[OpenCLML] Transposed convolution support and other fixes#14767
[OpenCLML] Transposed convolution support and other fixes#14767echuraev merged 3 commits intoapache:mainfrom
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Added support for transposed convolution. Epsilon support for batchnorm op added - part of v3.0. CLML version query bug fixed.
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echuraev
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Thank you for your PR. In general LGTM. Some minor comments.
| name = "conv2d_transpose"; | ||
| const auto* conv_transpose_attr = nodes.conv->attrs.as<Conv2DTransposeAttrs>(); | ||
| ICHECK(conv_transpose_attr); | ||
| ICHECK(conv_transpose_attr->kernel_layout == "OIHW") |
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Is it necessary to check kernel_layout here? You have already done it in python/tvm/relay/op/contrib/clml.py. If it is not necessary, then probably the same checks can be removed for convolution.
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I will remove this check in python frontend. Codegen is the final component to make sure we don't generate incompatible code.
| """Utility function to get clml version version""" | ||
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| return tvm.support.libinfo().get("TVM_CLML_VERSION", 2) | ||
| return int(tvm.support.libinfo().get("CLML_VERSION_MAJOR", 2)) |
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Why did you change TVM_CLML_VERSION on CLML_VERSION_MAJOR?
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The version check from libinfo was broken earlier and not functional. TVM_CLML_VERSION was compiler flag and cmake option is CLML_VERSION_MAJOR. We can maintain same for both.
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Added support for transposed convolution.
Epsilon support for batchnorm op added - part of v3.0. CLML version query bug fixed.