diff options
Diffstat (limited to 'arm_compute/core/Validate.h')
| -rw-r--r-- | arm_compute/core/Validate.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/core/Validate.h b/arm_compute/core/Validate.h index ab518ef687..76a32f4007 100644 --- a/arm_compute/core/Validate.h +++ b/arm_compute/core/Validate.h @@ -663,7 +663,7 @@ inline arm_compute::Status error_on_data_type_not_in(const char *function, const ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_dt == DataType::UNKNOWN, function, file, line); const std::array<T, sizeof...(Ts)> dts_array{ { std::forward<Ts>(dts)... } }; - ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(tensor_dt != dt && std::none_of(dts_array.begin(), dts_array.end(), [&](const T & d) + ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor_dt != dt && std::none_of(dts_array.begin(), dts_array.end(), [&](const T & d) { return d == tensor_dt; }), @@ -715,7 +715,7 @@ inline arm_compute::Status error_on_data_layout_not_in(const char *function, con ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_dl == DataLayout::UNKNOWN, function, file, line); const std::array<T, sizeof...(Ts)> dls_array{ { std::forward<Ts>(dls)... } }; - ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(tensor_dl != dl && std::none_of(dls_array.begin(), dls_array.end(), [&](const T & l) + ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor_dl != dl && std::none_of(dls_array.begin(), dls_array.end(), [&](const T & l) { return l == tensor_dl; }), @@ -764,7 +764,7 @@ inline arm_compute::Status error_on_data_type_channel_not_in(const char *functio { ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(function, file, line, tensor_info, std::forward<T>(dt), std::forward<Ts>(dts)...)); const size_t tensor_nc = tensor_info->num_channels(); - ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(tensor_nc != num_channels, function, file, line, "Number of channels %d. Required number of channels %d", tensor_nc, num_channels); + ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor_nc != num_channels, function, file, line, "Number of channels %zu. Required number of channels %zu", tensor_nc, num_channels); return arm_compute::Status{}; } /** Return an error if the data type or the number of channels of the passed tensor does not match any of the data types and number of channels provided. |