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streaming/src/runtime_context.h | C/C++ Header | #ifndef RAY_STREAMING_H
#define RAY_STREAMING_H
#include <string>
#include "config/streaming_config.h"
#include "status.h"
namespace ray {
namespace streaming {
enum class RuntimeStatus : uint8_t { Init = 0, Running = 1, Interrupted = 2 };
#define RETURN_IF_NOT_OK(STATUS_EXP) \
{ ... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/status.h | C/C++ Header | #ifndef RAY_STREAMING_STATUS_H
#define RAY_STREAMING_STATUS_H
#include <ostream>
#include <sstream>
#include <string>
namespace ray {
namespace streaming {
enum class StreamingStatus : uint32_t {
OK = 0,
ReconstructTimeOut = 1,
QueueIdNotFound = 3,
ResubscribeFailed = 4,
EmptyRingBuffer = 5,
FullChannel =... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/message_serialization_tests.cc | C++ | #include <cstring>
#include <string>
#include "gtest/gtest.h"
#include "message/message.h"
#include "message/message_bundle.h"
using namespace ray;
using namespace ray::streaming;
TEST(StreamingSerializationTest, streaming_message_serialization_test) {
uint8_t data[] = {9, 1, 3};
StreamingMessagePtr message =
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/mock_actor.cc | C++ | #define BOOST_BIND_NO_PLACEHOLDERS
#include "ray/core_worker/context.h"
#include "ray/core_worker/core_worker.h"
#include "src/ray/util/test_util.h"
#include "data_reader.h"
#include "data_writer.h"
#include "message/message.h"
#include "message/message_bundle.h"
#include "queue/queue_client.h"
#include "ring_buffer.h... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/mock_transfer_tests.cc | C++ | #include "data_reader.h"
#include "data_writer.h"
#include "gtest/gtest.h"
using namespace ray;
using namespace ray::streaming;
TEST(StreamingMockTransfer, mock_produce_consume) {
std::shared_ptr<Config> transfer_config;
ObjectID channel_id = ObjectID::FromRandom();
ProducerChannelInfo producer_channel_info;
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/queue_tests_base.h | C/C++ Header | namespace ray {
namespace streaming {
ray::ObjectID RandomObjectID() { return ObjectID::FromRandom(); }
static void flushall_redis(void) {
redisContext *context = redisConnect("127.0.0.1", 6379);
freeReplyObject(redisCommand(context, "FLUSHALL"));
freeReplyObject(redisCommand(context, "SET NumRedisShards 1"));
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/ring_buffer_tests.cc | C++ | #include "gtest/gtest.h"
#include "ray/util/logging.h"
#include <unistd.h>
#include <iostream>
#include <set>
#include <thread>
#include "message/message.h"
#include "ring_buffer.h"
using namespace ray;
using namespace ray::streaming;
size_t data_n = 1000000;
TEST(StreamingRingBufferTest, streaming_message_ring_buff... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/run_streaming_queue_test.sh | Shell | #!/usr/bin/env bash
# Run all streaming c++ tests using streaming queue, instead of plasma queue
# This needs to be run in the root directory.
# Try to find an unused port for raylet to use.
PORTS="2000 2001 2002 2003 2004 2005 2006 2007 2008 2009"
RAYLET_PORT=0
for port in $PORTS; do
nc -z localhost $port
if... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/streaming_queue_tests.cc | C++ | #define BOOST_BIND_NO_PLACEHOLDERS
#include <unistd.h>
#include "gtest/gtest.h"
#include "queue/queue_client.h"
#include "ray/core_worker/core_worker.h"
#include "data_reader.h"
#include "data_writer.h"
#include "message/message.h"
#include "message/message_bundle.h"
#include "ring_buffer.h"
#include "queue_tests_bas... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/test/streaming_util_tests.cc | C++ | #include "gtest/gtest.h"
#include "util/streaming_util.h"
using namespace ray;
using namespace ray::streaming;
TEST(StreamingUtilTest, test_Byte2hex) {
const uint8_t data[2] = {0x11, 0x07};
EXPECT_TRUE(Util::Byte2hex(data, 2) == "1107");
EXPECT_TRUE(Util::Byte2hex(data, 2) != "1108");
}
TEST(StreamingUtilTest... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/util/streaming_logging.cc | C++ | #include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include "streaming_logging.h"
namespace ray {
namespace streaming {} // namespace streaming
} // namespace ray
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/util/streaming_logging.h | C/C++ Header | #ifndef RAY_STREAMING_LOGGING_H
#define RAY_STREAMING_LOGGING_H
#include "ray/util/logging.h"
#define STREAMING_LOG RAY_LOG
#define STREAMING_CHECK RAY_CHECK
namespace ray {
namespace streaming {} // namespace streaming
} // namespace ray
#endif // RAY_STREAMING_LOGGING_H
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/util/streaming_util.cc | C++ | #include <unordered_set>
#include "streaming_util.h"
namespace ray {
namespace streaming {
boost::any &Config::Get(ConfigEnum key) const {
auto item = config_map_.find(key);
STREAMING_CHECK(item != config_map_.end());
return item->second;
}
boost::any Config::Get(ConfigEnum key, boost::any default_value) const... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
streaming/src/util/streaming_util.h | C/C++ Header | #ifndef RAY_STREAMING_UTIL_H
#define RAY_STREAMING_UTIL_H
#include <boost/any.hpp>
#include <string>
#include <unordered_map>
#include "util/streaming_logging.h"
namespace ray {
namespace streaming {
enum class ConfigEnum : uint32_t {
QUEUE_ID_VECTOR = 0,
RECONSTRUCT_RETRY_TIMES,
RECONSTRUCT_TIMEOUT_PER_MB,
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
bert/distributed_train.py | Python | #!/usr/bin/env python3 -u
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import o... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/eval_lm.py | Python | #!/usr/bin/env python3 -u
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
"""
Evalu... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from .multiprocessing_pdb import p... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/bleu.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import ctypes
import math
import t... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/clib/libbleu/libbleu.cpp | C++ | /**
* Copyright 2017-present, Facebook, Inc.
