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Commit 3886135d authored by Shucai Xiao's avatar Shucai Xiao
Browse files

put each operator in a separate head file.

parent dc85aa6b
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src/include/migraphx/op/flatten.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_FLATTEN_HPP
#define MIGRAPHX_GUARD_OPERATORS_FLATTEN_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct flatten
{
uint64_t axis = 0;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.axis, "axis"));
}
std::string name() const { return "flatten"; }
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs}.has(1);
auto&& lens = inputs.front().lens();
if(axis > lens.size())
{
MIGRAPHX_THROW("axis for flatten must be less than tensor rank");
}
auto x =
std::accumulate(lens.begin(), lens.begin() + axis, std::size_t{1}, std::multiplies<>{});
auto y =
std::accumulate(lens.begin() + axis, lens.end(), std::size_t{1}, std::multiplies<>{});
return {inputs.at(0).type(), {x, y}};
}
argument compute(shape output_shape, std::vector<argument> args) const
{
return {std::move(output_shape), std::move(args.front().data)};
}
int output_alias(const std::vector<shape>&) const { return 0; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/gather.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_GATHER_HPP
#define MIGRAPHX_GUARD_OPERATORS_GATHER_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct gather
{
int axis = 0;
std::string name() const { return "gather"; }
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(2);
auto lens = inputs[0].lens();
int n_dim = static_cast<int>(lens.size());
if(axis >= n_dim || axis < -n_dim)
{
MIGRAPHX_THROW("Gather: axis is out of range.");
}
// negative axis means counting dimensions from back
int axis_index = (axis < 0) ? (n_dim + axis) : axis;
auto type = inputs[0].type();
lens.erase(lens.begin() + axis_index);
if(!inputs[1].scalar())
{
auto ind_lens = inputs[1].lens();
lens.insert(lens.begin() + axis_index, ind_lens.begin(), ind_lens.end());
}
// for scalar output
if(lens.empty())
{
return {type};
}
return {type, lens};
}
argument compute(const shape& output_shape, std::vector<argument> args) const
{
argument result{output_shape};
// negative axis means counting dimensions from back
int axis_index =
(axis < 0) ? static_cast<int>(args[0].get_shape().lens().size() + axis) : axis;
// max dimension in axis
visit_all(result, args[0])([&](auto output, auto data) {
args[1].visit([&](auto indices) {
if(output_shape.scalar())
{
output[0] = data[indices.front()];
}
else
{
auto out_lens = data.get_shape().lens();
out_lens[axis_index] = indices.get_shape().elements();
migraphx::shape out_comp_shape{data.get_shape().type(), out_lens};
shape_for_each(out_comp_shape, [&](const auto& out_idx) {
auto data_idx = out_idx;
data_idx[axis_index] = indices[data_idx[axis_index]];
output[out_comp_shape.index(out_idx.begin(), out_idx.end())] =
data(data_idx.begin(), data_idx.end());
});
}
});
});
return result;
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/gru.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_GRU_HPP
#define MIGRAPHX_GUARD_OPERATORS_GRU_HPP
#include <array>
#include <migraphx/op/common.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct gru
{
std::size_t hidden_size = 1;
std::vector<operation> actv_funcs{sigmoid{}, tanh{}};
rnn_direction direction = rnn_direction::forward;
float clip = 0.0f;
int linear_before_reset = 0;
std::string name() const { return "gru"; }
shape compute_shape(std::vector<shape> inputs) const
{
auto in_dims = inputs[0].lens();
auto hidden_dims = inputs[2].lens();
if(hidden_size != hidden_dims[2])
{
MIGRAPHX_THROW("GRU: hidden size mismatch in attribute and input");
}
std::size_t num_directions = 1;
if(direction == rnn_direction::bidirectional)
{
num_directions = 2;
}
if(num_directions != hidden_dims[0])
{
MIGRAPHX_THROW("GRU: num_direction does not match the direction attribute");
}
std::vector<std::size_t> out_dims(in_dims);
out_dims.insert(out_dims.begin() + 1, num_directions);
out_dims.back() = hidden_size;
return {inputs[0].type(), out_dims};
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/identity.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_IDENTITY_HPP
#define MIGRAPHX_GUARD_OPERATORS_IDENTITY_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct identity
{
std::string name() const { return "identity"; }
shape compute_shape(std::vector<shape> inputs) const { return inputs.at(0); }
argument compute(shape output_shape, std::vector<argument> args) const
{
return {std::move(output_shape), std::move(args.at(0).data)};
}
