Gateway
BOT
08-Jul-18 04:28 AM
[dscrdeql] <CowboyCrypto- Founder> Oh shredded wheat
[dscrdeql] <CowboyCrypto- Founder> Lol
[dscrdeql] <CombatWombat> hey guys
[dscrdeql] <ECA Gorillaz> heyoo
[dscrdeql] <jellysmash> Aa @CombatWombat hey wombat
[dscrdeql] <AdventureCrypto> shredded wheat is boring boring boring
[dscrdeql] <AndronicusBass-Founder> it can be good, I used to like it with boiling hot water to turn to mush then add milk and raw sugar. the best way to have it
[dscrdeql] <CombatWombat> jelly
(edited)
[dscrdeql] <jellysmash>
[dscrdeql] <CombatWombat> how are you?
[dscrdeql] <jellysmash> ok, just chillin on sunday afternoon
[dscrdeql] <CombatWombat> nice same here
[dscrdeql] <jellysmash> took a dog for a walk, fixed flat tyre on sons bike, drinking tea now
[dscrdeql] <CombatWombat> coffee for me lol
[dscrdeql] <jellysmash> a bit late in the day for me to have coffee now. have to switch to tea
[dscrdeql] <jellysmash>
[dscrdeql] <CombatWombat> woke up late... again lol
[dscrdeql] <jellysmash> you're lucky...nice to sleep in and wake up late
[dscrdeql] <jellysmash> catch up on a few zzzz
[dscrdeql] <CombatWombat> i don't sleep till morning though
[dscrdeql] <jellysmash> ha..playing computer games?
[dscrdeql] <jellysmash> fortnite?
[dscrdeql] <CombatWombat> nah but i do need to get myself a gaming console soon
[dscrdeql] <jellysmash> i just play on the computer
[dscrdeql] <AndronicusBass-Founder> i hate sleeping in
[dscrdeql] <CombatWombat> just have bad sleeping routine
[dscrdeql] <jellysmash> tanki online
[dscrdeql] <jellysmash> that's all I've been playing for last year
[dscrdeql] <AdventureCrypto> i like playing xbox
[dscrdeql] <AndronicusBass-Founder> I've timed my day around hand over for when the others have bed time.
[dscrdeql] <AdventureCrypto> avengers
[dscrdeql] <AndronicusBass-Founder> I have xbox one and ps4 but hardly play. anyone played deus ex:mnkind divided?
[dscrdeql] <jellysmash> because you're in Australia right?
[dscrdeql] <CombatWombat> i don't sleep till like 5-6am
[dscrdeql] <jellysmash> so whilst the rest of the world is alseep
[dscrdeql] <jellysmash> you and me, are awake
[dscrdeql] <CombatWombat> today i slept at 8am keeps getting worse
[dscrdeql] <jellysmash> and anyone else in asia
[dscrdeql] <jellysmash> or New Zealand
[dscrdeql] <CombatWombat> Australia here as well
[dscrdeql] <AndronicusBass-Founder> yeah, most of the world is either very late at night or early in the morning
[dscrdeql] <jellysmash> they're lucky they still get to have their whole sunday ahead of them
[dscrdeql] <jellysmash> I'd like to repeat days sometimes
[dscrdeql] <jellysmash> pretty much be weekends though
[dscrdeql] <jellysmash> damn this dog is now barking
[dscrdeql] <jellysmash> whenever I don't pay it any attention
[dscrdeql] <jellysmash> I don't think i'll agree to mind this dog again
[dscrdeql] <jellysmash> too high maintenance
[dscrdeql] <CombatWombat> lol
[dscrdeql] <AndronicusBass-Founder> I think there should be less working hours, people would be more productive, its getting the right balance though
[dscrdeql] <jellysmash> yea, maybe 30 hours a week, or a 4 day working week
[dscrdeql] <jellysmash> sounds good to me
[dscrdeql] <jellysmash> life is so busy these days, that work should be limited to 4 days
[dscrdeql] <AndronicusBass-Founder> need siestas after lunch because the 2nd hald day slows down for alot of people
[dscrdeql] <jellysmash> yea, that's why I need caffieene
[dscrdeql] <jellysmash> only problem if it's too late in afternoon
[dscrdeql] <AdventureCrypto> i drink tea mostly
[dscrdeql] <AdventureCrypto> green tea is nice
[dscrdeql] <AndronicusBass-Founder> Try a south american tea called yerba mate (mah-tay)
[dscrdeql] <jellysmash> yea and so is peppermint
[dscrdeql] <jellysmash> mah-tay
[dscrdeql] <AndronicusBass-Founder> Ive been drinking passion vine tea, green tea, jasmine tea, dandelion root tea and chai tea


