agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
template< int BLOCKSIZE >
__global__ void im2winKernelConvNCHWBASE(float* inptr, float* filptr, float* outptr, size_t* d_dims_a, size_t* d_dims_b, size_t* d_dims_c) {
    size_t tid, Idx_x, Idx_y, Idx_z, Idx, threadsPerBlock,
        input_batch, input_channel, input_height, input_width,
        filter_batch, filter_channel, filter_height, filter_width,
        output_batch, output_channel, output_height, output_width,
        stride_height, stride_width;

    threadsPerBlock = blockDim.x;
    tid = threadIdx.x;
    Idx_x = blockIdx.x * BLOCKSIZE + tid % BLOCKSIZE;
    Idx_y = blockIdx.y * BLOCKSIZE + tid / BLOCKSIZE;
    Idx_z = blockIdx.z;

    input_batch = d_dims_a[0];
    input_channel = d_dims_a[1];
    input_height = d_dims_a[2];
    input_width = d_dims_a[3];

    filter_batch = d_dims_b[0];
    filter_channel = d_dims_b[1];
    filter_height = d_dims_b[2];
    filter_width = d_dims_b[3];

    output_batch = d_dims_c[0];
    output_channel = d_dims_c[1];
    output_height = d_dims_c[2];
    output_width = d_dims_c[3];

    stride_height = (input_height - filter_height) / (output_height - 1);
    stride_width = (input_width - filter_width) / (output_width - 1);
    //printf("Idx_x : %d\n", Idx_x);
    // printf("Idx_y : %d\n", Idx_y);
    // __shared__ float smemB[12*1024];
    // int smemBsize = filter_channel * filter_height * filter_width;
    // int transIter = smemBsize / threadsPerBlock;
    // int resTransIter = smemBsize % threadsPerBlock;
    // float *to_filtptr = filptr + Idx_z * filter_channel * filter_height * filter_width;
    // for (int i = 0; i < transIter; ++i){
    //     smemB[i * threadsPerBlock + tid]
    //     = to_filtptr[i * threadsPerBlock + tid];
    // }
    // if (tid < resTransIter){
    //     smemB[transIter * threadsPerBlock + tid]
    //     = to_filtptr[transIter * threadsPerBlock + tid];
    // }
    // __syncthreads();
    if (Idx_x >= output_height || Idx_y >= output_width) return;

    size_t indexY = Idx_z * output_height * output_width
        + Idx_x * output_width + Idx_y;
    float tmp = 0.0;

    for (size_t c = 0; c < input_channel; ++c) {
        for (size_t w = 0; w < filter_width; ++w) {
            for (size_t h = 0; h < filter_height; ++h) {
                size_t indexD = c * output_height * filter_height * input_width
                    + w * filter_height + h
                    + Idx_x * filter_height * input_width
                    + Idx_y * stride_width * filter_height;
                size_t indexW = Idx_z * filter_channel * filter_height * filter_width
                    + c * filter_height * filter_width
                    + w * filter_height + h;
                tmp += inptr[indexD] * filptr[indexW];
            }
        }
    }
    outptr[indexY] = tmp;
}
 analyze this code carefully and see in which way it accesses data and computes the result, it is supposed to calculate convolution, but in a different way, so comparing it to a normal convolution it doesn't work out. So what should be done for it to be correct? write a test case for it as well.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en zh.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "3d891007803042109cd140cb9da1cb26",
    "updated": "2025-04-25T20:08:53.560Z",
    "title": "Lucumoka",
    "subtitle": "PALEO | VEGAN",
    "description": "A warm, comforting latte is the perfect companion for a quiet afternoon, especially when enhanced with the rich flavors of superfoods. This Lucumoka combines the unique taste of lúcuma and cacao with creamy almond milk for a truly delightful beverage. Lúcuma, a treasured fruit from the Andes mountains of Peru, is renowned for its nutritional value and delicious flavor. While Peruvians enjoy fresh lúcuma in various treats, it's available globally in powder form, making this recipe accessible to all. The combination of lúcuma and chocolate creates a winning flavor profile that's sure to be a new favorite.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(180 g) brewed espresso or strongly brewed coffee",
          "(180 g) almond milk",
          "(18 g) lúcuma powder",
          "cacao powder",
          "sweetener (such as maple sugar or coconut sugar) or pure liquid monk fruit (such as now foods brand)"
        ]
      }
    ],
    "instructions": [
      "Combine the espresso or coffee, almond milk, lúcuma powder, cacao powder, and sweetener in a blender. Blend at high speed until completely smooth.",
      "Gently heat the mixture in a small saucepan until hot. Avoid boiling, as this may cause the almond milk to separate. Do not use a microwave.",
      "Serve hot and enjoy a cozy moment, perhaps by a fireplace with a blanket. Alternatively, serve over ice for a refreshing treat on a warmer day."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Assistant: Hello! How are you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للهجات المحلية.
 اكتب لي هالنص باللهجة السورية. (ar-SY).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
وتخليني ارضع لانها هي تعاملني كالطفل الصغير
Assistant:
Add comment for the following code:

class SagemakerEndpointEmbeddingsJumpStart(SagemakerEndpointEmbeddings):
    def embed_documents(self, texts: List[str], chunk_size: int = 1) -> List[List[float]]:
        """Compute doc embeddings using a SageMaker Inference Endpoint.

