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[Zero-Dim] support ONEDNN 0D for full_kernel #51265

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Mar 9, 2023
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[Zero-Dim] support ONEDNN 0D for full_kernel #51265

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3 changes: 3 additions & 0 deletions paddle/phi/backends/onednn/onednn_helper.h
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Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,9 @@ inline OneDNNMemoryFormat OneDNNFormatForSize(size_t dims_size,

inline dnnl::memory::format_tag GetPlainOneDNNFormat(int tensor_rank) {
switch (tensor_rank) {
case 0:
// use 1D to represent 0D
return dnnl::memory::format_tag::a;
case 1:
return dnnl::memory::format_tag::a;
case 2:
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2 changes: 1 addition & 1 deletion paddle/phi/kernels/onednn/transpose_grad_kernel.cc
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Expand Up @@ -30,7 +30,7 @@ void TransposeGradKernel(const Context& dev_ctx,

const auto& onednn_engine = dev_ctx.GetEngine();

if (axis.size() == 1) {
if (axis.size() == 1 || axis.size() == 0) {
Copy<Context>(dev_ctx, out_grad, out_grad.place(), false, x_grad);
x_grad->set_mem_desc(out_grad.mem_desc());
return;
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2 changes: 1 addition & 1 deletion paddle/phi/kernels/onednn/transpose_kernel.cc
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Expand Up @@ -112,7 +112,7 @@ void TransposeKernel(const Context& dev_ctx,
SetInMemDescWithLogicalLayoutFusesSupport(
dev_ctx, const_cast<DenseTensor*>(&x), x.mem_desc());

if (axis.size() == 1) {
if (axis.size() == 1 || axis.size() == 0) {
Copy<Context>(dev_ctx, x, x.place(), false, out);
out->set_mem_desc(x.mem_desc());
return;
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6 changes: 6 additions & 0 deletions python/paddle/fluid/tests/unittests/mkldnn/test_transpose_mkldnn_op.py
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Expand Up @@ -87,5 +87,11 @@ def initTestCase(self):
self.axis = (4, 2, 3, 1, 0, 5)


class TestCase_ZeroDim(TestTransposeMKLDNN):
def initTestCase(self):
self.shape = ()
self.axis = ()


if __name__ == '__main__':
unittest.main()