Class: AutomationObject::State::AutomaticRouting
- Inherits:
-
Object
- Object
- AutomationObject::State::AutomaticRouting
- Defined in:
- lib/automation_object/state/helpers/automatic_routing.rb
Constant Summary
- MAX_RECURSION_DEPTH =
10
Instance Method Summary collapse
-
#initialize(top_state, target) ⇒ AutomaticRouting
constructor
A new instance of AutomaticRouting.
-
#route ⇒ Boolean
Success or not.
Constructor Details
#initialize(top_state, target) ⇒ AutomaticRouting
Returns a new instance of AutomaticRouting
10 11 12 13 |
# File 'lib/automation_object/state/helpers/automatic_routing.rb', line 10 def initialize(top_state, target) @top = top_state @target = target end |
Instance Method Details
#route ⇒ Boolean
Returns success or not
16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
# File 'lib/automation_object/state/helpers/automatic_routing.rb', line 16 def route paths = {} @top.active_screens.each do |screen_name, screen| paths[screen_name] = recursive_search(screen) end flattened_paths = flat_hash(paths).keys.sort_by(&:length) flattened_paths.each do |flattened_path| next unless flattened_path.last == @target return follow_route(flattened_path) end false end |


Being an aspiring Software Engineering Expert gives the main reason why I decided to take programming classes.Also I decided to take them because of the desire to learn to code. This is so that I can be able to create software programs to solve most of the challenging real life problems challenging the community at large. Also coding is fun and a hobby to me hence the need to join programming classes
Below gives a list of projects I have carried out:
The list below briefly describes my educational background and archievements:
Being a student I haven't been employed by now.But based on learning by myself and carrying out my own projects I got skills in the following fields:
Being a friendly and social person I got alot of interests and hobies but I am just going to list a few of them below:
If incase you are interested to form a collaboration with me in this IT field please enter your details above I will reach to you.
© 2020 portfolio.


{% extends "base.html" %} {% block content %}
All fields marked with * are required.
All terms used in the logical definitions must exist in OBI.


Hold YES Bank; target of Rs 59: Prabhudas Lilladher
Prabhudas Lilladher recommended hold rating on YES Bank with a target price of Rs 59 in its research report dated November 01, 2019.
by Broker ResearchPrabhudas Lilladher's research report on YES Bank
Yes Bank continued to see high loan slippages of Rs59.5bn into NPA with 60% being from BB & below book and 40% from outside the identified stressed BB & below book which was key negative. Also, the BB & below book saw jump from 9% of exposure to 10% in Q2FY20 and notwithstanding the same, the BBB & below also saw jump of 21% QoQ to 21% of exposure (320bps QoQ jump) due to downgrades from higher buckets. Higher additions to lower buckets & lumpy exposures remains a big risk to asset quality added by sluggish resolutions. By consolidating b/s bank has been able to conserve capital and incremental capital infusion by large investor will help cushion large hits on balance sheet, but we worry it may not suffice.
Outlook
We retain HOLD with TP of Rs59 (unhanged) based on 0.6x Sep-21 ABV.
For all recommendations report, click here
Disclaimer: The views and investment tips expressed by investment experts/broking houses/rating agencies on moneycontrol.com are their own, and not that of the website or its management. Moneycontrol.com advises users to check with certified experts before taking any investment decisions.
Special Thursday Expiry on 10th 7th Nov
Early Closure to The Great Diwali Discount. Last Chance to get Moneycontrol PRO for a year @ Rs. 289/- only
Coupon code: DIWALI


UX Engineer
Nice to meet you! I code websites for a living, and my specialization is implementing designs in HTML, CSS, and JavaScript.
My background in both design and development allows me to create interactive experiences with exacting attention to detail.
Outside of work I’m an audiophile, indie game enthusiast, tinkerer, and cat lover. I thrive in creative spaces dedicated to building a bright future for everyone.


PLACES!
Enter some info about the cool places you've been!
Enter a Name:
Enter a Location:
Enter Landmarks:
Enter Season:
Enter a fact!
Add Place
Click here to see Mexico!


