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tf.raw_ops.LSTMBlockCellGrad Stay organized with collections Save and categorize content based on your preferences.

Computes the LSTM cell backward propagation for 1 timestep.

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Compat aliases for migration

tf.compat.v1.raw_ops.LSTMBlockCellGrad

tf.raw_ops.LSTMBlockCellGrad(
    x,
    cs_prev,
    h_prev,
    w,
    wci,
    wcf,
    wco,
    b,
    i,
    cs,
    f,
    o,
    ci,
    co,
    cs_grad,
    h_grad,
    use_peephole,
    name=None
)

This implementation is to be used in conjunction of LSTMBlockCell.

Args

x A Tensor. Must be one of the following types: half, float32. The input to the LSTM cell, shape (batch_size, num_inputs).
cs_prev A Tensor. Must have the same type as x. The previous cell state.
h_prev A Tensor. Must have the same type as x. The previous h state.
w A Tensor. Must have the same type as x. The weight matrix.
wci A Tensor. Must have the same type as x. The weight matrix for input gate peephole connection.
wcf A Tensor. Must have the same type as x. The weight matrix for forget gate peephole connection.
wco A Tensor. Must have the same type as x. The weight matrix for output gate peephole connection.
b A Tensor. Must have the same type as x. The bias vector.
i A Tensor. Must have the same type as x. The input gate.
cs A Tensor. Must have the same type as x. The cell state before the tanh.
f A Tensor. Must have the same type as x. The forget gate.
o A Tensor. Must have the same type as x. The output gate.
ci A Tensor. Must have the same type as x. The cell input.
co A Tensor. Must have the same type as x. The cell after the tanh.
cs_grad A Tensor. Must have the same type as x. The current gradient of cs.
h_grad A Tensor. Must have the same type as x. The gradient of h vector.
use_peephole A bool. Whether the cell uses peephole connections.
name A name for the operation (optional).

Args
`x`	A `Tensor`. Must be one of the following types: `half`, `float32`. The input to the LSTM cell, shape (batch_size, num_inputs).
`cs_prev`	A `Tensor`. Must have the same type as `x`. The previous cell state.
`h_prev`	A `Tensor`. Must have the same type as `x`. The previous h state.
`w`	A `Tensor`. Must have the same type as `x`. The weight matrix.
`wci`	A `Tensor`. Must have the same type as `x`. The weight matrix for input gate peephole connection.
`wcf`	A `Tensor`. Must have the same type as `x`. The weight matrix for forget gate peephole connection.
`wco`	A `Tensor`. Must have the same type as `x`. The weight matrix for output gate peephole connection.
`b`	A `Tensor`. Must have the same type as `x`. The bias vector.
`i`	A `Tensor`. Must have the same type as `x`. The input gate.
`cs`	A `Tensor`. Must have the same type as `x`. The cell state before the tanh.
`f`	A `Tensor`. Must have the same type as `x`. The forget gate.
`o`	A `Tensor`. Must have the same type as `x`. The output gate.
`ci`	A `Tensor`. Must have the same type as `x`. The cell input.
`co`	A `Tensor`. Must have the same type as `x`. The cell after the tanh.
`cs_grad`	A `Tensor`. Must have the same type as `x`. The current gradient of cs.
`h_grad`	A `Tensor`. Must have the same type as `x`. The gradient of h vector.
`use_peephole`	A `bool`. Whether the cell uses peephole connections.
`name`	A name for the operation (optional).

Returns

A tuple of Tensor objects (cs_prev_grad, dicfo, wci_grad, wcf_grad, wco_grad).

cs_prev_grad A Tensor. Has the same type as x.
dicfo A Tensor. Has the same type as x.
wci_grad A Tensor. Has the same type as x.
wcf_grad A Tensor. Has the same type as x.
wco_grad A Tensor. Has the same type as x.

Returns
A tuple of `Tensor` objects (cs_prev_grad, dicfo, wci_grad, wcf_grad, wco_grad).
`cs_prev_grad`	A `Tensor`. Has the same type as `x`.
`dicfo`	A `Tensor`. Has the same type as `x`.
`wci_grad`	A `Tensor`. Has the same type as `x`.
`wcf_grad`	A `Tensor`. Has the same type as `x`.
`wco_grad`	A `Tensor`. Has the same type as `x`.

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Last updated 2024-04-26 UTC.

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tf.raw_ops.LSTMBlockCellGrad Stay organized with collections Save and categorize content based on your preferences.

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