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Results 1 - 2 of 2 for BiasAdd (0.14 sec)

  1. tensorflow/c/experimental/gradients/nn_grad_test.cc

    Status BiasAddModel(AbstractContext* ctx,
                        absl::Span<AbstractTensorHandle* const> inputs,
                        absl::Span<AbstractTensorHandle*> outputs) {
      return ops::BiasAdd(ctx, inputs[0], inputs[1], &outputs[0], "NHWC",
                          "BiasAdd");
    }
    
    class CppGradients
        : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> {
     protected:
      void SetUp() override {
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Wed Feb 28 13:53:47 GMT 2024
    - 8.3K bytes
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  2. tensorflow/c/experimental/gradients/nn_grad.cc

      Status Compute(AbstractContext* ctx,
                     absl::Span<AbstractTensorHandle* const> grad_outputs,
                     absl::Span<AbstractTensorHandle*> grad_inputs) override {
        /* Given upstream grad U and a BiasAdd: A + bias, the gradients are:
         *
         *    dA = U
         *    dbias = reduceSum(U, dims = channel_dim)
         */
    
        AbstractTensorHandle* upstream_grad = grad_outputs[0];
        DCHECK(upstream_grad);
    
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Wed Feb 28 13:53:47 GMT 2024
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