Supported operators [MXNet]

Deconvolution
LayerNorm
Pad
SwapAxis
_contrib_arange_like
_contrib_interleaved_matmul_encdec_qk
_contrib_interleaved_matmul_encdec_valatt
_contrib_interleaved_matmul_selfatt_qk
_contrib_interleaved_matmul_selfatt_valatt
arctan
broadcast_like
cos
erf
pad
sin
slice_axis

To see a list of supported operators for MXNet, run the following command:

neuron-cc list-operators --framework MXNET

Neuron Compiler Release [1.2.7.0]

No changes

Neuron Compiler Release [1.2.2.0]

No changes

Neuron Compiler Release [1.0.24045.0]

Added _contrib_div_sqrt_dim, broadcast_axis

Neuron Compiler Release [1.0.18001.0]

No changes

Neuron Compiler Release [1.0.17937.0]

No changes

Neuron Compiler Release [1.0.16861.0]

Removed log (Was erroneously reported as added in previous release. )

Neuron Compiler Release [1.0.15275]

Added log

Neuron Compiler Release [1.0.12696]

No changes

Neuron Compiler Release [1.0.9410]

No changes

Neuron Compiler Release [1.0.7878]

No changes

Neuron Compiler Release [1.0.6801]

No changes

Neuron Compiler Release [1.0.5939]

no changes

Neuron Compiler Release [1.0.5301]

no changes

Neuron Compiler Release [1.0.4680.0]

Activation
BatchNorm
Cast
Concat
Convolution
Convolution_v1
Dropout
Flatten
FullyConnected
LeakyReLU
Pooling
Pooling_v1
RNN
Reshape
SequenceMask
SliceChannel
Softmax
UpSampling
__add_scalar__
__div_scalar__
__mul_scalar__
__pow_scalar__
__rdiv_scalar__
__rpow_scalar__
__rsub_scalar__
__sub_scalar__
_arange
_copy
_div_scalar
_equal_scalar
_full
_greater_equal_scalar
_greater_scalar
_lesser_equal_scalar
_lesser_scalar
_maximum
_maximum_scalar
_minimum
_minimum_scalar
_minus_scalar
_mul_scalar
_not_equal_scalar
_ones
_plus_scalar
_power_scalar
_rdiv_scalar
_rminus_scalar
_rnn_param_concat
_zeros
batch_dot
broadcast_add
broadcast_div
broadcast_equal
broadcast_greater
broadcast_greater_equal
broadcast_lesser
broadcast_lesser_equal
broadcast_maximum
broadcast_minimum
broadcast_mod
broadcast_mul
broadcast_not_equal
broadcast_sub
ceil
clip
concat
elemwise_add
elemwise_div
elemwise_mul
elemwise_sub
exp
expand_dims
flatten
floor
gather_nd
log
log_softmax
max
mean
min
negative
ones_like
relu
repeat
reshape
reshape_like
reverse
rsqrt
sigmoid
slice
slice_like
softmax
split
sqrt
square
squeeze
stack
sum
tanh
tile
transpose
where
zeros_like