Improved error messages

include/aidge/backend/cuda/data/TensorImpl.hpp

@@ -88,11 +88,11 @@ public:
     std::size_t scalarSize() const noexcept override { return sizeof(T); }
 
     void copy(const void *src, NbElts_t length, NbElts_t offset = 0) override {
-        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "copy length is above capacity");
+        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "TensorImpl_cuda<{}>::copy(): copy length ({}) is above capacity ({})", typeid(T).name(), length, mNbElts);
         const T* srcT = static_cast<const T *>(src);
         T* dstT = static_cast<T *>(rawPtr(offset));
 
-        AIDGE_ASSERT(dstT < srcT || dstT >= srcT + length, "overlapping copy is not supported");
+        AIDGE_ASSERT(dstT < srcT || dstT >= srcT + length, "TensorImpl_cuda<{}>::copy(): overlapping copy is not supported", typeid(T).name());
         CHECK_CUDA_STATUS(cudaMemcpy(dstT, srcT, length * sizeof(T), cudaMemcpyDeviceToDevice));
     }
 
@@ -101,7 +101,7 @@ public:
             return;
         }
 
-        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "copy length is above capacity");
+        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "TensorImpl_cuda<{}>::copyCast(): copy length ({}) is above capacity ({})", typeid(T).name(), length, mNbElts);
         switch (srcDt) {
         case DataType::Float64:
             thrust_copy(static_cast<const double*>(src),
@@ -159,23 +159,23 @@ public:
                         length);
             break;
         default:
-            AIDGE_THROW_OR_ABORT(std::runtime_error, "Unsupported data type.");
+            AIDGE_THROW_OR_ABORT(std::runtime_error, "TensorImpl_cuda<{}>::copyCast(): unsupported data type {}.", typeid(T).name(), srcDt);
             break;
         }
     }
 
     void copyFromDevice(const void *src, const std::pair<std::string, DeviceIdx_t>& device, NbElts_t length, NbElts_t offset = 0) override {
-        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "copy length is above capacity");
+        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "TensorImpl_cuda<{}>::copyFromDevice(): copy length ({}) is above capacity ({})", typeid(T).name(), length, mNbElts);
         CHECK_CUDA_STATUS(cudaMemcpy(rawPtr(offset), src, length * sizeof(T), cudaMemcpyDeviceToDevice));
     }
 
     void copyFromHost(const void *src, NbElts_t length, NbElts_t offset = 0) override {
-        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "copy length is above capacity");
+        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "TensorImpl_cuda<{}>::copyFromHost(): copy length ({}) is above capacity ({})", typeid(T).name(), length, mNbElts);
         CHECK_CUDA_STATUS(cudaMemcpy(rawPtr(offset), src, length * sizeof(T), cudaMemcpyHostToDevice));
     }
 
     void copyToHost(void *dst, NbElts_t length, NbElts_t offset = 0) const override {
-        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "copy length is above capacity");
+        AIDGE_ASSERT(length <= mData.size() || length <= mNbElts, "TensorImpl_cuda<{}>::copyToHost(): copy length ({}) is above capacity ({})", typeid(T).name(), length, mNbElts);
         CHECK_CUDA_STATUS(cudaMemcpy(dst, rawPtr(offset), length * sizeof(T), cudaMemcpyDeviceToHost));
     }
 
@@ -185,7 +185,7 @@ public:
     };
 
     const void *rawPtr(NbElts_t offset = 0) const override {
-        AIDGE_ASSERT(mData.size() >= mNbElts, "accessing uninitialized const rawPtr");
+        AIDGE_ASSERT(mData.size() >= mNbElts, "TensorImpl_cuda<{}>::rawPtr(): accessing uninitialized const rawPtr", typeid(T).name());
         return (mData.data() + offset);
     };
 
@@ -220,7 +220,7 @@ public:
     }
 
     void setRawPtr(void *ptr, NbElts_t length) override final {
-        AIDGE_ASSERT(length >= mNbElts, "trying to set raw pointer of insufficient capacity");
+        AIDGE_ASSERT(length >= mNbElts, "TensorImpl_cuda<{}>::setRawPtr(): trying to set raw pointer (length: {}) of insufficient capacity (required: {})", typeid(T).name(), length, mNbElts);
         mData = future_std::span<T>(static_cast<T *>(ptr), length);
         mDataOwner.reset();
     };
@@ -231,7 +231,7 @@ private:
     void lazyInit() {
         if (mData.size() < mNbElts) {
             // Need more data, a re-allocation will occur
-            AIDGE_ASSERT(mData.empty() || mDataOwner != nullptr, "trying to enlarge non-owned data");
+            AIDGE_ASSERT(mData.empty() || mDataOwner != nullptr, "TensorImpl_cuda<{}>: trying to enlarge non-owned data", typeid(T).name());
             mDataOwner.reset(cudaAlloc(mNbElts));
             mData = future_std::span<T>(mDataOwner.get(), mNbElts);
         }