int output_alias(const std::vector<shape>&) const { return 0; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/im2col.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_IM2COL_HPP
#define MIGRAPHX_GUARD_OPERATORS_IM2COL_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct im2col
{
std::array<std::size_t, 2> padding = {{0, 0}};
std::array<std::size_t, 2> stride = {{1, 1}};
std::array<std::size_t, 2> dilation = {{1, 1}};
padding_mode_t padding_mode = default_;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.padding, "padding"),
f(self.stride, "stride"),
f(self.dilation, "dilation"),
f(self.padding_mode, "padding_mode"));
}
std::string name() const { return "im2col"; }
shape compute_shape(std::vector<shape> inputs) const
{
auto input = inputs[0];
auto weights = inputs[1];
auto batch_size = input.lens()[0];
auto input_channels = weights.lens()[1];
auto kernel_height = weights.lens()[2];
auto kernel_width = weights.lens()[3];
check_shapes{inputs, *this}.has(2);
if(batch_size != 1)
MIGRAPHX_THROW("im2col only support batch_size 1");
auto output_height = std::size_t(std::max<std::ptrdiff_t>(
1,
(input.lens()[2] - (1 + dilation[0] * (kernel_height - 1)) + 2 * padding[0]) /
stride[0] +
1));
auto output_width = std::size_t(std::max<std::ptrdiff_t>(
1,
(input.lens()[3] - (1 + dilation[1] * (kernel_width - 1)) + 2 * padding[1]) /
stride[1] +
1));
auto channels_col = kernel_height * kernel_width * input_channels;
return {input.type(), {output_height * output_width, channels_col}};
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/leaky_relu.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_LEAKY_RELU_HPP
#define MIGRAPHX_GUARD_OPERATORS_LEAKY_RELU_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct leaky_relu
{
std::string name() const { return "leaky_relu"; }
float alpha;
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1);
return inputs.front();
}
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.alpha, "alpha"));
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/load.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_LOAD_HPP
#define MIGRAPHX_GUARD_OPERATORS_LOAD_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct load
{
shape s;
std::size_t offset = 0;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.s, "shape"), f(self.offset, "offset"));
}
std::string name() const { return "load"; }
shape compute_shape(const std::vector<shape>& inputs) const
{
check_shapes{inputs}.has(1);
return s;
}
argument compute(const shape&, const std::vector<argument>& args) const
{
if((offset + s.bytes()) > args[0].get_shape().bytes())
MIGRAPHX_THROW("Load access is out of bounds");
return {s, args[0].data() + offset};
}
int output_alias(const std::vector<shape>&) const { return 0; }
friend std::ostream& operator<<(std::ostream& os, const load& op)
{
os << op.name() << "[";
os << "offset=" << op.offset << ",";
os << "end=" << (op.offset + op.s.bytes()) << "]";
return os;
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/log.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_LOG_HPP
#define MIGRAPHX_GUARD_OPERATORS_LOG_HPP
#include <array>
#include <migraphx/op/unary.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct log : unary
{
std::string name() const { return "log"; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/logsoftmax.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_LOGSOFTMAX_HPP
#define MIGRAPHX_GUARD_OPERATORS_LOGSOFTMAX_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct logsoftmax
{
int axis = 1;
std::string name() const { return "logsoftmax"; }
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs}.has(1);
if(axis < 0 || axis > inputs[0].lens().size())
{
MIGRAPHX_THROW("LogSoftMax: input axis value " + std::to_string(axis) +
" is out of range");
}
return inputs.at(0);
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/lrn.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_LRN_HPP
#define MIGRAPHX_GUARD_OPERATORS_LRN_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct lrn
{
float alpha = 0.0001;
float beta = 0.75;
float bias = 1.0;
int size = 1;
std::string name() const { return "lrn"; }
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.alpha, "alpha"),
f(self.beta, "beta"),
f(self.bias, "bias"),
f(self.size, "size"));
}
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1);
return inputs.front();
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/lstm.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_LSTM_HPP
#define MIGRAPHX_GUARD_OPERATORS_LSTM_HPP
#include <array>
#include <migraphx/op/common.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct lstm
{
