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[0-size Tensor No.158] Add 0-size Tensor support for channel_shuffle #72924

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Merged
merged 2 commits into from
May 27, 2025
Merged

[0-size Tensor No.158] Add 0-size Tensor support for channel_shuffle #72924

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6c79815
Fix
co63oc May 25, 2025
5ff9012
Merge branch 'develop' into b23
co63oc May 26, 2025
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3 changes: 3 additions & 0 deletions paddle/phi/kernels/impl/channel_shuffle_grad_kernel_impl.h
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,9 @@ void ChannelShuffleGradKernel(const Context& dev_ctx,
auto* dout = &out_grad;
auto* dx = x_grad;
dev_ctx.template Alloc<T>(dx);
if (dx && dx->numel() == 0) {
return;
}
bool channel_last = (data_format == "NHWC");
const auto& do_dims = dout->dims();
const auto& dx_dims = dx->dims();
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3 changes: 3 additions & 0 deletions paddle/phi/kernels/impl/channel_shuffle_kernel_impl.h
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Expand Up @@ -30,6 +30,9 @@ void ChannelShuffleKernel(const Context& dev_ctx,
DenseTensor* out) {
auto* in = &x;
dev_ctx.template Alloc<T>(out);
if (out && out->numel() == 0) {
return;
}
bool channel_last = (data_format == "NHWC");
const auto& in_dims = in->dims();
const auto& o_dims = out->dims();
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11 changes: 10 additions & 1 deletion test/legacy_test/test_channel_shuffle.py
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Expand Up @@ -45,8 +45,9 @@ class TestChannelShuffleOp(OpTest):
def setUp(self):
self.op_type = "channel_shuffle"
self.init_dtype()
self.init_shape()
self.init_data_format()
n, c, h, w = 2, 9, 4, 4
n, c, h, w = self.shape
self.python_api = paddle.nn.functional.channel_shuffle

if self.format == "NCHW":
Expand All @@ -63,6 +64,9 @@ def setUp(self):
self.outputs = {'Out': npresult}
self.attrs = {'groups': groups, "data_format": self.format}

def init_shape(self):
self.shape = [2, 9, 4, 4]

def init_dtype(self):
self.dtype = 'float64'

Expand All @@ -81,6 +85,11 @@ def init_data_format(self):
self.format = "NHWC"


class TestChannelLast_ZeroSize(TestChannelShuffleOp):
def init_shape(self):
self.shape = [2, 9, 0, 4]


class TestChannelShuffleAPI(unittest.TestCase):
def setUp(self):
self.x_2_np = np.random.random([2, 4, 4, 9]).astype("float64")
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