ROCm/composable_kernel
1
0
Fork 0
mirror of https://github.com/ROCm/composable_kernel.git synced 2026-05-13 09:45:56 +00:00
Code Issues Packages Projects Releases Wiki Activity

Grouped conv backward data GKCYX support (#2029)

Browse Source 
* Grouped conv backward data GKCYX support

* profiler

* Converter

* split instances
This commit is contained in:
Bartłomiej Kocot
2025-04-01 22:24:38 +02:00
committed by GitHub
parent ec742908bd
commit 8c0ab61ece
37 changed files with 1286 additions and 198 deletions
Download Patch File Download Diff File Expand all files Collapse all files

38
profiler/src/profile_grouped_conv_bwd_data.cpp
View File

@@ -16,6 +16,7 @@ enum struct ConvLayout
GNHWC_GKYXC_GNHWK, // 0
NHWGC_GKYXC_NHWGK, // 1
NGCHW_GKYXC_NGKHW, // 2
NGCHW_GKCYX_NGKHW, // 3
};
enum struct ConvDataType
@@ -36,9 +37,10 @@ static void print_helper_msg()
<< "arg2: data type (0: Output fp32, Weight fp32, Input fp32\n"
<< " 1: Output fp16, Weight fp16, Input fp16\n"
<< " 2: Output bf16, Weight bf16, Input bf16\n"
<< "arg3: tensor layout (0: Output[G, N, Hi, Wi, C], Weight[G, K, Y, X, C], Input[G, N, Ho, Wo, K]\n"
<< " 1: Output[N, Hi, Wi, G, C], Weight[G, K, Y, X, C], Input[N, Ho, Wo, G, K])\n"
<< " 2: Output[N, G, C, Hi, Wi], Weight[G, K, Y, X, C], Input[N, G, K, Ho, Wo])\n"
<< "arg3: tensor layout (0: Output[G, N, Ho, Wo, C], Weight[G, K, Y, X, C], Input[G, N, Hi, Wi, K]\n"
<< " 1: Output[N, Ho, Wo, G, C], Weight[G, K, Y, X, C], Input[N, Hi, Wi, G, K])\n"
<< " 2: Output[N, G, C, Ho, Wo], Weight[G, K, Y, X, C], Input[N, G, K, Hi, Wi])\n"
<< " 3: Output[N, G, C, Ho, Wo], Weight[G, K, C, Y, X], Input[N, G, K, Hi, Wi])\n"
<< "arg4: verification (0: no, 1: yes)\n"
<< "arg5: initialization (0: no init, 1: integer value, 2: decimal value)\n"
<< "arg6: print tensor value (0: no; 1: yes)\n"
@@ -160,6 +162,21 @@ int profile_grouped_conv_bwd_data(int argc, char* argv[])
return profile(I2, NGKHW{}, GKYXC{}, NGCHW{}, BF16{}, BF16{}, BF16{});
}
}
else if(layout == ConvLayout::NGCHW_GKCYX_NGKHW)
{
if(data_type == ConvDataType::F32_F32_F32)
{
return profile(I2, NGKHW{}, GKCYX{}, NGCHW{}, F32{}, F32{}, F32{});
}
else if(data_type == ConvDataType::F16_F16_F16)
{
return profile(I2, NGKHW{}, GKCYX{}, NGCHW{}, F16{}, F16{}, F16{});
}
else if(data_type == ConvDataType::BF16_BF16_BF16)
{
return profile(I2, NGKHW{}, GKCYX{}, NGCHW{}, BF16{}, BF16{}, BF16{});
}
}
}
else if(num_dim_spatial == 3)
{
@@ -208,6 +225,21 @@ int profile_grouped_conv_bwd_data(int argc, char* argv[])
return profile(I3, NGKDHW{}, GKZYXC{}, NGCDHW{}, BF16{}, BF16{}, BF16{});
}
}
else if(layout == ConvLayout::NGCHW_GKYXC_NGKHW)
{
if(data_type == ConvDataType::F32_F32_F32)
{
return profile(I3, NGKDHW{}, GKCZYX{}, NGCDHW{}, F32{}, F32{}, F32{});
}
else if(data_type == ConvDataType::F16_F16_F16)
{
return profile(I3, NGKDHW{}, GKCZYX{}, NGCDHW{}, F16{}, F16{}, F16{});
}
else if(data_type == ConvDataType::BF16_BF16_BF16)
{
return profile(I3, NGKDHW{}, GKCZYX{}, NGCDHW{}, BF16{}, BF16{}, BF16{});
}
}
}
std::cout << "this data_type & layout is not implemented" << std::endl;