std::size_t hidden_size = 1;
std::vector<operation> actv_funcs{sigmoid{}, tanh{}, tanh{}};
rnn_direction direction = rnn_direction::forward;
float clip = 0.0f;
int input_forget = 0;
std::string name() const { return "lstm"; }
shape compute_shape(std::vector<shape> inputs) const
{
auto in_dims = inputs[0].lens();
auto hidden_dims = inputs[2].lens();
if(hidden_size != hidden_dims[2])
{
MIGRAPHX_THROW("LSTM: hidden size mismatch in attribute and input");
}
std::size_t num_directions = 1;
if(direction == rnn_direction::bidirectional)
{
num_directions = 2;
}
if(num_directions != hidden_dims[0])
{
MIGRAPHX_THROW("LSTM: num_direction does not match the direction attribute");
}
std::vector<std::size_t> out_dims(in_dims);
out_dims.insert(out_dims.begin() + 1, num_directions);
out_dims.back() = hidden_size;
return {inputs[0].type(), out_dims};
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/max.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_MAX_HPP
#define MIGRAPHX_GUARD_OPERATORS_MAX_HPP
#include <array>
#include <migraphx/op/binary.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct max : binary
{
std::string name() const { return "max"; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/min.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_MIN_HPP
#define MIGRAPHX_GUARD_OPERATORS_MIN_HPP
#include <array>
#include <migraphx/op/binary.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct min : binary
{
std::string name() const { return "min"; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/mul.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_MUL_HPP
#define MIGRAPHX_GUARD_OPERATORS_MUL_HPP
#include <array>
#include <migraphx/op/binary.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct mul : binary
{
std::string name() const { return "mul"; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/multibroadcast.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_MULTIBROADCAST_HPP
#define MIGRAPHX_GUARD_OPERATORS_MULTIBROADCAST_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct multibroadcast
{
std::vector<std::size_t> output_lens;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.output_lens, "output_lens"));
}
std::string name() const { return "multibroadcast"; }
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1);
auto t = inputs.at(0).type();
auto input = inputs.at(0);
if(input.lens().empty())
MIGRAPHX_THROW("inputs dimensions should be > 0");
if(input.lens().size() > output_lens.size())
MIGRAPHX_THROW("inputs dimensions should <= output size");
std::vector<size_t> bcast_strides(output_lens.size(), 0);
auto offset = output_lens.size() - input.lens().size();
for(int i = input.lens().size() - 1; i >= 0; i--)
{
if(output_lens[i + offset] == input.lens()[i])
{
bcast_strides[i + offset] = input.strides()[i];
}
}
return {t, output_lens, bcast_strides};
}
argument compute(shape output_shape, std::vector<argument> args) const
{
return {std::move(output_shape), std::move(args.at(0).data)};
}
int output_alias(const std::vector<shape>&) const { return 0; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/neg.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_NEG_HPP
#define MIGRAPHX_GUARD_OPERATORS_NEG_HPP
#include <array>
#include <migraphx/op/unary.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct neg : unary
{
std::string name() const { return "neg"; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/operators.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_HPP
#define MIGRAPHX_GUARD_OPERATORS_HPP
#include <migraphx/op/abnormal.hpp>
#include <migraphx/op/abs.hpp>
#include <migraphx/op/acos.hpp>
#include <migraphx/op/add.hpp>
#include <migraphx/op/asin.hpp>
#include <migraphx/op/as_shape.hpp>
#include <migraphx/op/atan.hpp>
#include <migraphx/op/batch_norm.hpp>
#include <migraphx/op/binary.hpp>
#include <migraphx/op/broadcast.hpp>
#include <migraphx/op/common.hpp>
#include <migraphx/op/concat.hpp>
#include <migraphx/op/contiguous.hpp>
#include <migraphx/op/convolution.hpp>
#include <migraphx/op/cosh.hpp>
#include <migraphx/op/cos.hpp>
#include <migraphx/op/div.hpp>
#include <migraphx/op/dot.hpp>
#include <migraphx/op/elu.hpp>
#include <migraphx/op/exp.hpp>
#include <migraphx/op/flatten.hpp>
#include <migraphx/op/gather.hpp>
#include <migraphx/op/gru.hpp>
#include <migraphx/op/identity.hpp>
#include <migraphx/op/im2col.hpp>
#include <migraphx/op/leaky_relu.hpp>
#include <migraphx/op/load.hpp>
#include <migraphx/op/log.hpp>
#include <migraphx/op/logsoftmax.hpp>
#include <migraphx/op/lrn.hpp>
#include <migraphx/op/lstm.hpp>
#include <migraphx/op/max.hpp>
#include <migraphx/op/min.hpp>
