examples, batch_mask,
static_metadata):
loss, metrics = jax.vmap(loss_fn, (None, 0, None))(model, batched_examples,
static_metadata)
metrics["loss"] = loss
metrics = jax.tree_map(
... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def __init__(self, spec):
pass | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def default_matrix(self):
"""Returns default matrix for initialization.
Size is taken from spec.
"""
raise NotImplementedError() | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def __init__(self, spec):
"""Initializer.
Args:
spec: hparams object with default value given by
self.get_default_hparams().
"""
super(LowRankDecompMatrixCompressor, self).__init__(spec)
self._spec = spec
self.uncompressed_size = 0
self.compressed_size = 0 | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def get_default_hparams():
"""Get a tf.HParams object with the default values for the hyperparameters.
name: string
name of the low-rank matrix decompressor specification.
rank: integer
rank of the low-rank decomposition that is performed.
compressor_option: integer
indica... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def __init__(self, scope='default_scope', spec=None, global_step=None):
pass | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def get_update_op(self):
"""Update operator.
Returns:
TF operator that implements the update steps that may need to
be applied periodically.
"""
raise NotImplementedError() | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def __init__(self,
scope='default_scope',
spec=None,
global_step=None,
layer=None):
"""Initializer.
Args:
scope: TF scope used for creating new TF variables.
spec: compression hyper parameters default value given by
self.get_defaul... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def get_default_hparams():
"""Get a tf.HParams object with the default values for the hyperparameters.
name: string
name of the compression specification. Used for adding summaries and ops
under a common tensorflow name_scope.
alpha_decrement_value: float
a positive real number ... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def compressed_matmul_keras(self, inputs, training=False):
"""Matmul with a convex combination of original and compressed weights."""
if training:
compressed_mat = self.alpha * self.a_matrix_tfvar + (
1 - self.alpha) * tf.matmul(self.b_matrix_tfvar, self.c_matrix_tfvar)
return tf.matmul(in... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def maybe_update_alpha():
"""Maybe update the alpha param.
Checks if global_step is between begin_compression_step and
end_compression_step, and if the current training step is a
compression step.
Returns:
Boolean tensor whether the training step is a compression step.
"""
... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def compressor_and_alpha_update_op_fn():
return self._compressor_and_alpha_update_op() | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def _compressor_op(self, matrix_compressor, a_matrix_tfvar):
"""Creates compressor op based on matrix_compressor.
Meant to create the factors once at begin_compression_step.
Args:
matrix_compressor: specifies the matrix compressor object.
a_matrix_tfvar: the tf tensor to be compressed.
"""
... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def _compressor_and_alpha_update_op(self):
"""Applies compressor and also updates alpha."""
self._compressor_op(self.matrix_compressor, self.a_matrix_tfvar)
self._update_alpha_op()
self.last_alpha_update_step.assign(tf.cast(self._global_step, tf.int32)) | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def __init__(self, scope, compression_spec, compressor, global_step=None):
"""Initializer.
Args:
scope: TF scope used for creating new TF variables.
compression_spec: compression hyper parameters.
compressor: matrix compressor object of class MatrixCompressorInferface.
global_step: tf v... | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def get_operator_hparam(self, hparam):
"""Returns the value of queried hparam of the compression operator."""
return self._compression_op_spec.get(hparam) | google-research/google-research | [
27788,
6881,
27788,
944,
1538678568
] |
def random_part_lens(max_n_parts, max_part_size):
return tuple(random.randint(1, max_part_size) for _ in range(random.randint(1, max_n_parts))) | quantumlib/Cirq | [
3678,
836,
3678,
314,
1513294909
] |
def test_shift_swap_network_gate_acquaintance_opps(left_part_lens, right_part_lens):
gate = cca.ShiftSwapNetworkGate(left_part_lens, right_part_lens)
n_qubits = gate.qubit_count()
qubits = cirq.LineQubit.range(n_qubits)
strategy = cirq.Circuit(gate(*qubits))
# actual_opps
initial_mapping = {q:... | quantumlib/Cirq | [
3678,
836,
3678,
314,
1513294909
] |
def test_shift_swap_network_gate_diagrams(left_part_lens, right_part_lens):
gate = cca.ShiftSwapNetworkGate(left_part_lens, right_part_lens)
n_qubits = gate.qubit_count()
qubits = cirq.LineQubit.range(n_qubits)
circuit = cirq.Circuit(gate(*qubits))
diagram = circuit_diagrams['undecomposed', left_p... | quantumlib/Cirq | [
3678,
836,
3678,
314,
1513294909
] |
def test_shift_swap_network_gate_repr(left_part_lens, right_part_lens):
gate = cca.ShiftSwapNetworkGate(left_part_lens, right_part_lens)
cirq.testing.assert_equivalent_repr(gate)
gate = cca.ShiftSwapNetworkGate(left_part_lens, right_part_lens, cirq.ZZ)
cirq.testing.assert_equivalent_repr(gate) | quantumlib/Cirq | [
3678,
836,
3678,
314,
1513294909
] |
def _read_proto_file(filename, proto):
filename = filename # OSS: removed internal filename loading.
with tf.io.gfile.GFile(filename, 'r') as proto_file:
return text_format.ParseLines(proto_file, proto) | google-research/deeplab2 | [
878,
146,
878,
24,
1620859177
] |
def test_resnet50_encoder_creation(self):
backbone_options = config_pb2.ModelOptions.BackboneOptions(
name='resnet50', output_stride=32)
encoder = builder.create_encoder(
backbone_options,
tf.keras.layers.experimental.SyncBatchNormalization)
self.assertIsInstance(encoder, axial_resne... | google-research/deeplab2 | [
878,
146,
878,
24,
1620859177
] |
def test_mobilenet_encoder_creation(self, model_name):
backbone_options = config_pb2.ModelOptions.BackboneOptions(
name=model_name, use_squeeze_and_excite=True, output_stride=32)
encoder = builder.create_encoder(
backbone_options,
tf.keras.layers.experimental.SyncBatchNormalization)
... | google-research/deeplab2 | [
878,
146,
878,
24,
1620859177
] |
def test_decoder_creation(self):
proto_filename = os.path.join(
_CONFIG_PATH, 'example_kitti-step_motion_deeplab.textproto')
model_options = _read_proto_file(proto_filename, config_pb2.ModelOptions())
motion_decoder = builder.create_decoder(
model_options, tf.keras.layers.experimental.SyncBa... | google-research/deeplab2 | [
878,
146,
878,
24,
1620859177
] |
def _cfg(url='', **kwargs):
return {
'url': url,
'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': None,
'crop_pct': .96, 'interpolation': 'bicubic',
'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD, 'classifier': 'head',
'first_conv': 'stem.0',
... | rwightman/pytorch-image-models | [
23978,
3956,
23978,
96,
1549086672
] |
def __init__(self, fn):
super().__init__()
self.fn = fn | rwightman/pytorch-image-models | [
23978,
3956,
23978,
96,
1549086672
] |
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