FA overturn Spurs striker Son's red card for tackle on Everton's Gomes
Tottenham Hotspur have successfully appealed against a red card shown to Son Heung-min for a tackle that led to Everton midfielder Andre Gomes breaking his ankle, so the Spurs striker can play in his side's next three games, the FA said on Tuesday.
REUTERS: Tottenham Hotspur have successfully appealed against a red card shown to Son Heung-min for a tackle that led to Everton midfielder Andre Gomes breaking his ankle, so the Spurs striker can play in his side's next three games, the FA said on Tuesday.
Gomes suffered a fracture dislocation to his right ankle in the second half of Sunday's 1-1 draw at Goodison Park when he landed off balance at speed after the tackle from Son and then collided with Spurs full back Serge Aurier.
Referee Martin Atkinson initially showed a yellow card but then produced a red card - an automatic three-match ban - after a VAR intervention, with the Premier League stating Son had endangered Gomes' safety with his initial challenge.
"Son Heung-min will be available for Tottenham Hotspur FC's next three domestic fixtures after an independent Regulatory Commission upheld a claim of wrongful dismissal," the FA said in a statement.
Portugal international Gomes had surgery on Monday, and Everton said afterwards he was expected to make a full recovery.
Spurs' next domestic fixture is a Premier League home game on Saturday against Sheffield United.
(Reporting by Rohith Nair in Bengaluru; Editing by Hugh Lawson)


Busting out the Leatherman always makes me feel rugged, capable. I just used mine to make a Camembert sandwich on baguette with fresh greens
9/16/2011, 6:58:32 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Busting out the Leatherman always makes me feel rugged, capable. I just used mine to make a Camembert sandwich on baguette with fresh greens
9/16/2011, 6:58:32 PM
Favs: 0
Retweets: 0
link


