pub fn quantized_conv2_dwith_bias_sum_and_relu_and_requantize<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>, T8: ToTensorHandle<'a>, T9: ToTensorHandle<'a>, T10: ToTensorHandle<'a>, T11: ToTensorHandle<'a>>(
ctx: &'a Context,
input: &T0,
filter: &T1,
bias: &T2,
min_input: &T3,
max_input: &T4,
min_filter: &T5,
max_filter: &T6,
min_freezed_output: &T7,
max_freezed_output: &T8,
summand: &T9,
min_summand: &T10,
max_summand: &T11
) -> Result<[TensorHandle<'a>; 3]>
Expand description
Shorthand for QuantizedConv2DWithBiasSumAndReluAndRequantize::new().call(&ctx, &input, &filter, &bias, &min_input, &max_input, &min_filter, &max_filter, &min_freezed_output, &max_freezed_output, &summand, &min_summand, &max_summand)
.
See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasSumAndReluAndRequantize