# random problems

# regular
mb16ic64_iw32ow16_kw3sw2

# non-squared shapes
mb1ic32_iw300_ow151_kw3_sw2_pw1

# tails for blocked format
mb4ic17_iw60_ow31_kw3_sw2_pw1pw1

# asymmetric padding
mb1ic8_iw14_ow8_kw3_sw2_pw1

# Tensorflow pooling corner problems
mb1ic1_iw2ow1kw1sw1pw0
mb1ic32_iw32ow6kw6sw6pw2

# Stride along the width is large
mb2ic5_iw42_ow14_pw0_kw3_sw3

# Padding along the width is minimal
mb2ic5_iw15_ow14_pw1_kw3_sw1

# Padding along the height is minimal
mb2ic5_iw16_ow14_pw0_kw3_sw1

# corner case problems when kernel starts working in the padded area
# Padding along the width is same as kernel width (pw == kw)
ic35_iw13_ow14_pw3_kw3_sw1
ic35_iw13_ow14_pw6_kw6_sw1

# Negative padding along the right side
ic35_iw30_ow14_pw0_kw3_sw2
ic35_iw33_ow14_pw0_kw6_sw2

# With dilation
mb16ic64_iw32ow16_kw3sw2_dw2
mb1ic32_iw300_ow151_kw3_sw2_pw1_dw3
mb4ic17_iw60_ow31_kw3_sw2_pw1pw1_dw1
mb1ic8_iw14_ow8_kw3_sw2_pw1_dw1
mb1ic1_iw2ow1kw1sw1pw0_dw1
mb2ic5_iw42_ow14_pw0_kw3_sw3_dw2
mb2ic5_iw15_ow14_pw1_kw3_sw1_dw1
mb2ic5_iw16_ow14_pw0_kw3_sw1_dw4
