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Conv + quantization + tanh (#645)

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* Rename file. Prepare to support another activation

* Add comment for quantization

* Extract out_elementop

* Add tanh example

* Add conv + bias + tanh quantization instance

* Add missing parameter

* Refine cmake

* Add external api and client example

* Extract variable in example

* Fix the comment

---------

Co-authored-by: zjing14 <zhangjing14@gmail.com>

[ROCm/composable_kernel commit: 389e84a83b]
This commit is contained in:
rocking5566
2023-03-30 03:50:23 +08:00
committed by GitHub
parent ec634a3d32
commit c8d839b5d9
31 changed files with 1252 additions and 122 deletions
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9
library/src/tensor_operation_instance/gpu/quantization/conv2d_fwd/conv2d_quantization_common.hpp
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@@ -25,6 +25,7 @@ using GNHWK = ck::tensor_layout::convolution::GNHWK;
using GK = ck::tensor_layout::convolution::G_K;
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using Relu = ck::tensor_operation::element_wise::Relu;
using TanH = ck::tensor_operation::element_wise::TanH;
using GK_Tuple = ck::Tuple<GK>;
using GK_GK_Tuple = ck::Tuple<GK, GK>;
@@ -32,17 +33,25 @@ using I32_Tuple = ck::Tuple<int32_t>;
using F32_Tuple = ck::Tuple<float>;
using I32_F32_Tuple = ck::Tuple<int32_t, float>;
// perlayer
using Mul_Clamp = ck::tensor_operation::element_wise::Activation_Mul_Clamp<PassThrough>;
using Relu_Mul_Clamp = ck::tensor_operation::element_wise::Activation_Mul_Clamp<Relu>;
// bias + perlayer
using Add_Mul_Clamp = ck::tensor_operation::element_wise::Add_Activation_Mul_Clamp<PassThrough>;
using Add_Relu_Mul_Clamp = ck::tensor_operation::element_wise::Add_Activation_Mul_Clamp<Relu>;
using Add_Mul_TanH_Mul_Clamp =
ck::tensor_operation::element_wise::Add_Mul_Activation_Mul_Clamp<TanH>;
// perchannel
using Mul2_Clamp = ck::tensor_operation::element_wise::Activation_Mul2_Clamp<PassThrough>;
using Relu_Mul2_Clamp = ck::tensor_operation::element_wise::Activation_Mul2_Clamp<Relu>;
// bias + perchannel
using Add_Mul2_Clamp = ck::tensor_operation::element_wise::Add_Activation_Mul2_Clamp<PassThrough>;
using Add_Relu_Mul2_Clamp = ck::tensor_operation::element_wise::Add_Activation_Mul2_Clamp<Relu>;
using Add_Mul2_TanH_Mul_Clamp =
ck::tensor_operation::element_wise::Add_Mul2_Activation_Mul_Clamp<TanH>;
static constexpr ck::index_t NDimSpatial = 2;
static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::MNKPadding;

36
library/src/tensor_operation_instance/gpu/quantization/conv2d_fwd/device_conv2d_dl_bias_perchannel_quantization_int8_instance.cpp
View File

@@ -76,6 +76,42 @@ void add_device_conv2d_dl_bias_relu_perchannel_quantization_int8_instances(
ConvFwd1x1S1P0,
4>{});
}
void add_device_conv2d_dl_bias_tanh_perchannel_quantization_int8_instances(
std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleD<NDimSpatial,
GNHWC,
GKYXC,
GK_GK_Tuple,
GNHWK,
int8_t,
int8_t,
I32_F32_Tuple,
int8_t,
PassThrough,
PassThrough,
Add_Mul2_TanH_Mul_Clamp>>>& instances)
{
// dl
add_device_operation_instances(instances,
device_grouped_conv2d_dl_int8_instances<GK_GK_Tuple,
I32_F32_Tuple,
Add_Mul2_TanH_Mul_Clamp,
ConvFwdDefault,
4>{});
add_device_operation_instances(instances,
device_grouped_conv2d_dl_int8_instances<GK_GK_Tuple,
I32_F32_Tuple,
Add_Mul2_TanH_Mul_Clamp,
ConvFwd1x1P0,
4>{});
add_device_operation_instances(instances,
device_grouped_conv2d_dl_int8_instances<GK_GK_Tuple,
I32_F32_Tuple,
Add_Mul2_TanH_Mul_Clamp,
ConvFwd1x1S1P0,
4>{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation

