Index _ | A | B | C | D | E | G | I | L | M | N | O | P | R | S | T | Z _ __init__() (clumsygrad.optimizer.Adam method) (clumsygrad.optimizer.Optimizer method) (clumsygrad.optimizer.SGD method) (clumsygrad.tensor.Tensor method) A abs() (in module clumsygrad.math) abs_backward() (in module clumsygrad.grad) Adam (class in clumsygrad.optimizer) add_backward() (in module clumsygrad.grad) add_broadcast_backward() (in module clumsygrad.grad) add_scalar_backward() (in module clumsygrad.grad) B backward() (clumsygrad.tensor.Tensor method) C clumsygrad.activation module clumsygrad.grad module clumsygrad.loss module clumsygrad.math module clumsygrad.optimizer module clumsygrad.random module clumsygrad.tensor module cos() (in module clumsygrad.math) cos_backward() (in module clumsygrad.grad) count_by_type() (clumsygrad.tensor.TensorUtils static method) D data (clumsygrad.tensor.Tensor property) E exp() (in module clumsygrad.math) exp_backward() (in module clumsygrad.grad) G get_parameters() (clumsygrad.tensor.TensorUtils static method) grad (clumsygrad.tensor.Tensor property) GradientTuple (in module clumsygrad.grad) I INPUT (clumsygrad.tensor.TensorType attribute) INTERMEDIATE (clumsygrad.tensor.TensorType attribute) L log() (in module clumsygrad.math) log_backward() (in module clumsygrad.grad) M mae_backward() (in module clumsygrad.grad) mae_loss() (in module clumsygrad.loss) matmul_backward() (in module clumsygrad.grad) mean() (in module clumsygrad.math) mean_backward() (in module clumsygrad.grad) module clumsygrad.activation clumsygrad.grad clumsygrad.loss clumsygrad.math clumsygrad.optimizer clumsygrad.random clumsygrad.tensor mse_backward() (in module clumsygrad.grad) mse_loss() (in module clumsygrad.loss) mul_backward() (in module clumsygrad.grad) mul_broadcast_backward() (in module clumsygrad.grad) mul_scalar_backward() (in module clumsygrad.grad) N negate_backward() (in module clumsygrad.grad) O Optimizer (class in clumsygrad.optimizer) P PARAMETER (clumsygrad.tensor.TensorType attribute) power_backward() (in module clumsygrad.grad) R rand() (in module clumsygrad.random) randn() (in module clumsygrad.random) relu() (in module clumsygrad.activation) relu_backward() (in module clumsygrad.grad) requires_grad (clumsygrad.tensor.Tensor property) reshape() (clumsygrad.tensor.Tensor method) reshape_backward() (in module clumsygrad.grad) S SGD (class in clumsygrad.optimizer) shape (clumsygrad.tensor.Tensor property) sigmoid() (in module clumsygrad.activation) sigmoid_backward() (in module clumsygrad.grad) sin() (in module clumsygrad.math) sin_backward() (in module clumsygrad.grad) softmax() (in module clumsygrad.activation) softmax_backward() (in module clumsygrad.grad) sqrt() (in module clumsygrad.math) sqrt_backward() (in module clumsygrad.grad) step() (clumsygrad.optimizer.Adam method) (clumsygrad.optimizer.Optimizer method) (clumsygrad.optimizer.SGD method) sub_backward() (in module clumsygrad.grad) sub_broadcast_backward() (in module clumsygrad.grad) sub_scalar_backward() (in module clumsygrad.grad) sum() (in module clumsygrad.math) sum_backward() (in module clumsygrad.grad) T T() (clumsygrad.tensor.Tensor method) tan() (in module clumsygrad.math) tan_backward() (in module clumsygrad.grad) tanh() (in module clumsygrad.activation) tanh_backward() (in module clumsygrad.grad) Tensor (class in clumsygrad.tensor) TensorType (class in clumsygrad.tensor) TensorUtils (class in clumsygrad.tensor) transpose_backward() (in module clumsygrad.grad) Z zero_grad() (clumsygrad.optimizer.Optimizer method)