# random problems

# regular
mb1ic8_ih3oh3_kh3ph1
mb2ic128_ih4oh2_kh3
mb2ic96_ih4oh2_kh3
mb2ic64_ih1oh1_kh3ph1
mb2ic4_ih4oh4_kh3ph1
mb2ic32_ih4oh4_kh3
mb2ic32_ih13oh12_kh3
mb16ic64_ih32oh16_kh3sh2
mb4ic16_ih10oh10_kh2ph1
mb64ic64_ih56oh56_kh3ph1

# non-squared shapes
mb122ic32_ih32iw2_oh32ow2_kh3kw3_ph1pw1
mb1ic32_ih300iw500_oh151ow251_kh3kw3_sh2sw2_ph1pw1

# tails for blocked format
mb4ic17_ih6oh7_kh2ph1
mb4ic23_ih60iw60_oh31ow31_kh3kw4_sh2sw2_ph1pw1
mb4ic14_ih60iw60_oh31ow31_kh3kw2_sh2sw2_ph1pw1
mb4ic17_ih60iw60_oh31ow31_kh4kw3_sh2sw2_ph1pw1
mb4ic14_ih60iw60_oh31ow31_kh2kw3_sh2sw2_ph1pw1
mb4ic25_ih60iw60_oh31ow31_kh2kw4_sh2sw2_ph1pw1
mb4ic28_ih60iw60_oh31ow31_kh4kw2_sh2sw2_ph1pw1

# asymmetric padding
mb1ic8_ih3iw4_oh1ow5_kh3kw3_ph0pw1
mb1ic8_ih3iw14_oh1ow8_kh3kw3_sh1sw2_ph0pw1
mb1ic96_ih3iw100_oh1ow51_kh3kw3_sh1sw2_ph0pw1
mb1ic96_ih103iw9_oh52ow7_kh3kw3_sh2sw1_ph1pw0

# Tensorflow pooling corner problems
mb1ic1_ih32oh6_kh6sh6ph2
mb1ic1_ih32oh6kh6sh6ph2_iw2ow1kw1sw1pw0

# Stride along the width is large
ic35_iw42ih20_ow14oh17_kw3kh4_sw3sh1
ic35_iw45ih20_ow14oh17_kw6kh4_sw3sh1

# Stride along the height is large
ic35_iw16ih52_ow14oh17_kw3kh4_sw1sh3
ic35_iw19ih52_ow14oh17_kw6kh4_sw1sh3

# Padding along the width is minimal
ic35_iw15ih20_ow14oh17_pw1ph0_kw3kh4_sw1sh1
ic35_iw18ih20_ow14oh17_pw1ph0_kw6kh4_sw1sh1

# Padding along the height is minimal
ic35_iw16ih19_ow14oh17_pw0ph1_kw3kh4_sw1sh1
ic35_iw19ih19_ow14oh17_pw0ph1_kw6kh4_sw1sh1

# Stride dimension is more than the kernel dimension
ic35_iw10ih19_ow3oh17_pw0ph1_kw2kh4_sw4sh1
ic35_iw10ih9_ow3oh3_pw0ph1_kw2kh2_sw4sh4

# Different Input Channels
ic16_iw15ih20_ow14oh17_pw1ph0_kw3kh4_sw1sh1
ic32_iw15ih20_ow14oh17_pw1ph0_kw3kh4_sw1sh1
ic65_iw15ih20_ow14oh17_pw1ph0_kw3kh4_sw1sh1
ic130_iw10ih19_ow3oh17_pw0ph1_kw2kh4_sw4sh1
ic259_iw10ih19_ow3oh17_pw0ph1_kw2kh4_sw4sh1
ic516_iw10ih19_ow3oh17_pw0ph1_kw2kh4_sw4sh1
