Comments (1)
torch.nn.functional operators
non-linear activations
- elu
- gelu
- relu
- relu6
- celu
- hardsigmoid
- sigmoid
- hardtanh
- mish
- softmax
- hardsoftmax
- softmin
- softsign
- leaky_relu
- clip
- prelu
- silu
- hardswish
- logsigmoid
- hardshrink
- softplus
- tanhshrink
- softshrink
- normalize
- batch_norm
- group_norm
- layer_norm
- instance_norm
convolution operators
- conv1d
- conv2d
- conv3d
- conv1d_transpose
- conv2d_transpose
- conv3d_transpose
linear functions
- linear
- bilinear
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Related Issues (20)
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- Some generated cuda kernel's input's shape is 0
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- nope
- [FEATURE] Meet an undefined operator when compiling NASNet HOT 3
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- [Bug] Lambda and numpy() cannot coexist in a script HOT 1
- [Bug] ops.concat does not work the same as torch.cat
- [Bug] Pickle.loads have python deserialization attacks HOT 1
- Google Colab: KeyError Primitive function cuda_i64_to_f16 has already registered
- [Bug] hidet.ops.conv2d fails to compile for CUDA fp16 HOT 2
- Google Colab: OSError: Can not find library in the following directory
- [Bug] Repeated include statements within the same source.cu/source.cc file
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- [Bug] Need to port Publish to PyPl workflow to ARC cluster HOT 5
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