Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix grad node interface name #61958

Merged
merged 5 commits into from
Feb 23, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,7 @@ paddle::Tensor add_n_ad_func(const std::vector<paddle::Tensor>& x) {
// SetAttributes if needed

// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrapper_x(x);
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(x, 0);
// SetOutRank & SetHistory & SetGradInMeta & RetainGrad
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -146,15 +146,15 @@ paddle::Tensor conv2d_ad_func(const paddle::Tensor& input,
}

// SetAttributes if needed
grad_node->SetAttributestrides(strides);
grad_node->SetAttributepaddings(paddings);
grad_node->SetAttributepadding_algorithm(padding_algorithm);
grad_node->SetAttributegroups(groups);
grad_node->SetAttributedilations(dilations);
grad_node->SetAttributedata_format(data_format);
grad_node->SetAttribute_strides(strides);
grad_node->SetAttribute_paddings(paddings);
grad_node->SetAttribute_padding_algorithm(padding_algorithm);
grad_node->SetAttribute_groups(groups);
grad_node->SetAttribute_dilations(dilations);
grad_node->SetAttribute_data_format(data_format);
// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperinput(input);
grad_node->SetTensorWrapperfilter(filter);
grad_node->SetTensorWrapper_input(input);
grad_node->SetTensorWrapper_filter(filter);
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(input, 0);
grad_node->SetGradOutMeta(filter, 1);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -157,25 +157,25 @@ paddle::Tensor multiply_ad_func(const paddle::Tensor& x,
grad_node->SetForwardTrace(egr::Controller::Instance().GetPythonStack());
}
// SetAttributes if needed
grad_node->SetAttributeaxis(-1);
grad_node->SetAttribute_axis(-1);
if (paddle::platform::is_gpu_place(x.place())) {
if (x_autograd_meta != nullptr && x_autograd_meta->StopGradient() &&
y_autograd_meta != nullptr && !y_autograd_meta->StopGradient()) {
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrapperNoNeedBuffery(y);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapperNoNeedBuffer_y(y);
} else if (x_autograd_meta != nullptr &&
!x_autograd_meta->StopGradient() &&
y_autograd_meta != nullptr &&
y_autograd_meta->StopGradient()) {
grad_node->SetTensorWrapperNoNeedBufferx(x);
grad_node->SetTensorWrappery(y);
grad_node->SetTensorWrapperNoNeedBuffer_x(x);
grad_node->SetTensorWrapper_y(y);
} else {
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrappery(y);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapper_y(y);
}
} else {
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrappery(y);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapper_y(y);
}
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(x, 0);
Expand Down Expand Up @@ -300,11 +300,11 @@ paddle::Tensor& multiply__ad_func(paddle::Tensor& x, // NOLINT
grad_node->SetForwardTrace(egr::Controller::Instance().GetPythonStack());
}
// SetAttributes if needed
grad_node->SetAttributeaxis(-1);
grad_node->SetAttribute_axis(-1);
// Set TensorWrappers for Forward Inputs if needed
auto x_clone = paddle::experimental::assign(x);
grad_node->SetTensorWrapperx(x_clone);
grad_node->SetTensorWrappery(y);
grad_node->SetTensorWrapper_x(x_clone);
grad_node->SetTensorWrapper_y(y);
}

// Forward API Call
Expand Down Expand Up @@ -505,8 +505,8 @@ paddle::Tensor multiply_ad_func(const paddle::Tensor& x,
// SetAttributes if needed

// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrappery(y);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapper_y(y);
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(x, 0);
grad_node->SetGradOutMeta(y, 1);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ paddle::Tensor reshard_ad_function(
std::shared_ptr<ReshardGradNode>(new ReshardGradNode(1, 1)); // NOLINT

// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperNoNeedBufferInput(input);
grad_node->SetTensorWrapperNoNeedBuffer_Input(input);
}

// Forward API Call
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -235,16 +235,16 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,

egr::Controller::Instance().PushBackForceSequentialNodes(grad_node.get());
// SetAttributes if needed
grad_node->SetAttributemomentum(momentum);
grad_node->SetAttributeepsilon(epsilon);
grad_node->SetAttributedata_layout(data_layout);
grad_node->SetAttributeis_test(is_test);
grad_node->SetAttributeuse_global_stats(use_global_stats);
grad_node->SetAttributetrainable_statistics(trainable_statistics);
grad_node->SetAttribute_momentum(momentum);
grad_node->SetAttribute_epsilon(epsilon);
grad_node->SetAttribute_data_layout(data_layout);
grad_node->SetAttribute_is_test(is_test);
grad_node->SetAttribute_use_global_stats(use_global_stats);
grad_node->SetAttribute_trainable_statistics(trainable_statistics);
// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrapperscale(scale);
grad_node->SetTensorWrapperbias(bias);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapper_scale(scale);
grad_node->SetTensorWrapper_bias(bias);
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(x, 0);
grad_node->SetGradOutMeta(scale, 3);
Expand Down Expand Up @@ -293,9 +293,9 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
grad_node->SetGradInMeta(saved_variance, 4);
grad_node->SetGradInMeta(reserve_space, 5);
// Set TensorWrappers for Forward Outputs if needed
grad_node->SetTensorWrappersaved_mean(saved_mean);
grad_node->SetTensorWrappersaved_variance(saved_variance);
grad_node->SetTensorWrapperreserve_space(reserve_space);
grad_node->SetTensorWrapper_saved_mean(saved_mean);
grad_node->SetTensorWrapper_saved_variance(saved_variance);
grad_node->SetTensorWrapper_reserve_space(reserve_space);
}

