Expression Templates Library (ETL)
dyn_conv_4d_valid_back_expr.hpp
1 //=======================================================================
2 // Copyright (c) 2014-2023 Baptiste Wicht
3 // Distributed under the terms of the MIT License.
4 // (See accompanying file LICENSE or copy at
5 // http://opensource.org/licenses/MIT)
6 //=======================================================================
7 
8 #pragma once
9 
10 #include "etl/expr/base_temporary_expr.hpp"
11 
12 //Get the implementations
13 #include "etl/impl/conv.hpp"
14 
15 namespace etl {
16 
21 template <etl_4d A, etl_4d B, bool Flipped>
22 struct dyn_conv_4d_valid_back_expr : base_temporary_expr_bin<dyn_conv_4d_valid_back_expr<A, B, Flipped>, A, B> {
27 
28  static constexpr auto storage_order = left_traits::storage_order;
29 
34  static constexpr bool gpu_computable = cudnn_enabled && impl::cudnn::conv_possible_<A, B>;
35 
36  const size_t s1;
37  const size_t s2;
38  const size_t p1;
39  const size_t p2;
40 
45  explicit dyn_conv_4d_valid_back_expr(A a, B b, size_t s1, size_t s2, size_t p1, size_t p2) : base_type(a, b), s1(s1), s2(s2), p1(p1), p2(p2) {
46  //Nothing else to init
47  }
48 
49  // Assignment functions
50 
54  template <etl_4d I, etl_4d K, etl_4d C>
55  void check([[maybe_unused]] const I& input, [[maybe_unused]] const K& kernel, [[maybe_unused]] const C& conv) const {
56  cpp_assert(etl::dim(conv, 0) == etl::dim(input, 0), "Invalid dimensions for conv4_valid_back");
57  cpp_assert(etl::dim(conv, 1) == etl::dim(kernel, 1), "Invalid dimensions for conv4_valid_back");
58  cpp_assert(etl::dim(input, 1) == etl::dim(kernel, 0), "Invalid dimensions for conv4_valid_back");
59 
60  cpp_assert(etl::dim(conv, 2) == (etl::dim(input, 2) - etl::dim(kernel, 2) + 2 * p1) / s1 + 1, "Invalid dimensions for conv4_valid_back");
61  cpp_assert(etl::dim(conv, 3) == (etl::dim(input, 3) - etl::dim(kernel, 3) + 2 * p2) / s2 + 1, "Invalid dimensions for conv4_valid_back");
62  }
63 
68  template <etl_4d C>
69  void assign_to(C&& c) const {
70  inc_counter("temp:assign");
71 
72  auto& a = this->a();
73  auto& b = this->b();
74 
75  check(a, b, c);
76 
77  if constexpr (Flipped) {
79  } else {
80  detail::dyn_conv4_valid_back_impl::apply(a, b, c, s1, s2, p1, p2);
81  }
82  }
83 
88  template <etl_4d L>
89  void assign_add_to(L&& lhs) const {
90  std_add_evaluate(*this, lhs);
91  }
92 
97  template <etl_4d L>
98  void assign_sub_to(L&& lhs) const {
99  std_sub_evaluate(*this, lhs);
100  }
101 
106  template <etl_4d L>
107  void assign_mul_to(L&& lhs) const {
108  std_mul_evaluate(*this, lhs);
109  }
110 
115  template <etl_4d L>
116  void assign_div_to(L&& lhs) const {
117  std_div_evaluate(*this, lhs);
118  }
119 
124  template <etl_4d L>
125  void assign_mod_to(L&& lhs) const {
126  std_mod_evaluate(*this, lhs);
127  }
128 
135  friend std::ostream& operator<<(std::ostream& os, const dyn_conv_4d_valid_back_expr& expr) {
136  return os << "conv4_valid_back(" << expr._a << ", " << expr._b << ")";
137  }
138 };
139 
144 template <etl_4d A, etl_4d B, bool Flipped>
145 struct etl_traits<etl::dyn_conv_4d_valid_back_expr<A, B, Flipped>> {
147  using left_expr_t = std::decay_t<A>;
148  using right_expr_t = std::decay_t<B>;
152 
153  static constexpr bool is_etl = true;
154  static constexpr bool is_transformer = false;
155  static constexpr bool is_view = false;
156  static constexpr bool is_magic_view = false;
157  static constexpr bool is_fast = false;
158  static constexpr bool is_linear = false;
159  static constexpr bool is_thread_safe = true;
160  static constexpr bool is_value = false;
161  static constexpr bool is_direct = true;
162  static constexpr bool is_generator = false;
163  static constexpr bool is_padded = false;
164  static constexpr bool is_aligned = true;
165  static constexpr bool is_temporary = true;
166  static constexpr order storage_order = left_traits::storage_order;
