anijain2305 commented on a change in pull request #4816: [TFLite] Using real
image for QNN testing.
URL: https://github.com/apache/incubator-tvm/pull/4816#discussion_r375424616
##########
File path: python/tvm/relay/frontend/tflite.py
##########
@@ -1124,10 +1124,14 @@ def convert_conv(self, op, conv_type):
pad_left, pad_right = get_pad_value(input_w, dilated_kernel_w,
stride_w)
do_pad = not (pad_top == 0 and pad_bottom == 0 and pad_left == 0
and pad_right == 0)
if do_pad:
+ pad_value = 0
+ if input_tensor.qnn_params:
+ pad_value =
get_scalar_from_constant(input_tensor.qnn_params['zero_point'])
in_expr = _op.nn.pad(data=in_expr, pad_width=((0, 0),
(pad_top,
pad_bottom),
(pad_left,
pad_right),
- (0, 0)))
+ (0, 0)),
pad_value=float(pad_value))
Review comment:
Zhao meant just single pad operator, not the pad in conv. I will fix it.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