Frequently Asked Questions¶
Author: Mark Saroufim
Does torch.compile
support training?¶
torch.compile
supports training, using AOTAutograd to capture backwards:
The
.forward()
graph andoptimizer.step()
is captured by TorchDynamo’s pythonevalframe
frontend.For each segment of
.forward()
that torchdynamo captures, it uses AOTAutograd to generate a backward graph segment.Each pair of forward and backward graph are (optionally) min-cut partitioned to save the minimal state between forward and backward.
The forward and backward pairs are wrapped in
autograd.function
modules.Usercode calling
.backward()
still triggers eager’s autograd engine, which runs each compiled backward graph as if it were one op, also running any non-compiled eager ops’.backward()
functions.
Do you support Distributed code?¶
torch.compile
supports DistributedDataParallel
(DDP).
Support for other distributed training libraries is being considered.
The main reason why Distributed code is challenging with dynamo is because AOTAutograd unrolls both the forward and backward pass and provides 2 graphs for backends to optimize. This is a problem for distributed code because we’d like to ideally overlap communication operations with computations. Eager pytorch accomplishes this in different ways for DDP/FSDP- using autograd hooks, module hooks, and modifications/mutations of module states. In a naive application of dynamo, hooks that should run directly after an operation during backwards may be delayed until after the entire compiled region of backwards ops, due to how AOTAutograd compiled functions interact with dispatcher hooks.
The basic strategy for optimizing DDP with Dynamo is outlined in distributed.py where the main idea will be to graph break on DDP bucket boundaries.
When each node in DDP needs to synchronize its weights with the other nodes it organizes its gradients and parameters into buckets which reduces communication times and allows a node to broadcast a fraction of its gradients to other waiting nodes.
Graph breaks in distributed code mean you can expect dynamo and its backends to optimize the compute overhead of a distributed program but not its communication overhead. Graph-breaks may interfere with compilation speedups, if the reduced graph-size robs the compiler of fusion opportunities. However, there are diminishing returns with increasing graph size since most of the current compute optimizations are local fusions. So in practice this approach may be sufficient.
Do I still need to export whole graphs?¶
For the vast majority of models you probably don’t and you can use
torch.compile()
as is but there are a few situations where
full graphs are necessary and you can can ensure a full graph by simply
running torch.compile(..., nopython=True)
. These situations include:
Large scale training runs, such as $250K+ that require pipeline parallelism and other advanced sharding strategies.
Inference optimizers like TensorRT or AITemplate that rely on fusing much more aggressively than training optimizers.
Mobile training or inference.
Future work will include tracing communication operations into graphs, coordinating these operations with compute optimizations, and optimizing the communication operations.
Why is my code crashing?¶
If your code ran just fine without torch.compile
and started to
crash with it is enabled, then the most important first step is figuring
out which part of the stack your failure occurred. To troubleshoot that,
follow the steps below and only try the next step if the previous one
succeeded.
torch.compile(..., backend="eager")
which only runs TorchDynamo forward graph capture and then runs the captured graph with PyTorch. If this fails then there’s an issue with TorchDynamo.torch.compile(..., backend="aot_eager")
which runs TorchDynamo to capture a forward graph, and then AOTAutograd to trace the backward graph without any additional backend compiler steps. PyTorch eager will then be used to run the forward and backward graphs. If this fails then there’s an issue with AOTAutograd.torch.compile(..., backend="inductor")
which runs TorchDynamo to capture a forward graph, and then AOTAutograd to trace the backward graph with the TorchInductor compiler. If this fails then there’s an issue with TorchInductor
Why is compilation slow?¶
Dynamo Compilation– TorchDynamo has a builtin stats function for collecting and displaying the time spent in each compilation phase. These stats can be accessed by calling
torch._dynamo.utils.compile_times()
after executingtorch._dynamo
. By default, this returns a string representation of the compile times spent in each TorchDynamo function by name.Inductor Compilation– TorchInductor has a builtin stats and trace function for displaying time spent in each compilation phase, output code, output graph visualization and IR dump.
env TORCH_COMPILE_DEBUG=1 python repro.py
. This is a debugging tool designed to make it easier to debug/understand the internals of TorchInductor with an output that will look something like this Each file in that debug trace can be enabled/disabled viatorch._inductor.config.trace.*
. The profile and the diagram are both disabled by default since they are expensive to generate. See the example debug directory output for more examples.Excessive Recompilation When TorchDynamo compiles a function (or part of one), it makes certain assumptions about locals and globals in order to allow compiler optimizations, and expresses these assumptions as guards that check particular values at runtime. If any of these guards fail, Dynamo will recompile that function (or part) up to
torch._dynamo.config.cache_size_limit
times. If your program is hitting the cache limit, you will first need to determine which guard is failing and what part of your program is triggering it. The recompilation profiler automates the process of setting TorchDynamo’s cache limit to 1 and running your program under an observation-only ‘compiler’ that records the causes of any guard failures. You should be sure to run your program for at least as long (as many iterations) as you were running when you ran into trouble, and the profiler will accumulate statistics over this duration.
from torch._dynamo.utils import CompileProfiler
def my_model():
...
with CompileProfiler() as prof:
profiler_model = torch.compile(my_model, backend=prof)
profiler_model()
print(prof.report())
Why are you recompiling in production?¶
In some cases, you may not want unexpected compiles after a program has warmed up. For example, if you are serving production traffic in a latency critical application. For this, TorchDynamo provides an alternate mode where prior compiled graphs are used, but no new ones are generated:
frozen_toy_example = dynamo.run(toy_example)
frozen_toy_example(torch.randn(10), torch.randn(10))
How are you speeding up my code?¶
There are 3 major ways to accelerate PyTorch code:
Kernel fusion via vertical fusions which fuse sequential operations to avoid excessive read/writes. For example, fuse 2 subsequent cosines means you can can do 1 read 1 write instead 2 reads 2 writes 2. Horizontal fusion: the simplest example being batching where a single matrix is multiplied with a batch of examples but the more general scenario is a grouped GEMM where a group of matrix multiplications are scheduled together
Out of order execution: A general optimization for compilers, by looking ahead at the exact data dependencies within a graph we can decide on the most opportune time to execute a node and which buffers can be reused
Automatic work placement: Similar of the out of order execution point, but by matching nodes of a graph to resources like physical hardware or memory we can design an appropriate schedule
The above are general principles for accelerating PyTorch code but different backends will each make different tradeoffs on what to optimize. For example Inductor first takes care of fusing whatever it can and only then generates Triton kernels. It can also
Triton in addition offers speedups because of automatic memory coalescing, memory management and scheduling within each Streaming Multiprocessor and has been designed to handle tiled computations.
However, regardless of the backend you use it’s best to use a benchmark and see approach so try out the PyTorch profiler, visually inspect the generated kernels and try to see what’s going on for yourself.
Why am I not seeing speedups?¶
Graph Breaks¶
