MLECO-1860: Support for Arm GNU Embedded Toolchain
This patch enables compilation of ML use cases bare-metal applications
using Arm GNU Embedded Toolchain. The GNU toolchain can be used instead
of the Arm Compiler that was already supported.
The GNU toolchain is also set as the default toolchain when building
applications for the MPS3 target.
Note: The version of GNU toolchain must be 10.2.1 or higher.
Change-Id: I5fff242f0f52d2db6c75d292f9fa990df1aec978
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
diff --git a/source/application/tensorflow-lite-micro/Model.cc b/source/application/tensorflow-lite-micro/Model.cc
index abf97b6..4a7f0a4 100644
--- a/source/application/tensorflow-lite-micro/Model.cc
+++ b/source/application/tensorflow-lite-micro/Model.cc
@@ -19,6 +19,7 @@
#include "hal.h"
#include <cstdint>
+#include <inttypes.h>
/* Initialise the model */
arm::app::Model::~Model()
@@ -156,8 +157,8 @@
debug("\ttensor is assigned to 0x%p\n", tensor);
info("\ttensor type is %s\n", TfLiteTypeGetName(tensor->type));
- info("\ttensor occupies %u bytes with dimensions\n",
- (uint32_t)tensor->bytes);
+ info("\ttensor occupies %zu bytes with dimensions\n",
+ tensor->bytes);
for (int i = 0 ; i < tensor->dims->size; ++i) {
info ("\t\t%d: %3d\n", i, tensor->dims->data[i]);
}
@@ -165,7 +166,7 @@
TfLiteQuantization quant = tensor->quantization;
if (kTfLiteAffineQuantization == quant.type) {
auto* quantParams = (TfLiteAffineQuantization*)quant.params;
- info("Quant dimension: %u\n", quantParams->quantized_dimension);
+ info("Quant dimension: %" PRIi32 "\n", quantParams->quantized_dimension);
for (int i = 0; i < quantParams->scale->size; ++i) {
info("Scale[%d] = %f\n", i, quantParams->scale->data[i]);
}
@@ -195,11 +196,11 @@
info("Activation buffer (a.k.a tensor arena) size used: %zu\n",
this->_m_pInterpreter->arena_used_bytes());
- const uint32_t nOperators = this->_m_pInterpreter->operators_size();
- info("Number of operators: %u\n", nOperators);
+ const size_t nOperators = this->_m_pInterpreter->operators_size();
+ info("Number of operators: %zu\n", nOperators);
/* For each operator, display registration information */
- for (uint32_t i = 0 ; i < nOperators; ++i) {
+ for (size_t i = 0 ; i < nOperators; ++i) {
const tflite::NodeAndRegistration nodeReg =
this->_m_pInterpreter->node_and_registration(i);
const TfLiteRegistration* reg = nodeReg.registration;
@@ -213,7 +214,7 @@
tflite::BuiltinOperator(reg->builtin_code)));
}
}
- info("\tOperator %u: %s\n", i, opName.c_str());
+ info("\tOperator %zu: %s\n", i, opName.c_str());
}
}