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132 changes: 75 additions & 57 deletions torch/csrc/autograd/FunctionsManual.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -1423,43 +1423,48 @@ Tensor mm_mat1_backward(
c10::Layout mat1_layout,
const Scalar& alpha) {

at::Tensor grad_copy = grad.clone();
at::Tensor mat2_copy = mat2.clone();
if (at::globalContext().allowF8ROCMGemm()) {
at::Tensor grad_copy = grad.clone();
at::Tensor mat2_copy = mat2.clone();

if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "FunctionalsManual.cpp: mm_mat1_backward(const Tensor& grad, const Tensor& mat2,...)" << std::endl;
std::cout << "\tgrad: " << &grad << std::endl;
std::cout << "\tmat2: " << &mat2 << std::endl;
std::cout << "\tgrad_copy: " << &grad_copy << std::endl;
std::cout << "\tmat2_copy: " << &mat2_copy << std::endl;
std::cout << "\tgrad_copy.is_grad(): before: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat2_copy.is_grad(): before: " << std::boolalpha << mat2_copy.is_grad() << std::endl;
}
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "FunctionalsManual.cpp: mm_mat1_backward(const Tensor& grad, const Tensor& mat2,...)" << std::endl;
std::cout << "\tgrad: " << &grad << std::endl;
std::cout << "\tmat2: " << &mat2 << std::endl;
std::cout << "\tgrad_copy: " << &grad_copy << std::endl;
std::cout << "\tmat2_copy: " << &mat2_copy << std::endl;
std::cout << "\tgrad_copy.is_grad(): before: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat2_copy.is_grad(): before: " << std::boolalpha << mat2_copy.is_grad() << std::endl;
}

grad_copy.set_is_grad(true);
mat2_copy.set_is_grad(false);
grad_copy.set_is_grad(true);
mat2_copy.set_is_grad(false);

if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tgrad_copy.is_grad(): after: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat2_copy.is_grad(): after: " << std::boolalpha << mat2_copy.is_grad() << std::endl;
}
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tgrad_copy.is_grad(): after: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat2_copy.is_grad(): after: " << std::boolalpha << mat2_copy.is_grad() << std::endl;
}

if (grad_copy.layout() == c10::kStrided && mat2_copy.layout() == c10::kStrided &&
mat1_layout == c10::kStrided) {
// if input was column-major, return grad as column-order for efficiency
if (mat1_strides[0] == 1 && mat1_strides[1] == mat1_sizes[0]) {
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(mat2_copy.conj().mm(grad_copy.t()).t(), alpha.conj())" << std::endl;
if (grad_copy.layout() == c10::kStrided && mat2_copy.layout() == c10::kStrided &&
mat1_layout == c10::kStrided) {
// if input was column-major, return grad as column-order for efficiency
if (mat1_strides[0] == 1 && mat1_strides[1] == mat1_sizes[0]) {
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(mat2_copy.conj().mm(grad_copy.t()).t(), alpha.conj())" << std::endl;
}
return maybe_multiply(mat2_copy.conj().mm(grad_copy.t()).t(), alpha.conj());
}
return maybe_multiply(mat2_copy.conj().mm(grad_copy.t()).t(), alpha.conj());
}

// General fallback, should work for any layout
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(grad_copy.mm(mat2_copy.t().conj()), alpha.conj())" << std::endl;
}
return maybe_multiply(grad_copy.mm(mat2_copy.t().conj()), alpha.conj());
}

// General fallback, should work for any layout
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(grad_copy.mm(mat2_copy.t().conj()), alpha.conj())" << std::endl;
}
return maybe_multiply(grad_copy.mm(mat2_copy.t().conj()), alpha.conj());
return maybe_multiply(grad.mm(mat2.t().conj()), alpha.conj());
}