The main reason you won’t see the speedups you’d like to by using dynamo is excessive graph breaks. So what’s a graph break?
Given a program like:
def some_fun(x):
...
torch.compile(some_fun)(x)
...
Torchdynamo will attempt to compile all of the torch/tensor operations
within some_fun()
into a single FX graph, but it may fail to capture
everything into one graph.
Some graph break reasons are insurmountable to TorchDynamo like calling into a C extension other than PyTorch is invisible to TorchDynamo, and could do arbitrary things without TorchDynamo being able to introduce necessary guards to ensure that the compiled program would be safe to reuse.
To maximize performance, it’s important to have as few graph breaks as possible.
Identifying the cause of a graph break¶
To identify all graph breaks in a program and the associated reasons for
the breaks, torch._dynamo.explain
can be used. This tool runs
TorchDynamo on the supplied function and aggregates the graph breaks
that are encountered. Here is an example usage:
import torch
import torch._dynamo as dynamo
def toy_example(a, b):
x = a / (torch.abs(a) + 1)
print("woo")
if b.sum() < 0:
b = b * -1
return x * b
explanation, out_guards, graphs, ops_per_graph = dynamo.explain(toy_example, torch.randn(10), torch.randn(10))
print(explanation)
"""
Dynamo produced 3 graphs, with 2 graph break and 6 ops.
Break reasons:
1. call_function BuiltinVariable(print) [ConstantVariable(str)] {}
File "t2.py", line 16, in toy_example
print("woo")
2. generic_jump
File "t2.py", line 17, in toy_example
if b.sum() < 0:
"""
To throw an error on the first graph break encountered you can use
disable python fallback by using nopython=True
, this should be
familiar if you’ve worked with export based compilers.
def toy_example(a, b):
...
torch.compile(toy_example, fullgraph=True, backend=<compiler>)
Why didn’t my code recompile when I changed it?¶
If you enabled dynamic shapes by setting
env TORCHDYNAMO_DYNAMIC_SHAPES=1 python model.py
then your code
won’t recompile on shape changes. We’ve added support for dynamic shapes
which avoids recompilations in the case when shapes vary by less than a
factor of 2. This is especially useful in scenarios like varying image
sizes in CV or variable sequence length in NLP. In inference scenarios
it’s often not possible to know what a batch size will be beforehand
because you take what you can get from different client apps.
In general, TorchDynamo tries very hard not to recompile things unnecessarily so if for example TorchDynamo finds 3 graphs and your change only modified one graph then only that graph will recompile. So another tip to avoid potentially slow compilation times is to warmup a model by compiling it once after which subsequent compilations will be much faster. Cold start compile times is still a metric we track visibly.
Why am I getting incorrect results?¶
Accuracy issues can also be minified if you set the environment variable
TORCHDYNAMO_REPRO_LEVEL=4
, it operates with a similar git bisect
model and a full repro might be something like
TORCHDYNAMO_REPRO_AFTER="aot" TORCHDYNAMO_REPRO_LEVEL=4
the reason
we need this is downstream compilers will codegen code whether it’s
Triton code or the C++ backend, the numerics from those downstream
compilers can be different in subtle ways yet have dramatic impact on
your training stability. So the accuracy debugger is very useful for us
to detect bugs in our codegen or with a backend compiler.
If you’d like to ensure that random number generation is the same across both torch
and triton then you can enable torch._inductor.config.fallback_random = True
Why am I getting OOMs?¶
Dynamo is still an alpha product so there’s a few sources of OOMs and if
you’re seeing an OOM try disabling the following configurations in this
order and then open an issue on GitHub so we can solve the root problem
1. If you’re using dynamic shapes try disabling them, we’ve disabled
them by default: env TORCHDYNAMO_DYNAMIC_SHAPES=0 python model.py
2.
CUDA graphs with Triton are enabled by default in inductor but removing
them may alleviate some OOM issues: torch._inductor.config.triton.cudagraphs = False
.
torch.func
does not work with torch.compile
¶
Applying a torch.func
transform to a function that uses torch.compile
does not work:
import torch
@torch.compile
def f(x):
return torch.sin(x)
def g(x):
return torch.grad(f)(x)
x = torch.randn(2, 3)
g(x)
As a workaround, use torch.compile
outside of the torch.func
function:
import torch
def f(x):
return torch.sin(x)
@torch.compile
def g(x):
return torch.vmap(f)(x)
x = torch.randn(2, 3)
g(x)
Applying a torch.func
transform to a function handled with torch.compile
¶
For example, you have the following code:
import torch
@torch.compile
def f(x):
return torch.sin(x)
def g(x):
return torch.grad(f)(x)
x = torch.randn(2, 3)
g(x)
This code will not work. There is an issue
that you can track for this.
As a workaround, please put the torch.compile
outside of torch.func
transform:
import torch
def f(x):
return torch.sin(x)
@torch.compile
def g(x):
return torch.vmap(f)(x)
x = torch.randn(2, 3)
g(x)
Calling torch.func
transform inside of a function handled with torch.compile
¶
import torch
@torch.compile
def f(x):
return torch.vmap(torch.sum)(x)
x = torch.randn(2, 3)
f(x)
This doesn’t work yet. As a workaround, use torch._dynamo.allow_in_graph
allow_in_graph
is an escape hatch. If your code does not work with
torch.compile
, which introspects Python bytecode, but you believe it
will work via a symbolic tracing approach (like jax.jit
), then use
allow_in_graph
.
By using allow_in_graph
to annotate a function, you must make sure
your code meets the following requirements:
All outputs in your function only depend on the inputs and do not depend on any captured Tensors.
Your function is functional. That is, it does not mutate any state. This may be relaxed; we actually support functions that appear to be functional from the outside: they may have in-place PyTorch operations, but may not mutate global state or inputs to the function.
Your function does not raise data-dependent errors.
import torch
@torch.compile
def f(x):
return torch._dynamo.allow_in_graph(torch.vmap(torch.sum))(x)
x = torch.randn(2, 3)
f(x)
A common pitfall is using allow_in_graph
to annotate a function that
invokes an nn.Module
. This is because the outputs now depend on the
parameters of the nn.Module
. To get this to work, use
torch.func.functional_call
to extract the module state.
Which API to use for fine grain tracing?¶
In some cases, you might need to exclude small parts of your code from the torch.compile compilations. This section provides some of the answers and you can find more information in TorchDynamo APIs for fine-grained tracing.
How do I graph break on a function?¶
Graph break on a function is not enough to sufficiently express what you want PyTorch to do. You need to be more specific about your use case. Some of the most common use cases you might want to consider:
If you want to disable compilation on this function frame and the recursively invoked frames, use
torch._dynamo.disable
.If you want a particular operator, such as
fbgemm
to use the eager mode, usetorch._dynamo.disallow_in_graph
.
Some of the uncommon use cases include:
If you want to disable TorchDynamo on the function frame but enable it back on the recursively invoked frames – use
torch._dynamo.disable(recursive=False)
.If you want to prevent inlining of a function frame – use
torch._dynamo.graph_break
at the beginning of the function you want to prevent inlining.
What’s the difference between torch._dynamo.disable
and torch._dynamo.disallow_in_graph
¶
Disallow-in-graph works at the level of operators, or more specifically, the operators that you see in the TorchDynamo extracted graphs.
Disable works at the function frame level and decides if TorchDynamo should look into the function frame or not.
What’s the difference between torch._dynamo.disable
and torch._dynamo_skip
¶
Note
torch._dynamo_skip
is deprecated.
You most likely need torch._dynamo.disable
. But in an unlikely scenario, you
might need even finer control. Suppose you want to disable the tracing on just
the a_fn
function, but want to continue the tracing back in aa_fn
and
ab_fn
. The image below demonstrates this use case:
In this case, you can use torch._dynamo.disable(recursive=False)
.
In previous versions, this functionality was provided by torch._dynamo.skip
.
This is now supported by the recursive
flag inside torch._dynamo.disable
.


