*Last updated: 2023-03-16.*
# tf_quant_finance.rates.analytics.swap.ir_swap_price
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Computes prices of a batch of interest rate swaps.
```python
tf_quant_finance.rates.analytics.swap.ir_swap_price(
pay_leg_coupon_rates, receive_leg_coupon_rates, pay_leg_notional,
receive_leg_notional, pay_leg_daycount_fractions,
receive_leg_daycount_fractions, pay_leg_discount_factors,
receive_leg_discount_factors, dtype=None, name=None
)
```
#### Example
```python
pay_leg_coupon_rates = [[0.1], [0.15]]
receive_leg_coupon_rates = [[0.1, 0.2, 0.05], [0.1, 0.05, 0.2]]
notional = 1000
pay_leg_daycount_fractions = 0.5
receive_leg_daycount_fractions = [[0.5, 0.5, 0.5], [0.4, 0.5, 0.6]]
discount_factors = [[0.95, 0.9, 0.85], [0.98, 0.92, 0.88]]
ir_swap_price(
pay_leg_coupon_rates=pay_leg_coupon_rates,
receive_leg_coupon_rates=receive_leg_coupon_rates,
pay_leg_notional=notional,
receive_leg_notional=notional,
pay_leg_daycount_fractions=pay_leg_daycount_fractions,
receive_leg_daycount_fractions=receive_leg_daycount_fractions,
pay_leg_discount_factors=discount_factors,
receive_leg_discount_factors=discount_factors,
dtype=tf.float64)
# Expected: [23.75, -40.7]
```
#### Args:
* `pay_leg_coupon_rates`: A real `Tensor` of shape
`batch_shape + [num_pay_cashflows]`, where `num_pay_cashflows` is the
number of cashflows for each batch element. Coupon rates for the paying
leg.
* `receive_leg_coupon_rates`: A `Tensor` of the same `dtype` as
`pay_leg_coupon_rates` and of shape
`batch_shape + [num_receive_cashflows]`, where `num_receive_cashflows` is
the number of cashflows for each batch element. Coupon rates the
receiving leg.
* `pay_leg_notional`: A `Tensor` of the same `dtype` as `pay_leg_coupon_rates`
and of compatible shape. Notional amount for each cashflow.
* `receive_leg_notional`: A `Tensor` of the same `dtype` as
`receive_leg_coupon_rates` and of compatible shape. Notional amount for
each cashflow.
* `pay_leg_daycount_fractions`: A `Tensor` of the same `dtype` as
`pay_leg_coupon_rates` and of compatible shape. Year fractions for the
coupon accrual.
* `receive_leg_daycount_fractions`: A `Tensor` of the same `dtype` as
`receive_leg_coupon_rates` and of compatible shape. Year fractions for
the coupon accrual.
* `pay_leg_discount_factors`: A `Tensor` of the same `dtype` as
`pay_leg_coupon_rates` and of compatible shape. Discount factors for each
cashflow of the pay leg.
* `receive_leg_discount_factors`: A `Tensor` of the same `dtype` as
`pay_leg_coupon_rates` and of compatible shape. Discount factors for each
cashflow of the receive leg.
* `dtype`: `tf.Dtype`. If supplied the dtype for the input and output `Tensor`s.
Default value: None which maps to the default dtype inferred from
`pay_leg_coupon_rates`.
* `name`: Python str. The name to give to the ops created by this function.
Default value: None which maps to 'equity_swap_price'.
#### Returns:
A `Tensor` of the same `dtype` as `pay_leg_coupon_rates` and of shape
`batch_shape`. Present values of the interest rate swaps.