#0: Clean up confusing refs to Greyskull from ttnn.copy error messages.

tenstorrent · Jan 11, 2025 · 9f9088b · 9f9088b
1 parent ca2c867
commit 9f9088b
Showing 1 changed file with 8 additions and 8 deletions.
diff --git a/ttnn/cpp/ttnn/operations/data_movement/copy/device/copy_device_operation.cpp b/ttnn/cpp/ttnn/operations/data_movement/copy/device/copy_device_operation.cpp
@@ -13,14 +13,14 @@ namespace ttnn::operations::data_movement {
 void CopyDeviceOperation::validate_with_output_tensors(
     const std::vector<Tensor>& input_tensors, const std::vector<std::optional<Tensor>>& output_tensors) const {
     const auto& input_tensor_a = input_tensors.at(0);
-    TT_FATAL(
-        input_tensor_a.get_dtype() == DataType::BFLOAT16 or input_tensor_a.get_dtype() == DataType::BFLOAT8_B or
-            input_tensor_a.get_dtype() == DataType::FLOAT32 or input_tensor_a.get_dtype() == DataType::BFLOAT4_B,
-        "Typecast operation is only supported on Grayskull for float/bfloat inputs");
-    TT_FATAL(
-        this->output_dtype == DataType::BFLOAT16 or this->output_dtype == DataType::BFLOAT8_B or
-            this->output_dtype == DataType::FLOAT32 or this->output_dtype == DataType::BFLOAT4_B,
-        "Typecast operation is only supported on Grayskull for float/bfloat outputs");
+    TT_FATAL(input_tensor_a.get_dtype() == DataType::BFLOAT16 or input_tensor_a.get_dtype() == DataType::BFLOAT8_B or
+             input_tensor_a.get_dtype() == DataType::FLOAT32 or input_tensor_a.get_dtype() == DataType::BFLOAT4_B,
+             "ttnn.copy only supports float/bfloat inputs but got {}",
+             input_tensor_a.get_dtype());
+    TT_FATAL(this->output_dtype == DataType::BFLOAT16 or this->output_dtype == DataType::BFLOAT8_B or
+             this->output_dtype == DataType::FLOAT32 or this->output_dtype == DataType::BFLOAT4_B,
+             "ttnn.copy only supports float/bfloat output tensors but got {}",
+             this->output_dtype);
     TT_FATAL(input_tensor_a.storage_type() == StorageType::DEVICE, "Operands to copy need to be on device!");
     TT_FATAL(input_tensor_a.buffer() != nullptr, "Operands to copy need to be allocated in buffers on device!");
     TT_FATAL(input_tensor_a.memory_config().memory_layout == TensorMemoryLayout::INTERLEAVED, "Error");