wrapped_partial

.wrapped_partial(
   func, *args, **kwargs
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

_check_tensor_devices

._check_tensor_devices(
   *tensors: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

_check_tensors

._check_tensors(
   *tensors: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

_get_engine

._get_engine(
   *_: Union[Tensor, str]
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

_set_grad

._set_grad(
   tensor: Tensor, data
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

_create_tensor

._create_tensor(
   *tensors: Tensor, data, func
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

is_tensor

.is_tensor(
   obj: object
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

concat_backward

.concat_backward(
   gradient: Tensor, tensors: List[Tensor], axis: int = 0
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

stack_backward

.stack_backward(
   gradient: Tensor, tensors: List[Tensor], axis: int = 0
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

chunk_backward

.chunk_backward(
   gradient: Tensor, tensor: Tensor, chunks: int
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

view_backward

.view_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

index_select_backward

.index_select_backward(
   gradient: Tensor, inp: Tensor, index: Tensor, dim: int
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

squeeze_backward

.squeeze_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

expand_dim_backward

.expand_dim_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

transpose_backward

.transpose_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

absolute_backward

.absolute_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

around_backward

.around_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

floor_backward

.floor_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

ceil_backward

.ceil_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

clip_backward

.clip_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

negative_backward

.negative_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

summation_backward

.summation_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

mean_backward

.mean_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

std_backward

.std_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

var_backward

.var_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

add_backward

.add_backward(
   gradient: Tensor, inp1: Tensor, inp2: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

sub_backward

.sub_backward(
   gradient: Tensor, inp1: Tensor, inp2: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

mul_backward

.mul_backward(
   gradient: Tensor, inp1: Tensor, inp2: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

div_backward

.div_backward(
   gradient: Tensor, inp1: Tensor, inp2: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

power_backward

.power_backward(
   gradient: Tensor, inp: Tensor, p: int
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

clone_backward

.clone_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

relu_backward

.relu_backward(
   gradient: Tensor, inp: Tensor, alpha: float
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

sigmoid_backward

.sigmoid_backward(
   gradient: Tensor, inp: Tensor, out
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

softmax_backward

.softmax_backward(
   gradient: Tensor, inp: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

tanh_backward

.tanh_backward(
   gradient: Tensor, inp: Tensor, out: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

dense_backward

.dense_backward(
   gradient: Tensor, inp: Tensor, weight: Tensor, bias: Tensor
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

conv_backward

.conv_backward(
   gradient: Tensor, inp: Tensor, weight: Tensor, bias: Tensor, stride: int,
   padding: Union[List[int], Tuple[int]]
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

dropout_backward

.dropout_backward(
   gradient: Tensor, inp: Tensor, mask, keep_prob: float
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

batch_norm_backward

.batch_norm_backward(
   gradient: Tensor, inp: Tensor, weight: Tensor, bias: Tensor, training: bool,
   **kwargs
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

max_pool_backward

.max_pool_backward(
   gradient: Tensor, inp: Tensor, kernel_size: Union[List[int], Tuple[int]],
   stride: int, padding: Union[List[int], Tuple[int]], cache: dict
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

avg_pool_backward

.avg_pool_backward(
   gradient: Tensor, inp: Tensor, kernel_size: Union[List[int], Tuple[int]],
   stride: int, padding: Union[List[int], Tuple[int]]
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

lstm_cell_backward

.lstm_cell_backward(
   gradient, inp, all_weights, cache
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

lstm_backward

.lstm_backward(
   gradient, inp, all_weights, cache
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

concat

.concat(
   tensors: List[Tensor], axis: int = 0
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

stack

.stack(
   tensors: List[Tensor], axis: int = 0
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

chunk

.chunk(
   tensor: Tensor, chunks: int, dim: int = 0
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

view

.view(
   inp, size = None
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

index_select

.index_select(
   inp, dim, index
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

zero

.zero(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

one

.one(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

fill

.fill(
   inp, value
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

squeeze

.squeeze(
   inp, axis = None
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

expand_dim

.expand_dim(
   inp, axis = None
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

transpose

.transpose(
   inp, axes = None
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

absolute

.absolute(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

around

.around(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

floor

.floor(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

ceil

.ceil(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

clip

.clip(
   inp, min_val, max_val
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

negative

.negative(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

summation

.summation(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

mean

.mean(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

std

.std(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

var

.var(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

add

.add(
   inp1, inp2
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

sub

.sub(
   inp1, inp2
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

mul

.mul(
   inp1, inp2
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

div

.div(
   inp1, inp2
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

power

.power(
   inp, p
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

clone

.clone(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

detach

.detach(
   inp, inplace = True
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

arange

.arange(
   start = 0, stop = 0, step = 1, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

linspace

.linspace(
   start, end, steps, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

normal

.normal(
   loc = 0.0, scale = 1.0, size = None, requires_grad = False, device = 'cpu',
   dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

uniform

.uniform(
   low = -1.0, high = 1.0, size = None, requires_grad = False, device = 'cpu',
   dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

rand

.rand(
   size, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

randint

.randint(
   low = 0, high = 0, size = None, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

randn

.randn(
   size, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

eye

.eye(
   rows, columns = None, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

empty

.empty(
   size, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

full

.full(
   size, fill_value, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

zeros

.zeros(
   size, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

ones

.ones(
   size, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

normal_like

.normal_like(
   tensor, loc = 0.0, scale = 1.0, requires_grad = False, device = 'cpu',
   dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

uniform_like

.uniform_like(
   tensor, low = -1.0, high = 1.0, requires_grad = False, device = 'cpu',
   dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

rand_like

.rand_like(
   tensor, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

randint_like

.randint_like(
   tensor, low = 0, high = 0, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

randn_like

.randn_like(
   tensor, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

eye_like

.eye_like(
   tensor, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

empty_like

.empty_like(
   tensor, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

full_like

.full_like(
   tensor, fill_value, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

zeros_like

.zeros_like(
   tensor, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

ones_like

.ones_like(
   tensor, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

from_array

.from_array(
   data, requires_grad = False, device = 'cpu', dtype = 'float32'
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

to_array

.to_array(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

half

.half(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

single

.single(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

double

.double(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

cpu

.cpu(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

gpu

.gpu(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

relu

.relu(
   inp, alpha
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

sigmoid

.sigmoid(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

softmax

.softmax(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

tanh

.tanh(
   inp
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

dense

.dense(
   inp, weight, bias
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

conv

.conv(
   inp, weight, bias, stride, padding
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

dropout

.dropout(
   inp, keep_prob
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

batch_norm

.batch_norm(
   inp, weight, bias, running_mean, running_var, momentum, eps, training
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

max_pool

.max_pool(
   inp, kernel_size, stride, padding
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

avg_pool

.avg_pool(
   inp, kernel_size, stride, padding
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

lstm_cell

.lstm_cell(
   inp, all_weights
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

lstm

.lstm(
   inp, all_weights
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

adam

.adam(
   params, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, amsgrad,
   beta1, beta2, lr, weight_decay, eps
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.

---

rmsprop

.rmsprop(
   params, grads, square_avgs, alphas, momentum_buffers, grad_avgs, momentum,
   centered, lr, weight_decay, eps
)

---

Remember the transaction.

Accepts a state, action, reward, next_state, terminal transaction.

Arguments

transaction (abstract): state, action, reward, next_state, terminal transaction.