fix error message (#117)

Summary:
Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/117

Fixes error message with mismatching parameters.

Before:
```
[FBGEMM_CONV_ERROR] Prepacked weights can't be used with these convolution parameters!

```
After
```
[FBGEMM_CONV_ERROR] Convolution parameters mismatch between pre-packed weights and conv invocation! stride [1, 1] vs [2, 1]; Please pack weights using the same parameters with which convolution operation is invoked!
```

Reviewed By: jianyuh

Differential Revision: D16749007

fbshipit-source-id: 7a3083f2955b798ae28d25ce1963c7de63654551

4 files changed, 92 insertions, 3 deletions

diff --git a/include/fbgemm/Fbgemm.h b/include/fbgemm/Fbgemm.h
index 68963fa..543f1cb 100644
--- a/include/fbgemm/Fbgemm.h
+++ b/include/fbgemm/Fbgemm.h
@@ -628,6 +628,11 @@ class FBGEMM_API PackWeightsForConv {
   bool isPackingCompliant(const conv_param_t<SPATIAL_DIM>& conv_p);
 
   /**
+   * @brief Returns a string of mismatching parameters
+   */
+  std::string mismatchingParams(const conv_param_t<SPATIAL_DIM>& conv_p);
+
+  /**
    * @brief Unpack packed matric into origin_buf (Used for the serialization to
    * recover weight matrix).
    */
diff --git a/include/fbgemm/Utils.h b/include/fbgemm/Utils.h
index 3f8522b..0b738c7 100644
--- a/include/fbgemm/Utils.h
+++ b/include/fbgemm/Utils.h
@@ -5,6 +5,7 @@
  * LICENSE file in the root directory of this source tree.
  */
 #pragma once
+#include <array>
 #include <string>
 #include <type_traits>
 #include "FbgemmBuild.h"
@@ -121,6 +122,16 @@ struct FBGEMM_API BlockingFactors {
   int NCB;
 };
 
+template <int SIZE, typename T = std::int32_t>
+FBGEMM_API std::string arrayToString(const std::array<T, SIZE>& inp) {
+  std::string out = "[";
+  for (int i = 0; i < SIZE; ++i) {
+    out += std::to_string(inp[i]);
+    out += (i != SIZE - 1) ? std::string(", ") : std::string("]");
+  }
+  return out;
+}
+
 template <typename accT = std::int32_t>
 FBGEMM_API bool isValidBlockingFactor(BlockingFactors* param) {
   constexpr bool is_32bit = std::is_same<accT, int32_t>::value;
diff --git a/src/FbgemmConv.cc b/src/FbgemmConv.cc
index 027e6c5..33d1535 100644
--- a/src/FbgemmConv.cc
+++ b/src/FbgemmConv.cc
@@ -73,9 +73,14 @@ int fbgemmConv(
       "Only 2D and 3D convolutions are supported");
 
   if (!packed_weights.isPackingCompliant(conv_p)) {
-    throw std::logic_error(
-        "[FBGEMM_CONV_ERROR] Prepacked weights can't be used"
-        " with these convolution parameters!");
+    std::string msg =
+        "[FBGEMM_CONV_ERROR] Convolution parameters "
+        "mismatch between pre-packed weights and conv invocation! ";
+    msg += packed_weights.mismatchingParams(conv_p);
+    msg += std::string(
+        " Please pack weights using the same parameters "
+        "with which convolution operation is invoked!");
+    throw std::logic_error(msg);
   }
 
   switch (ConvFastPath<SPATIAL_DIM, ACC_T>(conv_p)) {
diff --git a/src/PackWeightsForConv.cc b/src/PackWeightsForConv.cc
index 25b04af..44f210e 100644
--- a/src/PackWeightsForConv.cc
+++ b/src/PackWeightsForConv.cc
@@ -125,6 +125,74 @@ bool PackWeightsForConv<SPATIAL_DIM, T, accT>::isPackingCompliant(
              test_conv_p.dilation.begin());
 }
 
+template <int SPATIAL_DIM, typename T, typename accT>
+std::string PackWeightsForConv<SPATIAL_DIM, T, accT>::mismatchingParams(
+    const conv_param_t<SPATIAL_DIM>& test_conv_p) {
+  std::string msg = "";
+
+  auto combineStr = [](std::string id, std::string str1, std::string str2) {
+    std::string out = id + std::string(" ");
+    out += str1;
+    out += std::string(" vs ") + str2;
+    out += std::string(";");
+    return out;
+  };
+
+  auto combineInt = [&combineStr](std::string id, int int1, int int2) {
+   return combineStr(id, std::to_string(int1), std::to_string(int2));
+  };
+
+  if (conv_param_.IC != test_conv_p.IC) {
+    msg += combineInt("input_channels", conv_param_.IC, test_conv_p.IC);
+  }
+  if (conv_param_.OC != test_conv_p.OC) {
+    msg += combineInt("output_channels", conv_param_.IC, test_conv_p.IC);
+  }
+  if (conv_param_.G != test_conv_p.G) {
+    msg += combineInt("groups", conv_param_.G, test_conv_p.G);
+  }
+
+  if (!std::equal(
+          conv_param_.K.begin(), conv_param_.K.end(), test_conv_p.K.begin())) {
+    msg += combineStr(
+        "kernel",
+        arrayToString<SPATIAL_DIM>(conv_param_.K),
+        arrayToString<SPATIAL_DIM>(test_conv_p.K));
+  }
+
+  if (!std::equal(
+          conv_param_.stride.begin(),
+          conv_param_.stride.end(),
+          test_conv_p.stride.begin())) {
+    msg += combineStr(
+        "stride",
+        arrayToString<SPATIAL_DIM>(conv_param_.stride),
+        arrayToString<SPATIAL_DIM>(test_conv_p.stride));
+  }
+
+  if (!std::equal(
+          conv_param_.pad.begin(),
+          conv_param_.pad.end(),
+          test_conv_p.pad.begin())) {
+    msg += combineStr(
+        "pad",
+        arrayToString<2 * SPATIAL_DIM>(conv_param_.pad),
+        arrayToString<2 * SPATIAL_DIM>(test_conv_p.pad));
+  }
+
+  if (!std::equal(
+          conv_param_.dilation.begin(),
+          conv_param_.dilation.end(),
+          test_conv_p.dilation.begin())) {
+    msg += combineStr(
+        "dilation",
+        arrayToString<SPATIAL_DIM>(conv_param_.dilation),
+        arrayToString<SPATIAL_DIM>(test_conv_p.dilation));
+  }
+
+  return msg;
+}
+
 template class PackWeightsForConv<2, int8_t, int32_t>;
 template class PackWeightsForConv<3, int8_t, int32_t>;