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Results 11 - 12 of 12 for Howard (0.17 sec)

  1. tensorflow/c/eager/gradients_test.cc

        t.reset(x_raw);
      }
    
      AbstractOperationPtr check_numerics_op(ctx->CreateOperation());
      ForwardOperation forward_op;
      Status s = Reset(check_numerics_op.get(), "CheckNumerics",
                       /*raw_device_name=*/nullptr, &forward_op);
      ASSERT_EQ(errors::OK, s.code()) << s.message();
      if (isa<TracingOperation>(check_numerics_op.get())) {
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 7K bytes
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  2. tensorflow/c/eager/gradient_checker.cc

    Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                          absl::Span<AbstractTensorHandle* const> inputs,
                          absl::Span<AbstractTensorHandle*> outputs,
                          bool use_function) {
      AbstractTensorHandle* model_outputs[1];
    
      // Run the model.
      TF_RETURN_IF_ERROR(
          RunModel(forward, ctx, inputs, model_outputs, use_function));
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 7.3K bytes
    - Viewed (0)
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