#include <migraphx/op/mul.hpp>
#include <migraphx/op/multibroadcast.hpp>
#include <migraphx/op/neg.hpp>
#include <migraphx/op/outline.hpp>
#include <migraphx/op/pad.hpp>
#include <migraphx/op/pooling.hpp>
#include <migraphx/op/relu.hpp>
#include <migraphx/op/reshape.hpp>
#include <migraphx/op/rnn.hpp>
#include <migraphx/op/rnn_last_cell_output.hpp>
#include <migraphx/op/rnn_last_output.hpp>
#include <migraphx/op/scalar.hpp>
#include <migraphx/op/sigmoid.hpp>
#include <migraphx/op/sinh.hpp>
#include <migraphx/op/sin.hpp>
#include <migraphx/op/slice.hpp>
#include <migraphx/op/softmax.hpp>
#include <migraphx/op/squeeze.hpp>
#include <migraphx/op/sub.hpp>
#include <migraphx/op/tanh.hpp>
#include <migraphx/op/tan.hpp>
#include <migraphx/op/transpose.hpp>
#include <migraphx/op/unary.hpp>
#include <migraphx/op/unsqueeze.hpp>
#endif
src/include/migraphx/op/outline.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_OUTLINE_HPP
#define MIGRAPHX_GUARD_OPERATORS_OUTLINE_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct outline
{
shape s;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.s, "shape"));
}
std::string name() const { return "outline"; }
shape compute_shape(const std::vector<shape>& inputs) const
{
check_shapes{inputs, *this}.has(0);
return s;
}
argument compute(const shape&, const std::vector<argument>&) const { return {s, nullptr}; }
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/pad.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_PAD_HPP
#define MIGRAPHX_GUARD_OPERATORS_PAD_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct pad
{
std::vector<int64_t> pads;
float value = 0.0f;
enum pad_op_mode_t
{
constant_pad,
reflect_pad,
edge_pad
};
pad_op_mode_t mode = constant_pad;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.mode, "mode"), f(self.pads, "pads"), f(self.value, "value"));
}
std::string name() const { return "pad"; }
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1);
auto&& idims = inputs.front().lens();
std::vector<std::size_t> rdims(idims.begin(), idims.end());
std::size_t num_dims = rdims.size();
for(std::size_t i = 0; i < num_dims; i++)
{
rdims[i] += pads[i] + pads[i + num_dims];
}
shape s{inputs.front().type(), rdims};
return s;
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/op/pooling.hpp 0 → 100644
View file @ 3886135d
#ifndef MIGRAPHX_GUARD_OPERATORS_POOLING_HPP
#define MIGRAPHX_GUARD_OPERATORS_POOLING_HPP
#include <array>
#include <migraphx/operation.hpp>
#include <migraphx/check_shapes.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/streamutils.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/shape_for_each.hpp>
#include <migraphx/config.hpp>
#include <cmath>
#include <utility>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct pooling
{
std::string mode = "average";
std::array<std::size_t, 2> padding = {{0, 0}};
std::array<std::size_t, 2> stride = {{1, 1}};
std::array<std::size_t, 2> lengths = {{1, 1}};
padding_mode_t padding_mode = default_;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.mode, "mode"),
f(self.padding, "padding"),
f(self.padding, "padding_mode"),
f(self.stride, "stride"),
f(self.lengths, "lengths"));
}
std::string name() const { return "pooling"; }
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1).only_dims(4);
const shape& input = inputs.at(0);
auto t = input.type();
assert(lengths[0] <= (input.lens()[2] + 2 * padding[0]));
assert(lengths[1] <= (input.lens()[3] + 2 * padding[1]));
if(padding_mode == default_)
{
return {
t,
{
input.lens()[0],
input.lens()[1],
std::size_t(std::max<std::ptrdiff_t>(
1,
std::ptrdiff_t(std::floor((input.lens()[2] + 2 * padding[0] - lengths[0]) /
static_cast<float>(stride[0]))) +
1)),
std::size_t(std::max<std::ptrdiff_t>(
1,
std::ptrdiff_t(std::floor((input.lens()[3] + 2 * padding[1] - lengths[1]) /
static_cast<float>(stride[1]))) +
1)),
}};
}
else if(padding_mode == same)
{
return {t,
{input.lens()[0],
input.lens()[1],
static_cast<std::size_t>(
std::ceil(static_cast<double>(input.lens()[2]) / stride[0])),
static_cast<std::size_t>(
std::ceil(static_cast<double>(input.lens()[3]) / stride[1]))}};
}
else if(padding_mode == valid)
{
return {t,
{
input.lens()[0],
input.lens()[1],
std::size_t(std::max<std::ptrdiff_t>(
1,
std::ptrdiff_t(std::floor((input.lens()[2] - lengths[0]) /
static_cast<float>(stride[0]))) +
1)),
std::size_t(std::max<std::ptrdiff_t>(
1,
std::ptrdiff_t(std::floor((input.lens()[3] - lengths[1]) /
static_cast<float>(stride[1]))) +
1)),
}};
}
else
{
MIGRAPHX_THROW("Invalid padding mode");
}
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
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