* All rights reserved.
*
* This source code is licensed under the license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <map>
#include <array>
#include <cstring>
#include <cstdio>
typedef struct
{
size_t reflen;
size_t pre... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/clib/libbleu/module.cpp | C++ | /**
* Copyright 2017-present, Facebook, Inc.
* All rights reserved.
*
* This source code is licensed under the license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <Python.h>
static PyMethodDef method_def[] = {
{NULL, NULL, 0, NULL}
};
static struct PyModuleDef module_d... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import importlib
import os
from .... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/adaptive_loss.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch.nn.funct... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/cross_entropy.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch.nn.functi... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/cross_entropy_bert.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch.nn.functi... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/cross_entropy_classify.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.nn.functional as F
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/cross_entropy_classify_binary.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.nn.functional as F
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/fairseq_criterion.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from torch.nn.modules.loss import ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/label_smoothed_cross_entropy.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
from fairseq import u... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/criterions/mean_squared_error.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.nn.functional as F
im... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from .dictionary import Dictionary... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/backtranslation_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from fairseq import sequence_gene... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/bert_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import numpy as np
import torch
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/data_utils.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import contextlib
import os
impor... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/dictionary.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from collections import Counter
im... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/fairseq_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.utils.data
from fair... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/glue_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import numpy as np
import torch
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/indexed_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import os
import struct
import nu... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/iterators.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import itertools
import math
impo... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/language_pair_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import numpy as np
import torch
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/monolingual_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import numpy as np
import torch
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/data/token_block_dataset.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import numpy as np
im... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/distributed_utils.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from collections import namedtuple... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/meters.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import time
class AverageMeter(o... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import argparse
import importlib
i... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/composite_encoder.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqEncoder
cla... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/distributed_fairseq_model.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from torch.nn import parallel
fro... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/fairseq_decoder.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.nn as nn
import torch... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/fairseq_encoder.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.nn as nn
class Fair... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/fairseq_incremental_decoder.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqDecoder
cla... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/fairseq_model.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
import torch.nn as nn... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/fconv.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch
import to... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/fconv_self_att.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
import math
import torch
import... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/lstm.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
import torch.nn as nn... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/models/transformer.py | Python | # Modified by Zhuohan Li in May 2019 for macaron-net
#
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from .adaptive_softmax import Adap... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/adaptive_softmax.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
import torch.nn.func... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/beamable_mm.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
import torch.nn as nn... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/character_token_embedder.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import numpy as np
import torch
im... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/conv_tbc.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
from torch.nn.modules... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/downsampled_multihead_attention.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
import math
import torch
import... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/grad_multiply.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
class GradMultiply(... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/highway.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
import torch.nn.funct... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/learned_positional_embedding.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.nn as nn
from fairse... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/linearized_convolution.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
import torch.nn.funct... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/multihead_attention.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
from torch import nn
... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/scalar_bias.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
import torch
class ScalarBias(... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/modules/sinusoidal_positional_embedding.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch
import t... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/multiprocessing_pdb.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import multiprocessing
import os
i... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import importlib
import os
from .... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/adagrad.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim
from . import ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/adam.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch
import to... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/fairseq_optimizer.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch
class ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/fp16_optimizer.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
from fairseq import ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import importlib
import os
from .... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/cosine_lr_scheduler.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
from . import Fairseq... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/exp_lr_scheduler.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqLRScheduler, ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/fairseq_lr_scheduler.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from .. import FairseqOptimizer
... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/fixed_schedule.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqLRScheduler, ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/inverse_square_root_schedule.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqLRScheduler, ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/linear_lr_schedule.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from . import FairseqLRScheduler, ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim.lr_scheduler
f... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/lr_scheduler/triangular_lr_scheduler.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
from . import Fairseq... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/nag.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from torch.optim.optimizer import ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/optim/sgd.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim
from . import ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/options.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import argparse
import torch
fro... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/progress_bar.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
"""
Wrapper around various loggers... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/search.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
class Search(object... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/sequence_generator.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch
from fa... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/sequence_scorer.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch
from fairseq import ... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tasks/__init__.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in # the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import argparse
import importlib
i... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tasks/bert.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import itertools
import os
import... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tasks/fairseq_task.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from fairseq.data import data_util... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tasks/glue.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import itertools
import os
import... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tasks/language_modeling.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import itertools
import numpy as n... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tasks/translation.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import itertools
import numpy as n... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/tokenizer.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from collections import Counter
im... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/trainer.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
"""
Train a network across multipl... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/fairseq/utils.py | Python | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from collections import defaultdic... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/generate.py | Python | #!/usr/bin/env python3 -u
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
"""
Trans... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
bert/inference.py | Python | #!/usr/bin/env python3 -u
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
"""
Evalu... | zhuohan123/macaron-net | 147 | Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View" | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
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