Commit 7a302cc9 authored by Anthony Chang's avatar Anthony Chang
Browse files

debugging dQ; suspected K mat not properly loaded

parent b637c77d
...@@ -104,7 +104,7 @@ using DeviceGemmInstance = ...@@ -104,7 +104,7 @@ using DeviceGemmInstance =
TensorSpecY, TensorSpecY,
1, 1,
256, 256,
256, // MPerBlock 128, // MPerBlock
128, // NPerBlock 128, // NPerBlock
32, // KPerBlock 32, // KPerBlock
64, // Gemm1NPerBlock 64, // Gemm1NPerBlock
...@@ -114,7 +114,7 @@ using DeviceGemmInstance = ...@@ -114,7 +114,7 @@ using DeviceGemmInstance =
2, // B1K1 2, // B1K1
32, // MPerXDL 32, // MPerXDL
32, // NPerXDL 32, // NPerXDL
2, // MXdlPerWave 1, // MXdlPerWave
4, // NXdlPerWave 4, // NXdlPerWave
2, // Gemm1NXdlPerWave 2, // Gemm1NXdlPerWave
S<4, 64, 1>, // ABlockTransfer S<4, 64, 1>, // ABlockTransfer
...@@ -375,18 +375,34 @@ int run(int argc, char* argv[]) ...@@ -375,18 +375,34 @@ int run(int argc, char* argv[])
k_gs_ns_ks.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{}); k_gs_ns_ks.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{});
v_gs_os_ns.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{}); v_gs_os_ns.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{});
ygrad_gs_ms_os.GenerateTensorValue(GeneratorTensor_Sequential<2>{}); // dy[g0, g1, m, o] ygrad_gs_ms_os.GenerateTensorValue(GeneratorTensor_Sequential<2>{}); // dy[g0, g1, m, o]
// dO dot O = [0; 1; 2; ...]
break; break;
case 6: case 6:
q_gs_ms_ks.GenerateTensorValue(GeneratorTensor_1<DataType>{1}); q_gs_ms_ks.GenerateTensorValue(GeneratorTensor_1<DataType>{1});
k_gs_ns_ks.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{}); k_gs_ns_ks.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{});
v_gs_os_ns.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{}); v_gs_os_ns.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{});
ygrad_gs_ms_os.GenerateTensorValue(GeneratorTensor_Sequential<3>{}); // dy[g0, g1, m, o] ygrad_gs_ms_os.GenerateTensorValue(GeneratorTensor_Sequential<3>{}); // dy[g0, g1, m, o]
// assume mnko = 256
// P = softmax(QK) = 0.0039 * ones
// O = P V = 0.0039 * ones
// dP = dO V = [0, 1, 2, ...; 0, 1, 2, ...; ...]
// dO dot O = [127.5; ...]
// dS = P * (dP - dO dot O)
//
break; break;
default: default:
q_gs_ms_ks.GenerateTensorValue(GeneratorTensor_1<DataType>{1}); q_gs_ms_ks.GenerateTensorValue(GeneratorTensor_1<DataType>{1});
k_gs_ns_ks.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{}); k_gs_ns_ks.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{});
v_gs_os_ns.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{}); v_gs_os_ns.GenerateTensorValue(GeneratorTensor_Diagonal<DataType>{});
ygrad_gs_ms_os.GenerateTensorValue(GeneratorTensor_1<DataType>{1}); // dy[g0, g1, m, o] ygrad_gs_ms_os.GenerateTensorValue(GeneratorTensor_1<DataType>{1}); // dy[g0, g1, m, o]
// assume mnko = 256
// P = softmax(QK) = 0.0039 * ones
// O = P V = 0.0039 * ones
// dP = dO V = ones
// dS = P * (dP - (dO dot O))
// = 0.0039 * ones * (ones - 0.0039*256)
// = 0.0039 * ones * (ones - 1)
// = 0
} }
// calculate y & log-sum-exp beforehand // calculate y & log-sum-exp beforehand
......
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