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Fix set value grad #59034

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merged 7 commits into from
Dec 25, 2023
Merged

Fix set value grad #59034

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29eaaa1
first fix the UT
zoooo0820 Nov 15, 2023
8a5f39f
fix set value grad
zoooo0820 Nov 15, 2023
c833770
polish code
zoooo0820 Nov 16, 2023
6cc1f71
add static mode backward test
zoooo0820 Nov 17, 2023
6dae6f7
Merge branch 'develop' into fix_set_value_grad
zoooo0820 Dec 20, 2023
5005daf
always has input valuetensor
zoooo0820 Dec 20, 2023
f24fd45
add dygraph test
zoooo0820 Dec 21, 2023
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44 changes: 19 additions & 25 deletions paddle/fluid/operators/set_value_op.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -151,32 +151,26 @@ class SetValueGradMaker : public framework::SingleGradOpMaker<T> {

protected:
void Apply(GradOpPtr<T> op) const override {
if (this->HasInput("ValueTensor")) {
op->SetType("set_value_grad");

op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
op->SetInput("ValueTensor", this->Input("ValueTensor"));
if (this->HasInput("StartsTensorList")) {
op->SetInput("StartsTensorList", this->Input("StartsTensorList"));
}
if (this->HasInput("EndsTensorList")) {
op->SetInput("EndsTensorList", this->Input("EndsTensorList"));
}
if (this->HasInput("StepsTensorList")) {
op->SetInput("StepsTensorList", this->Input("StepsTensorList"));
}

op->SetAttrMap(this->Attrs());

op->SetOutput(framework::GradVarName("ValueTensor"),
this->InputGrad("ValueTensor"));
op->SetOutput(framework::GradVarName("Input"), this->InputGrad("Input"));

} else {
op->SetType("assign");
op->SetInput("X", this->OutputGrad("Out"));
op->SetOutput("Out", this->InputGrad("Input"));
op->SetType("set_value_grad");
op->SetInput("ValueTensor", this->Input("ValueTensor"));
op->SetOutput(framework::GradVarName("ValueTensor"),
this->InputGrad("ValueTensor"));

op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));

if (this->HasInput("StartsTensorList")) {
op->SetInput("StartsTensorList", this->Input("StartsTensorList"));
}
if (this->HasInput("EndsTensorList")) {
op->SetInput("EndsTensorList", this->Input("EndsTensorList"));
}
if (this->HasInput("StepsTensorList")) {
op->SetInput("StepsTensorList", this->Input("StepsTensorList"));
}

op->SetAttrMap(this->Attrs());

op->SetOutput(framework::GradVarName("Input"), this->InputGrad("Input"));
}
};

Expand Down
6 changes: 3 additions & 3 deletions paddle/phi/api/yaml/legacy_backward.yaml
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Expand Up @@ -614,14 +614,14 @@

- backward_op : set_value_grad
forward : set_value (Tensor x, IntArray starts, IntArray ends, IntArray steps, int64_t[] axes, int64_t[] decrease_axes, int64_t[] none_axes, int64_t[] shape, Scalar[] values) -> Tensor(out)
args : (Tensor out_grad)
args : (Tensor out_grad, IntArray starts, IntArray ends, IntArray steps, int64_t[] axes, int64_t[] decrease_axes, int64_t[] none_axes)
output : Tensor(x_grad)
infer_meta:
func: UnchangedInferMeta
param: [out_grad]
kernel:
func: assign
param: [out_grad]
func: set_value_with_scalar_grad
param: [out_grad, starts, ends, steps, axes, decrease_axes, none_axes]

- backward_op : set_value_with_tensor_grad
forward: set_value_with_tensor (Tensor x, Tensor values, IntArray starts, IntArray ends, IntArray steps, int64_t[] axes, int64_t[] decrease_axes, int64_t[] none_axes) -> Tensor(out)
Expand Down
17 changes: 17 additions & 0 deletions paddle/phi/kernels/cpu/set_value_grad_kernel.cc
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Expand Up @@ -35,3 +35,20 @@ PD_REGISTER_KERNEL(set_value_grad,
phi::dtype::float16,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}

PD_REGISTER_KERNEL(set_value_with_scalar_grad,
CPU,
ALL_LAYOUT,
phi::SetValueWithScalarGradKernel,
float,
double,
int,
int64_t,
bool,
int16_t,
uint8_t,
int8_t,
phi::dtype::bfloat16,
phi::dtype::float16,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
17 changes: 17 additions & 0 deletions paddle/phi/kernels/gpu/set_value_grad_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -35,3 +35,20 @@ PD_REGISTER_KERNEL(set_value_grad,
phi::dtype::bfloat16,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}