Tensor mm_mat2_backward(
Expand All @@ -1469,44 +1474,57 @@ Tensor mm_mat2_backward(
at::SymIntArrayRef mat2_strides,
c10::Layout mat2_layout,
const Scalar& alpha) {
at::Tensor grad_copy = grad.clone();
at::Tensor mat1_copy = mat1.clone();

if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "FunctionalsManual.cpp: mm_mat2_backward(const Tensor& grad, const Tensor& mat1,...)" << std::endl;
std::cout << "\tgrad: " << &grad << std::endl;
std::cout << "\tmat1: " << &mat1 << std::endl;
std::cout << "\tgrad_copy: " << &grad_copy << std::endl;
std::cout << "\tmat1_copy: " << &mat1_copy << std::endl;
std::cout << "\tgrad_copy.is_grad(): before: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat1_copy.is_grad(): before: " << std::boolalpha << mat1_copy.is_grad() << std::endl;
}
if (at::globalContext().allowF8ROCMGemm()) {
at::Tensor grad_copy = grad.clone();
at::Tensor mat1_copy = mat1.clone();

if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "FunctionalsManual.cpp: mm_mat2_backward(const Tensor& grad, const Tensor& mat1,...)" << std::endl;
std::cout << "\tgrad: " << &grad << std::endl;
std::cout << "\tmat1: " << &mat1 << std::endl;
std::cout << "\tgrad_copy: " << &grad_copy << std::endl;
std::cout << "\tmat1_copy: " << &mat1_copy << std::endl;
std::cout << "\tgrad_copy.is_grad(): before: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat1_copy.is_grad(): before: " << std::boolalpha << mat1_copy.is_grad() << std::endl;
}

grad_copy.set_is_grad(true);
mat1_copy.set_is_grad(false);
grad_copy.set_is_grad(true);
mat1_copy.set_is_grad(false);

if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tgrad_copy.is_grad(): after: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat1_copy.is_grad(): after: " << std::boolalpha << mat1_copy.is_grad() << std::endl;
}
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tgrad_copy.is_grad(): after: " << std::boolalpha << grad_copy.is_grad() << std::endl;
std::cout << "\tmat1_copy.is_grad(): after: " << std::boolalpha << mat1_copy.is_grad() << std::endl;
}


if (grad_copy.layout() == c10::kStrided && mat1_copy.layout() == c10::kStrided &&
mat2_layout == c10::kStrided) {
// if input was column-major, return grad as column-order for efficiency
if (mat2_strides[0] == 1 && mat2_strides[1] == mat2_sizes[0]) {
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(grad_copy.t().mm(mat1_copy.conj()).t(), alpha.conj())" << std::endl;
if (grad_copy.layout() == c10::kStrided && mat1_copy.layout() == c10::kStrided &&
mat2_layout == c10::kStrided) {
// if input was column-major, return grad as column-order for efficiency
if (mat2_strides[0] == 1 && mat2_strides[1] == mat2_sizes[0]) {
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(grad_copy.t().mm(mat1_copy.conj()).t(), alpha.conj())" << std::endl;
}
return maybe_multiply(grad_copy.t().mm(mat1_copy.conj()).t(), alpha.conj());
}
return maybe_multiply(grad_copy.t().mm(mat1_copy.conj()).t(), alpha.conj());
}
}

// General fallback, should work for any
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(mat1_copy.t().conj().mm(grad_copy), alpha.conj())" << std::endl;
// General fallback, should work for any
if (at::globalContext().allowF8ROCMLOG()) {
std::cout << "\tmaybe_multiply(mat1_copy.t().conj().mm(grad_copy), alpha.conj())" << std::endl;
}
return maybe_multiply(mat1_copy.t().conj().mm(grad_copy), alpha.conj());
} else {
if (grad.layout() == c10::kStrided && mat1.layout() == c10::kStrided &&
mat2_layout == c10::kStrided) {
// if input was column-major, return grad as column-order for efficiency
if (mat2_strides[0] == 1 && mat2_strides[1] == mat2_sizes[0]) {
return maybe_multiply(grad.t().mm(mat1.conj()).t(), alpha.conj());
}
}
// General fallback, should work for any layout
return maybe_multiply(mat1.t().conj().mm(grad), alpha.conj());
}
return maybe_multiply(mat1_copy.t().conj().mm(grad_copy), alpha.conj());
}

Tensor mm_mat1_sparse_backward(
Expand Down