MBA (International)
University of Portsmouth Portsmouth, UKAnalysis of the existing management and business practices and recommending strategic options for immediate growth in the 3-5 year period at Taylor Made Training Solution, Fareham, Hampshire, UK. Identifying of potential areas and methods for growth and expansion – Market Opportunity and Attractiveness assessments


‘Pumpwell flyover will be opened in January’
Parties undertaking project have promised to complete work by December: MP
by Special CorrespondentThe Pumpwell flyover on NH 66, which has been getting multiple deadlines for its completion for nearly a decade, will be opened to traffic by January first week, said Nalin Kumar Kateel, MP, on Saturday.
Speaking to reporters after a site visit here, Mr. Kateel said officials from the National Highways Authority of India and concessionaire M/s Navayuga Udupi Tollway Pvt., Ltd., have promised to complete the construction work by December-end. As such, the flyover should be inaugurated by January first week, he said.
He said the four-laning work of NH 66 in Dakshina Kannada is almost 95% complete.
There were delays with regard to Thokkottu and Pumpwell Flyovers near Mangaluru because of legal, administrative and financial issues. The Thokkottu flyover is open already and Pumpwell will be ready by January, he said.
Mr. Kateel noted that during the January visit of Union Road Transport and Highway Ministry Secretary, M/s Navayuga had expressed financial constraints to complete the project. Union MoRTH Minister Nitin Gadkari not only facilitated a bank loan but also arranged funds from the government for the project.
In between, there was demand for an underpass connecting Indiana Hospital and Fr. Muller Convention Centre. It took time to accommodate this demand too, the MP said.
Extended monsoon also contributed to the delay. The Deputy Commissioner has already held talks with NHAI and others three times and directed them to complete the work at the earliest, Mr. Kateel said.
Wider service Roads
In view of the voluminous traffic around Pumpwell, the roads on the flanks of the flyover cannot be considered as service roads.
They would be considered as a part of the National Highway itself and would be widened for 20 metres to accommodate heavy flow of vehicles, Nalin Kumat Kateel MP said.
Meanwhile, looking at the pathetic condition of the service roads, Mr. Kateel directed the NHAI to immediately repair the service roads to make them traffic-worthy.
Mangaluru City South MLA D. Vedavyasa Kamath suggested to the authority not to close down both the service roads; but take up work one after the others.


