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【Error Message No. 29 BUAA】fix error in cutlass_teller.h #66487

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Merged
wanghuancoder merged 1 commit into from
Jul 25, 2024
Merged

【Error Message No. 29 BUAA】fix error in cutlass_teller.h #66487

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63 changes: 54 additions & 9 deletions paddle/fluid/framework/ir/cutlass_teller.h
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Original file line number Diff line number Diff line change
Expand Up @@ -42,8 +42,18 @@ class CutlassTeller {
int device_id) {
auto strides = op_desc->GetAttrIfExists<std::vector<int>>("strides");
auto dilations = op_desc->GetAttrIfExists<std::vector<int>>("dilations");
CHECK_EQ(strides.size() == 2UL, true);
CHECK_EQ(dilations.size() == 2UL, true);
PADDLE_ENFORCE_EQ(strides.size(),
2UL,
phi::errors::InvalidArgument(
"The 'strides' attribute in conv2d should be a "
"vector of size 2, but received size %d.",
strides.size()));
PADDLE_ENFORCE_EQ(dilations.size(),
2UL,
phi::errors::InvalidArgument(
"The 'dilations' attribute in conv2d should be a "
"vector of size 2, but received size %d.",
dilations.size()));
int stride_h = strides[0];
int stride_w = strides[1];
int dilation_h = dilations[0];
Expand All @@ -54,7 +64,12 @@ class CutlassTeller {
for (const auto &filter_name : filter_names) {
auto *filter_var = scope->FindLocalVar(filter_name);
const auto &filter_tensor = filter_var->Get<phi::DenseTensor>();
CHECK_EQ(filter_tensor.dims().size() == 4UL, true);
PADDLE_ENFORCE_EQ(filter_tensor.dims().size(),
4UL,
phi::errors::InvalidArgument(
"The 'Filter' tensor in conv2d should have 4 "
"dimensions, but received dimensions %d.",
filter_tensor.dims().size()));
auto groups = op_desc->GetAttrIfExists<int>("groups");
int oc = filter_tensor.dims()[0];
int kc = filter_tensor.dims()[1];
Expand Down Expand Up @@ -95,8 +110,18 @@ class CutlassTeller {
int device_id) {
auto strides = op_desc->GetAttrIfExists<std::vector<int>>("strides");
auto dilations = op_desc->GetAttrIfExists<std::vector<int>>("dilations");
CHECK_EQ(strides.size() == 2UL, true);
CHECK_EQ(dilations.size() == 2UL, true);
PADDLE_ENFORCE_EQ(strides.size(),
2UL,
phi::errors::InvalidArgument(
"The 'strides' attribute in conv2d should be a "
"vector of size 2, but received size %d.",
strides.size()));
PADDLE_ENFORCE_EQ(dilations.size(),
2UL,
phi::errors::InvalidArgument(
"The 'dilations' attribute in conv2d should be a "
"vector of size 2, but received size %d.",
dilations.size()));
int stride_h = strides[0];
int stride_w = strides[1];
int dilation_h = dilations[0];
Expand All @@ -107,7 +132,12 @@ class CutlassTeller {
for (const auto &filter_name : filter_names) {
auto *filter_var = scope->FindLocalVar(filter_name);
const auto &filter_tensor = filter_var->Get<phi::DenseTensor>();
CHECK_EQ(filter_tensor.dims().size() == 4UL, true);
PADDLE_ENFORCE_EQ(filter_tensor.dims().size(),
4UL,
phi::errors::InvalidArgument(
"The 'Filter' tensor in conv2d should have 4 "
"dimensions, but received dimensions %d.",
filter_tensor.dims().size()));
auto groups = op_desc->GetAttrIfExists<int>("groups");
int oc = filter_tensor.dims()[0];
int kc = filter_tensor.dims()[1];
Expand Down Expand Up @@ -150,8 +180,18 @@ class CutlassTeller {
int device_id) {
auto strides = op_desc->GetAttrIfExists<std::vector<int>>("strides");
auto dilations = op_desc->GetAttrIfExists<std::vector<int>>("dilations");
CHECK_EQ(strides.size() == 2UL, true);
CHECK_EQ(dilations.size() == 2UL, true);
PADDLE_ENFORCE_EQ(strides.size(),
2UL,
phi::errors::InvalidArgument(
"The 'strides' attribute in conv2d should be a "
"vector of size 2, but received size %d.",
strides.size()));
PADDLE_ENFORCE_EQ(dilations.size(),
2UL,
phi::errors::InvalidArgument(
"The 'dilations' attribute in conv2d should be a "
"vector of size 2, but received size %d.",
dilations.size()));
int stride_h = strides[0];
int stride_w = strides[1];
int dilation_h = dilations[0];
Expand All @@ -168,7 +208,12 @@ class CutlassTeller {
for (const auto &filter_name : filter_names) {
auto *filter_var = scope->FindLocalVar(filter_name);
const auto &filter_tensor = filter_var->Get<phi::DenseTensor>();
CHECK_EQ(filter_tensor.dims().size() == 4UL, true);
PADDLE_ENFORCE_EQ(filter_tensor.dims().size(),
4UL,
phi::errors::InvalidArgument(
"The 'Filter' tensor in conv2d should have 4 "
"dimensions, but received dimensions %d.",
filter_tensor.dims().size()));
auto groups = op_desc->GetAttrIfExists<int>("groups");
int oc = filter_tensor.dims()[0];
int kc = filter_tensor.dims()[1];
Expand Down