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detect_anomaly enable_grad Function inference_mode no_grad set_detect_anomaly set_grad_enabled tensorplay.autograd.backward tensorplay.autograd.function.once_differentiable tensorplay.autograd.functional.hessian tensorplay.autograd.functional.hvp tensorplay.autograd.functional.jacobian tensorplay.autograd.functional.jvp tensorplay.autograd.functional.vhp tensorplay.autograd.functional.vjp tensorplay.autograd.grad tensorplay.autograd.grad_mode.is_grad_enabled tensorplay.autograd.gradcheck.get_analytical_jacobian tensorplay.autograd.gradcheck.get_numerical_jacobian tensorplay.autograd.gradcheck.get_numerical_jacobian_wrt_specific_input tensorplay.autograd.gradcheck.gradcheck tensorplay.autograd.gradcheck.GradcheckError tensorplay.autograd.gradcheck.gradgradcheck tensorplay.autograd.jvp

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tensorplay.autograd.gradcheck.get_analytical_jacobian

tensorplay.autograd.gradcheck.get_analytical_jacobian(inputs, output, nondet_tol=0.0, grad_out=1.0)[source]

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tensorplay.autograd.grad_mode.is_grad_enabled

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tensorplay.autograd.gradcheck.get_numerical_jacobian

Compute the numerical Jacobian for a given fn and its inputs.