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[0 Tensor support] support the 0d tensor for the cumsum #49518

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merged 4 commits into from
Jan 18, 2023

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wawltor
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@wawltor wawltor commented Jan 3, 2023

PR types

Function optimization

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OPs

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support the 0d tensor for the cumsum and add_n

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@wawltor wawltor changed the title support the 0d tensor for the cumsum and add_n [0 Tensor support] support the 0d tensor for the cumsum and add_n Jan 5, 2023
@@ -86,6 +86,7 @@
paddle.lgamma,
paddle.poisson,
paddle.bernoulli,
paddle.cumsum,
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这个单独写吧,因为None的时候相当于先做一个展平1D,较特殊
然后axis要加检查,0D时axis只能None,0,-1(None时会做展平)

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这个单独写吧,因为None的时候相当于先做一个展平1D,较特殊 然后axis要加检查,0D时axis只能None,0,-1(None时会做展平)

已经单独展开

out1.backward()
out2.backward()

self.assertEqual(out1.shape, [])
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可以再测下广播的,加个x是ND的
反向的shape测试可以再加个x.grad.shape

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可以再测下广播的,加个x是ND的 反向的shape测试可以再加个x.grad.shape

add_n 本身api不支持广播

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可以再测下广播的,加个x是ND的 反向的shape测试可以再加个x.grad.shape

add_n 本身api不支持广播

OK

@@ -30,6 +30,11 @@ void CumsumKernel(const Context& dev_ctx,
using XPUType = typename XPUTypeTrait<T>::Type;
dev_ctx.template Alloc<T>(out);

if (x.dims().size() == 0) {
phi::Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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XPU的应该得这么写:

r = xpu::copy<XPUTypeT>(xpu_ctx,
                                d_qk_ptr,
                                d_src_mask_out_ptr,
                                batch_size * seq_len * seq_len * num_heads);
PADDLE_ENFORCE_XDNN_SUCCESS(r, "copy");

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XPU的应该得这么写:

r = xpu::copy<XPUTypeT>(xpu_ctx,
                                d_qk_ptr,
                                d_src_mask_out_ptr,
                                batch_size * seq_len * seq_len * num_heads);
PADDLE_ENFORCE_XDNN_SUCCESS(r, "copy");

Done

@@ -360,7 +362,11 @@ void AddNInferMeta(const std::vector<const MetaTensor*>& x,
}
}
}
out->set_dims(in_dim);
if (is_0d_tensor) {
out->set_dims(phi::make_ddim({}));
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这样的话广播功能还在吗

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add_n 本身api不支持广播

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add_n 本身api不支持广播

OK

@@ -87,6 +87,7 @@
paddle.lgamma,
paddle.poisson,
paddle.bernoulli,
paddle.cumsum,
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同上

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同上

已经单独展开单测

@@ -412,14 +412,18 @@ void CumInferMeta(const MetaTensor& x,
bool reverse,
MetaTensor* out) {
auto x_dims = x.dims();
auto x_dims_all = phi::product(x_dims);
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目前这个逻辑是对的,如果flatten后应该都为1D
非flatten就和原来shape一致,但是要检查axis,0D较特殊,axis必须[-1, 0]

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目前这个逻辑是对的,如果flatten后应该都为1D 非flatten就和原来shape一致,但是要检查axis,0D较特殊,axis必须[-1, 0]

已经做了axis的check和单测

@@ -311,6 +312,7 @@ void AddNInferMeta(const std::vector<const MetaTensor*>& x,
}
// for 0D tensor
if (x_dim.size() == 0) {
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写法上可以去掉这里试试,不过可能会触发历史问题

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写法上可以去掉这里试试,不过可能会触发历史问题

会触发历史问题

@@ -360,7 +362,11 @@ void AddNInferMeta(const std::vector<const MetaTensor*>& x,
}
}
}
out->set_dims(in_dim);
if (is_0d_tensor) {
out->set_dims(phi::make_ddim({}));
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add_n 本身api不支持广播

OK

@wawltor wawltor changed the title [0 Tensor support] support the 0d tensor for the cumsum and add_n [0 Tensor support] support the 0d tensor for the cumsum Jan 17, 2023
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LGTM

@wawltor wawltor merged commit 5fca45e into PaddlePaddle:develop Jan 18, 2023
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2 participants