VLOG(4) << "Finish AD API: sync_batch_norm_";
Expand Down Expand Up @@ -571,16 +571,16 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
new SyncBatchNormGradNode(6, 5));
egr::Controller::Instance().PushBackForceSequentialNodes(grad_node.get());
// SetAttributes if needed
grad_node->SetAttributemomentum(momentum);
grad_node->SetAttributeepsilon(epsilon);
grad_node->SetAttributedata_layout(data_layout);
grad_node->SetAttributeis_test(is_test);
grad_node->SetAttributeuse_global_stats(use_global_stats);
grad_node->SetAttributetrainable_statistics(trainable_statistics);
grad_node->SetAttribute_momentum(momentum);
grad_node->SetAttribute_epsilon(epsilon);
grad_node->SetAttribute_data_layout(data_layout);
grad_node->SetAttribute_is_test(is_test);
grad_node->SetAttribute_use_global_stats(use_global_stats);
grad_node->SetAttribute_trainable_statistics(trainable_statistics);
// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrapperscale(scale);
grad_node->SetTensorWrapperbias(bias);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapper_scale(scale);
grad_node->SetTensorWrapper_bias(bias);
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(x, 0);
grad_node->SetGradOutMeta(scale, 3);
Expand Down Expand Up @@ -629,9 +629,9 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
grad_node->SetGradInMeta(saved_variance, 4);
grad_node->SetGradInMeta(reserve_space, 5);
// Set TensorWrappers for Forward Outputs if needed
grad_node->SetTensorWrappersaved_mean(saved_mean);
grad_node->SetTensorWrappersaved_variance(saved_variance);
grad_node->SetTensorWrapperreserve_space(reserve_space);
grad_node->SetTensorWrapper_saved_mean(saved_mean);
grad_node->SetTensorWrapper_saved_variance(saved_variance);
grad_node->SetTensorWrapper_reserve_space(reserve_space);
}

VLOG(4) << "Finish AD API: sync_batch_norm_";
Expand Down
18 changes: 9 additions & 9 deletions paddle/fluid/eager/api/manual/eager_manual/nodes/conv2d_nodes.cc
Original file line number Diff line number Diff line change
Expand Up @@ -126,16 +126,16 @@ Conv2dGradNodeFinal::operator()(
auto grad_node = std::shared_ptr<Conv2dDoubleGradNodeFinal>( // NOLINT
new Conv2dDoubleGradNodeFinal(2, 3));
// SetAttributes if needed
grad_node->SetAttributestrides(strides);
grad_node->SetAttributepaddings(paddings);
grad_node->SetAttributepadding_algorithm(padding_algorithm);
grad_node->SetAttributegroups(groups);
grad_node->SetAttributedilations(dilations);
grad_node->SetAttributedata_format(data_format);
grad_node->SetAttribute_strides(strides);
grad_node->SetAttribute_paddings(paddings);
grad_node->SetAttribute_padding_algorithm(padding_algorithm);
grad_node->SetAttribute_groups(groups);
grad_node->SetAttribute_dilations(dilations);
grad_node->SetAttribute_data_format(data_format);
// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperinput(input);
grad_node->SetTensorWrapperfilter(filter);
grad_node->SetTensorWrappergrad_out(grad_out);
grad_node->SetTensorWrapper_input(input);
grad_node->SetTensorWrapper_filter(filter);
grad_node->SetTensorWrapper_grad_out(grad_out);
// SetGradOutMeta & SetEdges
if (grad_filter_autograd_meta) {
grad_node->SetGradOutMeta(input, 0);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -167,11 +167,11 @@ MultiplyGradNode::operator()(
auto grad_node = std::shared_ptr<MultiplyDoubleGradNode>( // NOLINT
new MultiplyDoubleGradNode(2, 3));
// SetAttributes if needed
grad_node->SetAttributeaxis(axis);
grad_node->SetAttribute_axis(axis);
// Set TensorWrappers for Forward Inputs if needed
grad_node->SetTensorWrapperx(x);
grad_node->SetTensorWrappery(y);
grad_node->SetTensorWrappergrad_out(grad_out);
grad_node->SetTensorWrapper_x(x);
grad_node->SetTensorWrapper_y(y);
grad_node->SetTensorWrapper_grad_out(grad_out);
// SetGradOutMeta & SetEdges
grad_node->SetGradOutMeta(x, 0);
grad_node->SetGradOutMeta(y, 1);
Expand Down
Loading