Our tools are both simple to use and extremely flexible.
You want something that is not yet in PipeCash. Give us a call.
We can provide top quality PipeCash integration with your existing systems.
Don't want to bother with infrastructure? Let us handle the hosting of your PipeCash automation.
Having trouble? We can provide expert advice and support.
We are providing a number of free tutorials and guides about PipeCash.
Not sure if PipeCash is right for you? Book a meeting with our representative to discuss your specific needs.
It is possible to request a training seminar and learn the ins and outs of PipeCash.
Looking for people with experience? Join the PipeCash Telegram group, or go to the PipeCash forum.
Browse through the marketplace for solutions made by our parthners. Purchase common configurations or plugins.


{% include 'head.html' %}
{% include 'navigation-student.html' %} {% include 'nav-student-dashboard.html' %}
{{ assignment }}
{{ assignment }}
{% for question in assignment.questions %}
{{ question }}
{{ question.question_text }}
{% endfor %}
{% include 'footer.html' %} {% include 'logout.html' %}


Check for a Valid SIN Number
Enter the SIN Below
Social Insurance Number
Validate
Not a valid Social Insurance Number
This is not a valid social insurance number.
Valid Social Insurance Number
This was a valid social insurance number.


Courtney Act, Dick and Dom dream dinner guests in Christmas Come Dine With Me
Celebrity Christmas Come Dine With Me has the weirdest line up in store for us this year.
Drag Race star Courtney Act, Strictly Come Dancing finalist Debbie McGee, and children’s TV presenters Richard McCourt and Dominic Wood – better known as Dick and Dom – are going to rustle up dinner for each other this Christmas.
They will be joined by TV personality Charlotte Dawson, daughter of comedian Les Dawson, and internet entertainer Stevo The Madman.
Like any other CDWM, the celeb version will run for five days from 16 December to 20 December on E4 to get you in the festive mood.
The random dinner guests will display their culinary skills, or lack of, to each other for a good cause.
Courtney is hoping to whip up a pink themed vegan menu, Debbie is going to go posh for her black tie evening with some pretty special entertainment – a professional ballroom dance demonstration inside a massive snow globe. Fingers crossed for an appearance from her Strictly partner Giovanni Pernice dropping in to lend a hand.
Advertisement Advertisement
We’re also fully expecting Dick and Dom’s evening to be as chaotic as their hilarious TV show In Da Bungalow.
It will launch the new series of Celebrity Come Dine With Me that will air throughout 2020.
Simone Haywood, executive producer of Celebrity Come Dine With Me said: ‘We are delighted to be able to take our successful format to a brand new audience on E4, as part of our ever-growing slate of productions across the country and across every genre.
‘Come Dine With Me has always been hugely popular with younger audiences and we’re excited to give it a fresh new twist with our Celebrity Specials.’
Celebrity Christmas Come Dine With Me starts 16 December on Channel 4.
Got a showbiz story?
If you've got a celebrity story, video or pictures get in touch with the Metro.co.uk entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


