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Results 11 - 16 of 16 for Model (0.18 sec)

  1. .github/bot_config.yml

           * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
         * If error still persists then, apparently your CPU model does not support AVX instruction sets.
           * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
       
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    - Last Modified: Tue Oct 17 11:48:07 GMT 2023
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  2. tensorflow/c/eager/gradient_checker_test.cc

    void CompareNumericalAndManualGradients(
        Model model, AbstractContext* ctx,
        absl::Span<AbstractTensorHandle* const> inputs, int input_index,
        float* expected_grad, int num_grad, bool use_function,
        double abs_error = 1e-2) {
      Status s;
      AbstractTensorHandlePtr numerical_grad;
      {
        AbstractTensorHandle* numerical_grad_raw;
        s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function,
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Apr 14 10:03:59 GMT 2023
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  3. tensorflow/c/eager/gradient_checker.cc

          RunModel(forward, ctx, inputs, model_outputs, use_function));
      AbstractTensorHandlePtr model_out(model_outputs[0]);
    
      TF_Tensor* model_out_tensor;
      TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor));
      int num_dims_out = TF_NumDims(model_out_tensor);
      TF_DeleteTensor(model_out_tensor);
    
      // If the output is a scalar, then return the scalar output
      if (num_dims_out == 0) {
        outputs[0] = model_out.release();
    C++
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    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
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  4. CITATION.cff

    authors:
      - family-names: Abadi
        given-names: Martín
      - family-names: Agarwal
        given-names: Ashish
    Plain Text
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  5. .github/ISSUE_TEMPLATE/tflite-op-request.md

    Provide a reproducible test case that is the bare minimum necessary to generate
    the problem. If possible, please share a link to Colab/Jupyter/any notebook.
    
    Also, please include a link to a GraphDef or the model if possible.
    
    **Any other info / logs**
    
    Include any logs or source code that would be helpful to diagnose the problem.
    If including tracebacks, please include the full traceback. Large logs and files
    Plain Text
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  6. .github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml

          description: If compiling from source
      - type: input
        id: Cuda
        attributes:
          label: CUDA/cuDNN version
      - type: input
        id: Gpu
        attributes:
          label: GPU model and memory
          description: If compiling from source
      - type: textarea
        id: what-happened
        attributes:
          label: Current behavior?
          description: Also tell us, what did you expect to happen?
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