167  static constexpr bool gpu_computable = is_gpu_t<value_type> && cuda_enabled;
168 
174  template <vector_mode_t V>
175  static constexpr bool vectorizable = true;
176 
183  static size_t dim(const expr_t& e, size_t d) {
184  if (d == 0) {
185  return etl::dim(e._a, 0);
186  } else if (d == 1) {
187  return etl::dim(e._b, 1);
188  } else if (d == 2) {
189  return (etl::dim(e._a, 2) - etl::dim(e._b, 2) + 2 * e.p1) / e.s1 + 1;
190  } else {
191  return (etl::dim(e._a, 3) - etl::dim(e._b, 3) + 2 * e.p2) / e.s2 + 1;
192  }
193  }
194 
200  static size_t size(const expr_t& e) {
201  return etl::dim(e._a, 0) * etl::dim(e._b, 1) * ((etl::dim(e._a, 2) - etl::dim(e._b, 2) + 2 * e.p1) / e.s1 + 1)
202  * ((etl::dim(e._a, 3) - etl::dim(e._b, 3) + 2 * e.p2) / e.s2 + 1);
203  }
204 
209  static constexpr size_t dimensions() {
210  return 4;
211  }
212 
217  static constexpr int complexity() noexcept {
218  return -1;
219  }
220 };
221 
232 template <etl_4d A, etl_4d B>
234  A&& a, B&& b, size_t s1, size_t s2, size_t p1 = 0, size_t p2 = 0) {
235  return dyn_conv_4d_valid_back_expr<detail::build_type<A>, detail::build_type<B>, false>{a, b, s1, s2, p1, p2};
236 }
237 
249 template <etl_4d A, etl_4d B, etl_4d C>
250 auto conv_4d_valid_back(A&& a, B&& b, C&& c, size_t s1, size_t s2, size_t p1, size_t p2) {
251  c = conv_4d_valid_back(a, b, s1, s2, p1, p2);
252 
253  return c;
254 }
255 
266 template <etl_4d A, etl_4d B>
268  A&& a, B&& b, size_t s1, size_t s2, size_t p1 = 0, size_t p2 = 0) {
269  return dyn_conv_4d_valid_back_expr<detail::build_type<A>, detail::build_type<B>, true>{a, b, s1, s2, p1, p2};
270 }
271 
283 template <etl_4d A, etl_4d B, etl_4d C>
284 auto conv_4d_valid_back_flipped(A&& a, B&& b, C&& c, size_t s1, size_t s2, size_t p1, size_t p2) {
285  c = conv_4d_valid_back_flipped(a, b, s1, s2, p1, p2);
286 
287  return c;
288 }
289 
290 } //end of namespace etl
std::decay_t< A > left_expr_t
The left sub expression type.
Definition: dyn_conv_4d_valid_back_expr.hpp:147
void assign_div_to(L &&lhs) const
Divide the given left-hand-side expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:116
dyn_conv_4d_valid_back_expr(A a, B b, size_t s1, size_t s2, size_t p1, size_t p2)
Construct a new expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:45
static constexpr size_t dimensions()
Returns the number of dimensions of the expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:209
void assign_mul_to(L &&lhs) const
Multiply the given left-hand-side expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:107
B _b
The sub expression reference.
Definition: base_temporary_expr.hpp:534
const size_t s1
The stride of the first dimension.
Definition: dyn_conv_4d_valid_back_expr.hpp:36
constexpr bool is_magic_view
Traits indicating if the given ETL type is a magic view expression.
Definition: traits.hpp:311
A _a
The sub expression reference.
Definition: base_temporary_expr.hpp:533
static void apply(const I &input, const K &kernel, C &&conv, size_t s1, size_t s2, size_t p1, size_t p2)
Apply the convolution.
Definition: conv_4d.hpp:380
friend std::ostream & operator<<(std::ostream &os, const dyn_conv_4d_valid_back_expr &expr)
Print a representation of the expression on the given stream.
Definition: dyn_conv_4d_valid_back_expr.hpp:135
static constexpr auto storage_order
The sub storage order.
Definition: dyn_conv_4d_valid_back_expr.hpp:28
const size_t s2
The stride of the second dimension.
Definition: dyn_conv_4d_valid_back_expr.hpp:37
std::decay_t< B > right_expr_t
The right sub expression type.
Definition: dyn_conv_4d_valid_back_expr.hpp:148
order
Storage order of a matrix.
Definition: order.hpp:15
constexpr bool cuda_enabled
Indicates if CUDA is available.
Definition: config.hpp:94
Abstract base class for temporary binary expression.
Definition: base_temporary_expr.hpp:529
std::add_lvalue_reference_t< B > b()
Returns the sub expression.