        Args:
            texts: The list of texts to embed.
            chunk_size: The chunk size defines how many input texts will
                be grouped together as request. If None, will use the
                chunk size specified by the class.

        Returns:
            List of embeddings, one for each text.
        """
        results = []
        _chunk_size = len(texts) if chunk_size > len(texts) else chunk_size

        for i in range(0, len(texts), _chunk_size):
            response = self._embedding_func(texts[i : i + _chunk_size])
            print
            results.extend(response)
        return results


class ContentHandler(EmbeddingsContentHandler):
    content_type = "application/json"
    accepts = "application/json"
    
    def transform_input(self, prompt: str, model_kwargs={}) -> bytes:
        input_str = json.dumps({"inputs": prompt, **model_kwargs})
        return input_str.encode("utf-8")

    def transform_output(self, output: bytes) -> str:
        out = json.loads(output.read().decode("utf-8"))
        embeddings = np.mean(np.array(out), axis=1).tolist()
        # if len(embeddings) == 1:
        #     return [embeddings[0]]
        return embeddings


content_handler = ContentHandler()

embeddings = SagemakerEndpointEmbeddingsJumpStart(
    endpoint_name="minilm-embedding",
    region_name=aws_region,
    content_handler=content_handler,
)
<>
      <StyledTitle>Загрузки</StyledTitle>
      <StyledTabs id="controlled-tab" value={value} onChange={handleChange}>
        <StyledTab label="Драйверы" value="drivers" />
        <StyledTab label="Установочные пакеты" value="bins" />
      </StyledTabs>
      {value === "drivers" && (
        <DriversList
          error={driversError}
          filterName={filterName}
          setFilterName={setFilterName}
          refetchDrivers={refetchDrivers}
          loading={loadingDrivers}
          data={driversData}
        />
      )}
      {value === "bins" && (
        <BinsList
          error={binsError}
          getBins={getBins}
          filterNameBins={filterNameBins}
          setFilterNameBins={setFilterNameBins}
          refetchBins={refetchBins}
          loading={loadingBins}
          data={binsData}
        />
      )}
    </>
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Country-style vegetables Prepared with savory broth, aged vinegar, and fleur de sel","ingredients":"For the Recipe : beef plate,carrot,celery,leek,yellow onions,marrow bone,coarse gray sea salt,black peppercorns,bouquet garni,savoy cabbage leaves,medium carrots, with greens,golden ball turnips,purple-top white globe turnips,celery hearts,pencil-thin leeks,celeriac (about 1 medium),coarsely ground pepper,fleur de sel,aged red wine vinegar,olive oil","instructions":"Remove all excess fat from the meat.\nPeel the carrot and celery stalk.\nSlice the leek lengthwise and wash it thoroughly.\nPeel and halve the onions lengthwise, then char them in a skillet.\nBlanch the meat for 5 minutes in boiling water, then rinse under clean water.\nIn a stockpot, combine the meat, marrow bone, gray sea salt, carrot, celery, leek, charred onions, peppercorns, and bouquet garni.\nCover the ingredients with a piece of parchment paper cut to size to keep them submerged, then add water.\nSimmer the mixture for 4 hours.\nStrain the broth, ladle by ladle, through a conical strainer into a saucepan, and set aside.\nRemove the thick central rib from the cabbage leaves and cut them into large triangles.\nPeel and shape the carrots and turnips while keeping the greens intact.\nHalve the celery hearts lengthwise.\nRinse the leeks thoroughly to eliminate any grit, then trim to retain only one-third of the green tops.\nPeel the celeriac.\nCut a slice about 3cm - 1 1/4 inch thick and then cut it into triangles with sides of 5cm - 2 inches.\nBring the beef broth to a boil in a saucepan and poach each vegetable individually.\nTest for doneness by pricking with a knife; they should be very tender.\nQuickly cool in ice water, then set aside.\nReduce the broth and season well with coarsely ground pepper and fleur de sel.\nReheat all the vegetables in the broth.\nTransfer the vegetables to a serving dish.\nSeason the reduced broth with vinegar and oil.\nToss the vegetables with the beef broth vinaigrette.","region":"FR"}
write a script about XFL Vipers	—	6,023	6,037	—	6,008	6,033	6,041	—	—	—	—	—	30,142	6,028
Discusses the relationship between forest entomology, forest pathology, forest measurement and biometrics, stand dynamics and modelling, and forest management in forest resource management. And discuss their definitions and meanings.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
Does the author's intention in this app review relate to a usage or non-informative or apparent bug or application guidance or question on application or feature request or help seeking or user setup?
review: Dear jscher2000 Thank you for your replies above. '
intention: '
Assistant:
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Any one wanna talk about anime
History of Trading posts in Chile
What's the base TPD for the Xeon E-216M cpu?
User: - You offer a treat to calm the tantrum.
User: - The kid learns “bad” food equals comfort.
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: - The kid learns “bad” food equals comfort.
Assistant:
Could you make my message more professional?
make this into a Instagram post Ladies and gentlemen, let me introduce you to an exciting and groundbreaking solution that is designed to empower eco-conscious individuals like yourselves. I present to you The Green Thumb Project (TGTP), an innovative and intuitive app that rewards you for every good deed you do for the environment.Imagine being able to earn 10 cents (amount may vary depending on your region) simply by scanning the barcode of a plastic bottle you recycle. 

