New files for Tensorflow Lite Micro Speech Example targetting the Eta…

tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/README.txt

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+Running The Micro Speech Example On Eta Compute's ECM3531EVB
+
+This code will enable you to compile and execute the Tensorflow Lite Micro Speech Example on Eta Computes's low power ECM3531 chip.
+
+
+GETTING STARTED:
+
+1. Download the Tensorflow code from Github and follow instructions there to download other dependencies.  
+
+2. Download the Eta Compute SDK, version 0.0.17.
+
+3. Install the Arm compiler arm-none-eabi-gcc, version = arm-none-eabi-gcc (GNU Tools for Arm Embedded Processors 7-2018-q2-update) 7.3.1 20180622 (release) [ARM/embedded-7-branch revision 261907]
+
+4. Edit the file   tensorflow/lite/experimental/micro/tools/make/targets/ecm3531_makefile.inc  so that the variable ETA_SDK points to the location where the Eta Compute SDK is installed, and the variable GCC_ARM points to the Arm compiler.
+
+5. Compile the code with the command   "make -f tensorflow/lite/experimental/micro/tools/make/Makefile TARGET=ecm3531 test".  This will create the executable tensorflow/lite/experimental/micro/tools/make/gen/ecm3531_cortex-m3/bin/micro_speech_test.
+
+6. Connect the board to the host computer, start PuTTY (Connection type = Serial, Speed = 11520, Data bits = 8, Stop bits = 1,  Parity = None), and load the executable with ocd.  A sample script for loading the image is provided in tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/load_program.  
+
+The following  will be printed on the Uart:
+
+Testing TestInvoke
+Ran successfully
+
+/ tests passed
+~~~ALL TESTS PASSED~~~
+
+
+
+CONTACT INFORMATION:
+
+Contact info@etacompute.com  for more information on obtaining the Eta Compute SDK and evalution board.

tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/_main.c

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+/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+/* This is file contains the entry point to the application and is called after
+   startup.
+   The GPIOs, Uart and timer are intialized and Tensorflow is invoked with the
+   call to main().
+   Tensorflow will print out if the tests have passed or failed and the
+   execution time is also
+   printed. */
+
+#include <inttypes.h>
+#include <stdint.h>
+#include <stdio.h>
+#include <string.h>
+#include "eta_bsp.h"
+#include "eta_chip.h"
+#include "eta_csp.h"
+#include "eta_csp_buck.h"
+#include "eta_csp_gpio.h"
+#include "eta_csp_io.h"
+#include "eta_csp_pwr.h"
+#include "eta_csp_rtc.h"
+#include "eta_csp_socctrl.h"
+#include "eta_csp_sys_clock.h"
+#include "eta_csp_timer.h"
+#include "eta_csp_uart.h"
+
+tUart g_sUart0 = {eUartNum0, eUartBaud115200};
+tUart g_sUart1 = {eUartNum1, eUartBaud115200};
+
+int init_main(int);
+void EtaPrintExecutionTime(uint64_t);
+
+//*****************************************************************************
+//
+// The entry point for the application.
+//
+//*****************************************************************************
+extern int main(int argc, char** argv);
+
+void DebugLog(const char* s) { EtaCspIoPrintf("%s", s); }
+void DebugLogInt32(int32_t i) { EtaCspIoPrintf("%d", i); }
+void DebugLogUInt32(uint32_t i) { EtaCspIoPrintf("%d", i); }
+void DebugLogHex(uint32_t i) { EtaCspIoPrintf("0x%8x", i); }
+void DebugLogFloat(float i) { EtaCspIoPrintf("%f", i); }
+
+int _main(void) {
+  uint64_t time_ms;
+
+  EtaCspInit();      // initialize csp registers
+  EtaCspGpioInit();  // initialize gpios
+  EtaCspUartInit(&g_sUart1, eUartNum0, eUartBaud115200,
+                 eUartFlowControlHardware);  // initialize Uart
+  EtaCspBuckInit(ETA_BSP_VDD_IO_SETTING, eBuckAo600Mv, eBuckM3Frequency60Mhz,
+                 eBuckMemVoltage900Mv);  // set M3 freq
+  EtaCspTimerInitMs();                   // start timer
+  main(0, NULL);  // Call to Tensorflow; this will print if test was successful.
+  time_ms = EtaCspTimerCountGetMs();  // read time
+  EtaPrintExecutionTime(time_ms);     // print execution time
+}
+
+void EtaPrintExecutionTime(uint64_t time_ms) {
+  uint8_t c;
+  int k1;
+  char time_string[] = "00000";
+
+  EtaCspIoPrintf("Execution time (msec) = ");
+  if (time_ms < 100000)  // Convert time to a string
+  {
+    for (k1 = 0; k1 < 5; k1++) {
+      c = time_ms % 10;
+      time_ms = time_ms / 10;
+      time_string[k1] = (char)(0x30 + c);
+    }
+    for (k1 = 4; k1 > 0; k1--) {  // print out 1 char at a time
+      EtaCspUartPutc(&g_sUart1, time_string[k1]);
+    }
+  } else {
+    EtaCspIoPrintf("Execution time exceeds 100 sec\n");
+  }
+  EtaCspIoPrintf("\n\n");
+}

tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/ecm3531.lds

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+/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+
+/*
+ * linker script for use with ECM3531
+ * All sections must map to 128KBytes of SRAM beginning at 0x10000000
+ *
+ */
+
+ /*
+  * Indicate to the linker the entry point.
+  */
+ENTRY(ResetISR)
+
+/*
+ *   SRAM is at 0x10000000 of length 0x00020000
+ */
+MEMORY
+{
+    SRAM (RWX) : ORIGIN = 0x10000000, LENGTH = 0x00020000
+}
+
+SECTIONS
+{
+    .text :
+    {
+        _text = .;
+        KEEP(*(.vectors))
+        . = ALIGN(0x4);
+        *(.text*)
+        . = ALIGN(0x4);
+        *(.rodata*)
+        . = ALIGN(0x4);
+        _etext = .;
+    } > SRAM= 0
+    .dummy :
+    {
+        . = ALIGN(0x4);
+        _eftext = .;
+    } > SRAM
+    .datax :
+    {
+        _datax = .;
+        KEEP(*(.mainStack))
+        . += 12288;
+        _edatax = .;
+        _stack_top = .;
+        . += 4;
+    } > SRAM
+    .data :
+       AT (ADDR(.text) + SIZEOF(.text) ) 
+    {
+        _data = .;
+        *(.data*)
+        KEEP(*(.mainHeap))
+        _edata = .;
+    } > SRAM
+
+    .bss :
+    {
+        _bss = .;
+        *(.bss*)
+        *(COMMON)
+        _ebss = .;
+    } > SRAM
+    .ARM.exidx :
+    {
+       *(.ARM.exidx*)
+    }
+
+}
+

tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/load_program

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+#!/usr/bin/python3
+#Usage: cd to the directory  tensorflow/lite/experimental/micro/tools/make/targets/ecm3531 and type ./load_prgram to load the executable tensorflow/lite/experimental/micro/tools/make/gen/ecm3531_cortex-m3/bin/micro_speech_test into SRAM
+#
+#
+# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
+#
+#Licensed under the Apache License, Version 2.0 (the "License");
+#you may not use this file except in compliance with the License.
+#You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#Unless required by applicable law or agreed to in writing, software
+#distributed under the License is distributed on an "AS IS" BASIS,
+#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#See the License for the specific language governing permissions and
+#limitations under the License.
+#==============================================================================
+
+
+import os
+import telnetlib
+
+def send_ocd_cmd(line):
+    ocd_sock.write(bytes(line,encoding = 'utf-8'))
+    print(ocd_sock.read_until(b'> ').decode('utf-8'), end='')
+
+def get_ocd_response():
+    print(ocd_sock.read_until(b'> ').decode('utf-8'), end='')
+
+#get hooked up to openocd daemon
+ocd_sock = telnetlib.Telnet(host='localhost', port=4444)
+get_ocd_response() # clean it out
+
+# git path to project elf file
+cur_dir = os.getcwd()
+elf_file = cur_dir + '/../../gen/ecm3531_cortex-m3/bin/' + 'micro_speech_test'
+print("elf_file = ",elf_file)
+
+
+# use these to download and run the elf fle
+ocd_commands = ["halt\n",
+                "load_image {}\n".format(elf_file),
+                "mww 0x1001FFF8 0xDEADBEEF\n",
+                "mww 0x1001FFFC 0xC369A517\n",
+                "reset\n"]
+
+# OK now do what we came here for!!!
+for x in ocd_commands: 
+    print(x)
+    send_ocd_cmd(x)
+
+