SPVL viral HIV trends load epidemic model transmission mean sampling empirical log simulated years virulence individuals -year [], CVL initial HIV- time epidemics rate population set point disease null (Figure Figure distributions evolutionary infection distribution progression community studies {border-style biases estimated optimal variation px;} #ffffff;} consistent data early increased trends. using ART Viral []. copies/mL potential AIDS earlier result trend RNA different estimates growth period infected maximum rates based cohorts incidence loads median published year B). SPVLs additional annual bias evolution infection. linear parameters similar Click LINK S). adaptive associated created days diagnosis file. infection, periods subtype (TIF) acute defined high higher infections initiation low number rate, results runs transmissions Community Mean SPVL = . changes clinical does effects evolves greater heritability host human meta-analysis new primary px; simulations standard time. type values {font-family A). AIDS: Bmax HIV-infected Med: Trends Variation []–[]. antiretroviral assess biased cohort day decreased epidemic. epidemics, epidemics. font-size improvements included load, model-based multiple plasma positive prevention produced reflect relationship seroconverter sexual study trends, understanding variance (and Fraser absence affect asymptomatic caused change context copies/mL. copies/mL/year) course double; estimation heterosexual individual levels likely overall parameter possible randomly related replicate reported source stages symptomatic underlying virus "early (the (to Empirical Equation European However, Infect JTH North Population SPVL, Text []; analysis appropriate association border-color border-width compared context, copies/mL, couples distributions, epidemic, evolutionarily evolve explain following founding given half include increase increases intervals length level lower negative observed output, overlaid place proposed relative removed sampled seen seroprevalent shows significantly size solid; stage suggest summary susceptible time, total types use value yearly {font-style {font-weight (SPVL) (e.g., (with American Dis: Epidemic Evolutionary FraserC HerbeckJT, Infected Initial LaeyendeckerO, MargolickJB, Maximum New One: Pathog: Transmission United Washington, []–[], agent-based approximately assumption began biases, bold calculated causes cohorts. copies/mL). courier; decreasing developed em; epidemiological expected explained frequency genetic health highly includes increasing infection�? lead load. local markers measure median = .; model. natural peak population-level populations portion potential. prognostic programs progression, pt;} qualitatively region regression resulted risk run sample separate seroconversion simple specific starting unbiased virulence. window work zero,


Croatia: UK Citizens Held for People-smuggling, Trying to Run Over Cop
(AP) — Police in Croatia have detained three British citizens for allegedly smuggling migrants, saying one of the men also tried to run over a Croatian police officer.
by Breitbart LondonA statement says police on Saturday approached a 31-year-old British citizen in a parked car near Slovenia’s border when he suddenly sped toward one of the officers who jumped aside to avoid being hit.
The man was arrested shortly after. Police said Monday he was linked to two other British citizens who also on Saturday night tried to transport over the border a number of foreign citizens in a van.
In neighbouring Slovenia, police say they have apprehended nine people from various countries for people smuggling and recorded a total of 150 attempted illegal border crossings since last Wednesday.
Follow Breitbart London on Facebook: Breitbart London


Alex Neil still waiting on Preston injury crisis as West Brom visit
Albion head to Deepdale on Monday night to visit a Preston side who have a fabulous home record - they are, though, missing a number of first choice players currently
by Joseph Chapman, https://www.facebook.com/josephchapmanBM/Alex Neil admits he doesn’t know who among his batch of injured Preston players will be available to face West Brom when he welcomes Slaven Bilic and Albion to Deepdale on Monday evening.
North End are in something of an injury crisis in their defence, with a number of first-choice players all missing with various lay offs.
That culminated in a 4-0 hammering at Hull City during the week, and left Neil pondering his selection, as well as hope that he’d be able to welcome back one or two natural fits into his back-line.
Darnell Fisher, Ben Davies and Alan Browne all missed the KCOM defeat, while Tom Clarke and Andrew Hughes have been missing for a while.
West Brom latest
This is your round up of all things West Brom; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Baggies throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Albion fans send the club a Pereira message - READ
- Bilic: "We slaughtered them" - READ
- The 'outrageous' player ratings - READ
- Bilic's press conference LIVE - READ
For all your latest WBA news, opinion, analysis and transfer gossip, click here
You can follow our West Brom reporter Joseph Chapman on Twitter, and his email address is<EMAIL_ADDRESS>Ahead of a weekend without football, though, Neil is still playing a waiting game.
“I’m not sure yet who might be available. We’ve spoken about this before – you can cope when players have been missing dotted around the team,” Neil told the LEP .
“You can change a player in one area and it doesn’t affect things, they slot in. It is when you get injuries in the same position – players next to each other – when it becomes hard.
“If you look at the defence which started the opening game of the season and the defence which played at Hull, one player was the same.
“We put lads in that area who tried to get the job done but unfortunately that wasn’t to be.”
Despite his injury concerns, Neil is demanding an answer from Preston, after that mauling from the Tigers.
poll loading
How will Albion get on at Preston on Monday?
0+ VOTES SO FAR
Home win Draw Baggies come away with the points
The Lilywhites are still, after all, in the play-off places and boast a particularly impressive home record.
He added: “Football, when it’s going easy, it’s easy to take all the plaudits. What I’m going to have to do and the players are going to have to do is take their medicine, which is the criticism that comes our way, which is merited.
“Now, we need to react, we need to respond and we need to do better in the next games coming up.”