37
library/src/tensor_operation_instance/gpu/quantization/conv2d_fwd/device_conv2d_dl_bias_perlayer_quantization_int8_instance.cpp
View File

@@ -76,6 +76,43 @@ void add_device_conv2d_dl_bias_relu_perlayer_quantization_int8_instances(
ConvFwd1x1S1P0,
4>{});
}
void add_device_conv2d_dl_bias_tanh_perlayer_quantization_int8_instances(
std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleD<NDimSpatial,
GNHWC,
GKYXC,
GK_Tuple,
GNHWK,
int8_t,
int8_t,
I32_Tuple,
int8_t,
PassThrough,
PassThrough,
Add_Mul_TanH_Mul_Clamp>>>& instances)
{
add_device_operation_instances(instances,
device_grouped_conv2d_dl_int8_instances<GK_Tuple,
I32_Tuple,
Add_Mul_TanH_Mul_Clamp,
ConvFwdDefault,
4>{});
add_device_operation_instances(instances,
device_grouped_conv2d_dl_int8_instances<GK_Tuple,
I32_Tuple,
Add_Mul_TanH_Mul_Clamp,
ConvFwd1x1P0,
4>{});
add_device_operation_instances(instances,
device_grouped_conv2d_dl_int8_instances<GK_Tuple,
I32_Tuple,
Add_Mul_TanH_Mul_Clamp,
ConvFwd1x1S1P0,
4>{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation

35
library/src/tensor_operation_instance/gpu/quantization/conv2d_fwd/device_conv2d_xdl_bias_perchannel_quantization_int8_instance.cpp
View File

@@ -74,6 +74,41 @@ void add_device_conv2d_xdl_bias_relu_perchannel_quantization_int8_instances(
ConvFwd1x1S1P0,
8>{});
}
void add_device_conv2d_xdl_bias_tanh_perchannel_quantization_int8_instances(
std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleD<NDimSpatial,
GNHWC,
GKYXC,
GK_GK_Tuple,
GNHWK,
int8_t,
int8_t,
I32_F32_Tuple,
int8_t,
PassThrough,
PassThrough,
Add_Mul2_TanH_Mul_Clamp>>>& instances)
{
add_device_operation_instances(instances,
device_grouped_conv2d_xdl_int8_instances<GK_GK_Tuple,
I32_F32_Tuple,
Add_Mul2_TanH_Mul_Clamp,
ConvFwdDefault,
8>{});
add_device_operation_instances(instances,
device_grouped_conv2d_xdl_int8_instances<GK_GK_Tuple,
I32_F32_Tuple,
Add_Mul2_TanH_Mul_Clamp,
ConvFwd1x1P0,
8>{});
add_device_operation_instances(instances,
device_grouped_conv2d_xdl_int8_instances<GK_GK_Tuple,
I32_F32_Tuple,
Add_Mul2_TanH_Mul_Clamp,
ConvFwd1x1S1P0,
8>{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation

37
library/src/tensor_operation_instance/gpu/quantization/conv2d_fwd/device_conv2d_xdl_bias_perlayer_quantization_int8_instance.cpp
View File

@@ -76,6 +76,43 @@ void add_device_conv2d_xdl_bias_relu_perlayer_quantization_int8_instances(
ConvFwd1x1S1P0,
8>{});
}
void add_device_conv2d_xdl_bias_tanh_perlayer_quantization_int8_instances(
std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleD<NDimSpatial,
GNHWC,
GKYXC,
GK_Tuple,
GNHWK,
int8_t,
int8_t,
I32_Tuple,
int8_t,
PassThrough,
PassThrough,
Add_Mul_TanH_Mul_Clamp>>>& instances)
{
add_device_operation_instances(instances,
device_grouped_conv2d_xdl_int8_instances<GK_Tuple,
I32_Tuple,
Add_Mul_TanH_Mul_Clamp,
ConvFwdDefault,
8>{});
add_device_operation_instances(instances,
device_grouped_conv2d_xdl_int8_instances<GK_Tuple,
I32_Tuple,
Add_Mul_TanH_Mul_Clamp,
ConvFwd1x1P0,
8>{});
add_device_operation_instances(instances,
device_grouped_conv2d_xdl_int8_instances<GK_Tuple,
I32_Tuple,
Add_Mul_TanH_Mul_Clamp,
ConvFwd1x1S1P0,
8>{});
}
} // namespace instance
} // namespace device
} // namespace tensor_operation