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tensorflow/c/experimental/gradients/nn_grad.cc
absl::Span<AbstractTensorHandle*> grad_inputs) override { AbstractTensorHandle* upstream_grad = grad_outputs[0]; AbstractTensorHandle* activations = forward_outputs_[0]; // Calculate Grad std::string name = "relu_grad"; TF_RETURN_IF_ERROR(ReluGrad(ctx, upstream_grad, activations, &grad_inputs[0], name.c_str())); return absl::OkStatus(); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
TF_RETURN_IF_ERROR( ops::Sub(ctx, fPlus.get(), fMinus.get(), f_outputs, "sub_top")); AbstractTensorHandlePtr fDiff(f_outputs[0]); // Calculate using the difference quotient definition: // (f(theta + eps) - f(theta - eps)) / (2 * eps). TF_RETURN_IF_ERROR( ops::Div(ctx, fDiff.get(), two_eps.get(), f_outputs, "diff_quotient"));
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) -
tensorflow/c/experimental/gradients/math_grad.cc
AbstractTensorHandlePtr Ones_X(temp_output); name = "Add_Log1p_Grad_X"; // Calculate 1 + Conj(X) TF_RETURN_IF_ERROR( AddV2(ctx, Ones_X.get(), Conj_X.get(), &temp_output, name.c_str())); AbstractTensorHandlePtr Conj_XP1(temp_output); name = "Div_Log1p_Grad_X"; // Calculate U / (1 + Conj(X)) TF_RETURN_IF_ERROR(
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0)