PD_REGISTER_KERNEL(set_value_with_scalar_grad,
GPU,
ALL_LAYOUT,
phi::SetValueWithScalarGradKernel,
float,
double,
int,
int64_t,
bool,
int16_t,
uint8_t,
int8_t,
phi::dtype::float16,
phi::dtype::bfloat16,
phi::dtype::complex<float>,
phi::dtype::complex<double>) {}
22 changes: 22 additions & 0 deletions paddle/phi/kernels/impl/set_value_grad_kernel_impl.h
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Original file line number Diff line number Diff line change
Expand Up @@ -341,4 +341,26 @@ void SetValueGradKernel(const Context& dev_ctx,
}
}

template <typename T, typename Context>
void SetValueWithScalarGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
const IntArray& starts,
const IntArray& ends,
const IntArray& steps,
const std::vector<int64_t>& axes,
const std::vector<int64_t>& decrease_axes,
const std::vector<int64_t>& none_axes,
DenseTensor* x_grad) {
SetValueGradKernel<T, Context>(dev_ctx,
out_grad,
starts,
ends,
steps,
axes,
decrease_axes,
none_axes,
x_grad,
nullptr);
}

} // namespace phi
10 changes: 10 additions & 0 deletions paddle/phi/kernels/set_value_grad_kernel.h
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Expand Up @@ -32,4 +32,14 @@ void SetValueGradKernel(const Context& dev_ctx,
DenseTensor* x_grad,
DenseTensor* value_grad);

template <typename T, typename Context>
void SetValueWithScalarGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
const IntArray& starts,
const IntArray& ends,
const IntArray& steps,
const std::vector<int64_t>& axes,
const std::vector<int64_t>& decrease_axes,
const std::vector<int64_t>& none_axes,
DenseTensor* x_grad);
} // namespace phi
31 changes: 31 additions & 0 deletions paddle/phi/kernels/xpu/set_value_grad_kernel.cc
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Expand Up @@ -397,6 +397,28 @@ void SetValueGradKernel(const Context& dev_ctx,
}
}

template <typename T, typename Context>
void SetValueWithScalarGradKernel(const Context& dev_ctx,
const DenseTensor& out_grad,
const IntArray& starts,
const IntArray& ends,
const IntArray& steps,
const std::vector<int64_t>& axes,
const std::vector<int64_t>& decrease_axes,
const std::vector<int64_t>& none_axes,
DenseTensor* x_grad) {
SetValueGradKernel<T, Context>(dev_ctx,
out_grad,
starts,
ends,
steps,
axes,
decrease_axes,
none_axes,
x_grad,
nullptr);
}

} // namespace phi

PD_REGISTER_KERNEL(set_value_grad,
Expand All @@ -407,3 +429,12 @@ PD_REGISTER_KERNEL(set_value_grad,
phi::dtype::float16,
int,
int64_t) {}

PD_REGISTER_KERNEL(set_value_with_scalar_grad,
XPU,
ALL_LAYOUT,
phi::SetValueWithScalarGradKernel,
float,
phi::dtype::float16,
int,
int64_t) {}
82 changes: 82 additions & 0 deletions test/legacy_test/test_set_value_op.py
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Expand Up @@ -1978,5 +1978,87 @@ def test_check_grad(self):
self.check_grad_with_place(place, ['Input'], 'Out', check_dygraph=False)


class TestSetValueWithScalarInStatic(unittest.TestCase):
def setUp(self):
paddle.enable_static()
self.shape = (10, 2)
self.exe = paddle.static.Executor()
self.train_program = paddle.static.Program()
self.startup_program = paddle.static.Program()

def test_value_input_is_scalar(self):
with paddle.static.program_guard(
self.train_program, self.startup_program
):
x = paddle.ones(self.shape)
x.stop_gradient = False
y = x * 1

# mock test case x[0, 0] = 10 with no ValueTensor input
inputs = {
'Input': y,
}
attrs = {
'axes': [0, 1],
'starts': [0, 0],
'ends': [1, 1],
'steps': [1, 1],
'values': [10],
'shape': [1],
}

helper = LayerHelper("set_value")
out = helper.create_variable_for_type_inference(dtype=y.dtype)

helper.append_op(
type="set_value",
inputs=inputs,
outputs={'Out': out},
attrs=attrs,
)

np_data = np.ones(self.shape).astype('float32')

paddle.static.append_backward(out.sum())
res = self.exe.run(
self.train_program, fetch_list=[out, x.grad_name]
)

np_data[0, 0] = 10
expected_x_grad = np.ones(self.shape)
expected_x_grad[0, 0] = 0

np.testing.assert_array_equal(res[0], np_data)
np.testing.assert_array_equal(res[1], expected_x_grad)


class TestSetValueWithScalarInDygraph(unittest.TestCase):
def setUp(self):
paddle.disable_static()
self.shape = (10, 2)

def test_value_input_is_scalar(self):
x = paddle.ones(self.shape)
x.stop_gradient = False
y = x * 1

# mock test case x[0, 0] = 10 with no ValueTensor input
out = paddle._C_ops.set_value(
y, [0, 0], [1, 1], [1, 1], [0, 1], [], [], [1], [10.0]
)

loss = out.sum()
loss.backward()

np_data = np.ones(self.shape).astype('float32')
np_data[0, 0] = 10

expected_x_grad = np.ones(self.shape)
expected_x_grad[0, 0] = 0

np.testing.assert_array_equal(out, np_data)
np.testing.assert_array_equal(x.grad, expected_x_grad)


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