Add tensor related data structures for the new API
Adds the following:
- TensorDescriptor: which is responsible for holding the information
needed to represent a tensor (e.g. shape, dimensions, etc)
- Tensor: an aggreate object of a descriptor and a backing memory
- TensorPack: A map of tensor that can be passed to operators as
inputs/outputs
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I02734ac6ad85700d91d6e73217b4637adbf5d177
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5260
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/utils/logging/Macros.h b/arm_compute/core/utils/logging/Macros.h
index 21ed721..1108dd3 100644
--- a/arm_compute/core/utils/logging/Macros.h
+++ b/arm_compute/core/utils/logging/Macros.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -40,6 +40,18 @@
} \
} while(false)
+#define ARM_COMPUTE_LOG_MSG_WITH_FUNCNAME(logger_name, log_level, msg) \
+ do \
+ { \
+ auto __logger = arm_compute::logging::LoggerRegistry::get().logger(logger_name); \
+ if(__logger != nullptr) \
+ { \
+ std::ostringstream s; \
+ s << __func__ << ":" << msg; \
+ __logger->log(log_level, s.str()); \
+ } \
+ } while(false)
+
#define ARM_COMPUTE_LOG_MSG_WITH_FORMAT(logger_name, log_level, fmt, ...) \
do \
{ \
@@ -68,6 +80,7 @@
#else /* ARM_COMPUTE_LOGGING_ENABLED */
#define ARM_COMPUTE_LOG_MSG(logger_name, log_level, msg)
+#define ARM_COMPUTE_LOG_MSG_WITH_FUNCNAME(logger_name, log_level, msg)
#define ARM_COMPUTE_LOG_MSG_WITH_FORMAT(logger_name, log_level, fmt, ...)
#define ARM_COMPUTE_LOG_STREAM(logger_name, log_level, stream)