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[0-size Tensor No.26、289] Add 0-size Tensor support for bmm #73108

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Merged
merged 1 commit into from
Jun 6, 2025
Merged

[0-size Tensor No.26、289] Add 0-size Tensor support for bmm #73108

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12 changes: 12 additions & 0 deletions paddle/phi/kernels/impl/bmm_grad_kernel_impl.h
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Original file line number Diff line number Diff line change
Expand Up @@ -54,6 +54,18 @@ void BmmGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
DenseTensor* x_grad,
DenseTensor* y_grad) {
if (x_grad && x_grad->numel() == 0) {
dev_ctx.template Alloc<T>(x_grad);
phi::Full<T, Context>(
dev_ctx, phi::IntArray(common::vectorize(y.dims())), 0, y_grad);
return;
}
if (y_grad && y_grad->numel() == 0) {
dev_ctx.template Alloc<T>(y_grad);
phi::Full<T, Context>(
dev_ctx, phi::IntArray(common::vectorize(x.dims())), 0, x_grad);
return;
}
DenseTensor x_help = x;
DenseTensor y_help = y;
DenseTensor out_grad_help = out_grad;
Expand Down
13 changes: 13 additions & 0 deletions paddle/phi/kernels/xpu/bmm_grad_kernel.cc
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Expand Up @@ -14,6 +14,7 @@

#include "paddle/phi/kernels/bmm_grad_kernel.h"

#include "paddle/phi/kernels/full_kernel.h"
#include "paddle/phi/kernels/xpu/bmm_xpu_utils.h"

namespace phi {
Expand Down Expand Up @@ -60,6 +61,18 @@ void BmmGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
DenseTensor* x_grad,
DenseTensor* y_grad) {
if (x_grad && x_grad->numel() == 0) {
dev_ctx.template Alloc<T>(x_grad);
phi::Full<T, Context>(
dev_ctx, phi::IntArray(common::vectorize(y.dims())), 0, y_grad);
return;
}
if (y_grad && y_grad->numel() == 0) {
dev_ctx.template Alloc<T>(y_grad);
phi::Full<T, Context>(
dev_ctx, phi::IntArray(common::vectorize(x.dims())), 0, x_grad);
return;
}
DenseTensor x_help = x;
DenseTensor y_help = y;
DenseTensor out_grad_help = out_grad;
Expand Down
18 changes: 18 additions & 0 deletions test/legacy_test/test_bmm_op.py
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Expand Up @@ -156,5 +156,23 @@ def test_api_error(self):
self.assertRaises(ValueError, paddle.bmm, x_data, y_data_wrong3)


class TestBmmOp_ZeroSize(OpTest):
def setUp(self):
self.op_type = "bmm"
self.python_api = paddle.bmm
self.public_python_api = paddle.bmm
X = np.random.random((10, 0, 4)).astype("float64")
Y = np.random.random((10, 4, 5)).astype("float64")
self.inputs = {'X': X, 'Y': Y}
Out = np.matmul(X, Y)
self.outputs = {'Out': Out}

def test_check_output(self):
self.check_output(check_pir=True)

def test_checkout_grad(self):
self.check_grad(['X', 'Y'], 'Out', check_pir=True)


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