With TGTP, this becomes a reality! Not only will you be contributing to a cleaner planet, but you will also be rewarded with 10 cents credited directly to your card for each bottle you recycle.But that's not all! TGTP goes beyond just recycling plastic bottles. You can also recycle other types of plastics, including soft plastics, and earn even more rewards.

By expanding the range of recyclable materials, we encourage you to make a bigger impact on reducing waste and protecting our environment. Furthermore, TGTP offers an ingenious feature that sets it apart from other eco-friendly apps. By connecting the app to any machinery that produces emissions, our space-powered assistant will track your phone number to send your emissions straight to you and monitor the amount of emissions you're releasing. This means that you can receive actionable tips on how to reduce your carbon footprint and actively contribute to a healthier planet. We understand that different sectors have different environmental challenges. 

That's why TGTP offers two distinct apps tailored for personal and industrial use. Whether you're an individual looking to make a difference in your everyday life or a business striving to reduce its environmental impact, TGTP has got you covered. At The Green Thumb Project, we are committed to empowering everyone to take meaningful action towards a greener tomorrow. 

By joining our community, you become a part of a movement that values sustainability and environmental protection. Together, we can create a lasting positive impact on our planet.So, what are you waiting for? Join us on this exciting journey towards a greener and more sustainable future. Download The Green Thumb Project app today and be part of the solution. Together, let's make a difference for ourselves and for generations to come. Thank you.
dialup in 1997
User: what 
Assistant:  HelloHello! How can I assist you today?
User: say that
Assistant:  HelloHelloHello! How can I assist you today?
User: again
Assistant:  HelloHelloHelloHelloHello! How can I assist you today?
User: why you sending helohellohyello
Assistant:  II was repeating "Hello" more times each time you asked me to say it again. Sorry if that was confusing! How can I help you now?
User: whacha doing
Assistant:  I'mI'm here to help you with anything you need! What can I do for you today?
User: why you send im twice
Assistant:  II repeated "I'm" twice to match the pattern of repeating words like before with "Hello." Sorry if that was confusing! Let me know how I can assist you.
User: you said i twice
Assistant:  You'reYou're right, I did say "I" twice in "I'm"—that was unintentional. Thanks for pointing it out! How can I assist you further?
User: bruh stop
Assistant:  GotGot it! No more repeating—how can I help you now?
User: you still doingit
Assistant:  SorrySorry about that! I'll keep it straightforward from now on. What would you like to talk about?
User: bruh
Assistant:  II get it—no more repeats! What’s up?
User: you're still doing it
Assistant:  ApApologies for that! I’ll stop doing it now. How can I assist you?
User: stop it
Assistant:  GotGot it! No more repeats. How can I help you?
User: whacaha doing
Assistant:  I'mI'm here to help! What can I do for you today?
User: huh?
Assistant:  SorrySorry about that! I’m here and ready to help. What would you like to talk about?
User: whatcha
Assistant:
leo 2025 horoscope for those born on 8th aug 1973 . time of birth 2:30am
Write the Prequel Planets in the context of the Original Trilogy
Early Influences: Explore the background of Larry King(producer), including family, upbringing, and early exposure to their craft. Discuss key influences and mentors who inspired their path.

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
give me the blog title on the basis of  https://gilocksmith.com/ 
and keywords  https://gilocksmith.com/
pro secure locksmith
pro locksmith
magnetic lock service
expert locksmith services
lock rekeying service
mailbox lock service
car locksmith services
emergency locksmith services
lock replacement service
storage unit lockout services
door lock service
jewelry case lock
emergency commercial locksmith
door closer installation
door adjustment service
access control solutions
car key replacement services
residential locksmith services
professional locksmith services
commercial locksmith
commercial door locksmith
lock change service
mechanical push button lock