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MegEngine 天元
MegEngine
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MegEngine 天元
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MegEngine
1 年多 前同步成功
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Created with Raphaël 2.2.0
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fix(mge): fix cpp trace function release
refactor(mge): add specialized grad rule support
test(mge/autodiff): add test for weird error
refactor(imperative): remove multidispatch, raw_tensor, register
feat(mge): restore Function
feat(mge): add python custom op
refactor(mge): refactor to prepare for custom grad rules
test(mge): fix megbrain_graph/cgtools test
fix(mge): fix none return value for attrs, add test_correctness
refactor(mge/imperative): fix compilation for Python 3.5
perf(mge/imperative): move convert_inputs from python to C++
feat(mge/imperative): implement trace and dump under new core implementation
perf(mge/imperative): add mini graph to partially replace proxy graph
refactor(mge/tensor): remove old implementation
refactor(mge/imperative): migrate to new core implementation
refactor(mge/imperative): move detach into C++
refactor(mge/imperative): implement new tensor system
chore(third_party): add range-v3 as third_party dependency
fix(mgb/opr): move NVOF opr's shape inference to execute part
feat(opr): add param(axis) for GetVarShape
fix(mge/imperative): fix op specializations and tuple hash
test(mge/autodiff): validate grad is set to None when no dependency
feat(mge/imperative): basic impl of python c extension for opdef
refactor(mge/distributed): sync interpreter for distribtued launcher
feat(mgb/gopt): add opt pass for fusing convolution and reformat
feat(dnn/cuda): add cutlass impls for fused convolution reformat operation
feat(dnn/cuda): add a cutlass impl for fusing convolution and dimshuffle
feat(dnn/cuda): add impl for fusing warp perspective and dimshuffle
fix(mgb/core): fix memory management release cambricon var issue
fix(mgb/jit): lower FuncOp to GPUFuncOp directly
build(imperative): clean develop before build imperative and mgb
refactor(mge/virtualdep): remove virtualdep opdef
feat(mge/trace): tracing use id to set priority
fix(mgb/jit): add bind_shape feature to MLIRCompiler
perf(imperative): add apply_on_physical_tensor for Elemwise
fix(asan/thread): fix asan issue
fix(dnn): forbid pooling window size smaller than padding
fix(imperative): add param(axis) for GetVarShape
fix(mge/quantization): fix `qat.conv_bn` parameter issue
test(mge/quantization): qat module, quantized op and module
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