Definition: base_temporary_expr.hpp:593
constexpr bool is_fast
Traits to test if the given ETL expresion type is fast (sizes known at compile-time) ...
Definition: traits.hpp:588
Traits to get information about ETL types.
Definition: tmp.hpp:68
static size_t size(const expr_t &e)
Returns the size of the expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:200
Root namespace for the ETL library.
Definition: adapter.hpp:15
A transposition expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:22
auto dim(E &&value, size_t i) -> detail::identity_helper< E, dim_view< detail::build_identity_type< E >, D >>
Return a view representing the ith Dth dimension.
Definition: view_expression_builder.hpp:25
std::conditional_t< is_etl_value< T >, const std::decay_t< T > &, std::decay_t< T > > build_type
Helper to build the type for a sub expression.
Definition: expression_helpers.hpp:24
void assign_add_to(L &&lhs) const
Add to the given left-hand-side expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:89
constexpr bool cudnn_enabled
Indicates if the NVIDIA CUDNN library is available for ETL.
Definition: config.hpp:114
void assign_mod_to(L &&lhs) const
Modulo the given left-hand-side expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:125
static size_t dim(const expr_t &e, size_t d)
Returns the dth dimension of the expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:183
void std_mod_evaluate(Expr &&expr, Result &&result)
Compound modulo evaluation of the expr into result.
Definition: evaluator.hpp:1271
const size_t p1
The padding of the first dimension.
Definition: dyn_conv_4d_valid_back_expr.hpp:38
void std_mul_evaluate(Expr &&expr, Result &&result)
Compound multiply evaluation of the expr into result.
Definition: evaluator.hpp:1233
constexpr bool is_transformer
Traits indicating if the given ETL type is a transformer expression.
Definition: traits.hpp:297
const size_t p2
The padding of the second dimension.
Definition: dyn_conv_4d_valid_back_expr.hpp:39
void assign_sub_to(L &&lhs) const
Sub from the given left-hand-side expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:98
Selector for the convolution implementations.
constexpr bool is_view
Traits indicating if the given ETL type is a view expression.
Definition: traits.hpp:304
static constexpr int complexity() noexcept
Estimate the complexity of computation.
Definition: dyn_conv_4d_valid_back_expr.hpp:217
void check([[maybe_unused]] const I &input, [[maybe_unused]] const K &kernel, [[maybe_unused]] const C &conv) const
Assert that the convolution is done on correct dimensions.
Definition: dyn_conv_4d_valid_back_expr.hpp:55
conv_4d_valid_back_expr< detail::build_type< A >, detail::build_type< B >, S1, S2, P1, P2, false > conv_4d_valid_back(A &&a, B &&b)
Creates an expression representing the &#39;valid&#39; 1D convolution of a and b.
Definition: conv_4d_valid_back_expr.hpp:258
void std_sub_evaluate(Expr &&expr, Result &&result)
Compound subtract evaluation of the expr into result.
Definition: evaluator.hpp:1214
value_t< A > value_type
The value type of the expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:151
void assign_to(C &&c) const
Assign to a matrix of the full storage order.
Definition: dyn_conv_4d_valid_back_expr.hpp:69
constexpr bool is_thread_safe
Traits to test if the given ETL expresion type is thread safe.
Definition: traits.hpp:687
conv_4d_valid_back_expr< detail::build_type< A >, detail::build_type< B >, S1, S2, P1, P2, true > conv_4d_valid_back_flipped(A &&a, B &&b)
Creates an expression representing the &#39;valid&#39; 1D convolution of a and flipped b. ...
Definition: conv_4d_valid_back_expr.hpp:294
static void apply(const I &input, const K &kernel, C &&conv, size_t s1, size_t s2, size_t p1, size_t p2)
Apply the convolution.
Definition: conv_4d.hpp:352
typename decay_traits< E >::value_type value_t
Traits to extract the value type out of an ETL type.
Definition: tmp.hpp:81
void std_div_evaluate(Expr &&expr, Result &&result)
Compound divide evaluation of the expr into result.
Definition: evaluator.hpp:1252
value_t< A > value_type
The type of value of the expression.
Definition: dyn_conv_4d_valid_back_expr.hpp:23
void inc_counter([[maybe_unused]] const char *name)
Increase the given counter.
Definition: counters.hpp:25
std::add_lvalue_reference_t< A > a()
Returns the sub expression.
Definition: base_temporary_expr.hpp:577
void std_add_evaluate(Expr &&expr, Result &&result)
Compound add evaluation of the expr into result.
Definition: evaluator.hpp:1195
static constexpr bool gpu_computable
Indicates if the temporary expression can be directly evaluated using only GPU.
Definition: dyn_conv_4d_valid_back_expr.hpp:34