diff --git a/master/doctrees/environment.pickle b/master/doctrees/environment.pickle
index 2ae411f..3bb5bd5 100644
Binary files a/master/doctrees/environment.pickle and b/master/doctrees/environment.pickle differ
diff --git a/master/doctrees/quickstart/installation.doctree b/master/doctrees/quickstart/installation.doctree
index 38c473e..03a46b6 100644
Binary files a/master/doctrees/quickstart/installation.doctree and b/master/doctrees/quickstart/installation.doctree differ
diff --git a/master/html/_sources/quickstart/installation.md.txt b/master/html/_sources/quickstart/installation.md.txt
index 4d1c948..f3cbd6a 100644
--- a/master/html/_sources/quickstart/installation.md.txt
+++ b/master/html/_sources/quickstart/installation.md.txt
@@ -7,7 +7,7 @@
 |Windows|7/10/11|编译和运行MindSpore的操作系统|
 |{ref}`Python <install-python>`|3.8|MindSpore的使用依赖Python环境|
 |{ref}`MindSpore <install-mindspore>`|2.3.1|MindRadar依赖的底层框架|
-|{ref}`MindRadar <install-mindradar>`|0.0.1|数字信号处理套件|
+|{ref}`MindRadar <install-mindradar>`|0.0.0|数字信号处理套件|
 |{ref}`arm-linux-gnueabihf <toolchain>`|7.5.0|用于编译MindSpore Signal+ C++ 应用的编译器|
 |{ref}`YHFT-IDE <install-yhft-ide>`|0.0.1|集成开发环境|
 |{ref}`CMake <install-cmake>`|3.30.5|强大的软件构建系统|
@@ -73,7 +73,7 @@ conda activate mindspore_py38
 通过`pip install mindspore-xxx-win_amd64.whl`命令安装MindSpore。验证是否成功安装，执行以下命令：
 
 ```bash
-python -c "import mindspore;mindspore.set_device(device_target='CPU');mindspore.run_check()"
+python -c "import mindspore;mindspore.set_context(device_target='CPU');mindspore.run_check()"
 ```
 
 如果输出：
diff --git a/master/html/quickstart/installation.html b/master/html/quickstart/installation.html
index dcd3a68..6ce1886 100644
--- a/master/html/quickstart/installation.html
+++ b/master/html/quickstart/installation.html
@@ -119,7 +119,7 @@
 <td><p>MindRadar依赖的底层框架</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#install-mindradar"><span class="std std-ref">MindRadar</span></a></p></td>
-<td><p>0.0.1</p></td>
+<td><p>0.0.0</p></td>
 <td><p>数字信号处理套件</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="#toolchain"><span class="std std-ref">arm-linux-gnueabihf</span></a></p></td>
@@ -196,7 +196,7 @@ conda<span class="w"> </span>activate<span class="w"> </span>mindspore_py38
 <section id="mindspore">
 <span id="install-mindspore"></span><h3>安装MindSpore<a class="headerlink" href="#mindspore" title="此标题的永久链接"></a></h3>
 <p>通过<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">mindspore-xxx-win_amd64.whl</span></code>命令安装MindSpore。验证是否成功安装，执行以下命令：</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import mindspore;mindspore.set_device(device_target=&#39;CPU&#39;);mindspore.run_check()&quot;</span>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import mindspore;mindspore.set_context(device_target=&#39;CPU&#39;);mindspore.run_check()&quot;</span>
 </pre></div>
 </div>
 <p>如果输出：</p>
diff --git a/master/html/searchindex.js b/master/html/searchindex.js
index 5147622..07cbc42 100644
--- a/master/html/searchindex.js
+++ b/master/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["appdevelop/ai_dsp/gray_cnn", "appdevelop/ai_dsp/index", "appdevelop/autocodegen/index", "appdevelop/dsp/index", "appdevelop/dsp/rdsar", "appdevelop/index", "functionlib/custom_op/index", "functionlib/dsplib/add", "functionlib/dsplib/dsplib_index", "functionlib/dsplib/equal", "functionlib/dsplib/fft_with_size", "functionlib/dsplib/log10", "functionlib/index", "functionlib/supported_op", "index", "quickstart/hellodsp", "quickstart/index", "quickstart/installation", "quickstart/overview", "refdoc/index", "refdoc/mindspore", "refdoc/signal_scheduling"], "filenames": ["appdevelop/ai_dsp/gray_cnn.rst", "appdevelop/ai_dsp/index.rst", "appdevelop/autocodegen/index.rst", "appdevelop/dsp/index.rst", "appdevelop/dsp/rdsar.md", "appdevelop/index.rst", "functionlib/custom_op/index.rst", "functionlib/dsplib/add.rst", "functionlib/dsplib/dsplib_index.rst", "functionlib/dsplib/equal.rst", "functionlib/dsplib/fft_with_size.rst", "functionlib/dsplib/log10.rst", "functionlib/index.rst", "functionlib/supported_op.md", "index.rst", "quickstart/hellodsp.md", "quickstart/index.rst", "quickstart/installation.md", "quickstart/overview.md", "refdoc/index.rst", "refdoc/mindspore.md", "refdoc/signal_scheduling.md"], "titles": ["GRAY_CNN(\u56fe\u7247\u7070\u5ea6\u5316\u5904\u7406+\u56fe\u7247\u8bc6\u522b)", "AI+DSP\u5e94\u7528\u793a\u4f8b", "AI\u8f85\u52a9\u5f00\u53d1\u793a\u4f8b", "DSP\u5e94\u7528\u793a\u4f8b", "RDSAR\uff08\u8ddd\u79bb-\u591a\u666e\u52d2SAR\u6210\u50cf\u7b97\u6cd5\uff09", "\u5e94\u7528\u5f00\u53d1\u793a\u4f8b", "\u81ea\u5b9a\u4e49\u7b97\u5b50\u5217\u8868", "Add", "DSP Library C API Reference", "Equal", "FFTWithSize", "Log10", "\u7b97\u5b50\u5e93\u652f\u6301", "\u7b97\u5b50\u5e93\u652f\u6301\u60c5\u51b5", "MindSpore Signal+ \u4f7f\u7528\u624b\u518c", "HelloDSP", "\u5feb\u901f\u5165\u95e8", "\u73af\u5883\u5b89\u88c5", "\u6574\u4f53\u6982\u89c8", "\u53c2\u8003\u8d44\u6599", "\u5b98\u65b9\u8d44\u6599", "MindSpore Signal+ \u8c03\u5ea6\u65b9\u6848"], "terms": {"ai": [0, 5, 14], "dsp": [0, 5, 12, 13, 14], "cnn": 0, "114": 0, "587": 0, "299": 0, "gray": 0, "time": 0, "clip": [0, 13], "255": 0, "import": [0, 4, 15, 17], "mindspor": [0, 10, 13, 19, 20], "as": [0, 4, 15], "ms": [0, 4, 15], "from": [0, 4, 15, 17], "train": 0, "serial": 0, "export": [0, 4, 15], "numpi": [0, 4, 15], "np": [0, 4, 15], "nn": [0, 4, 15], "ops": [0, 4, 10, 15], "class": [0, 4, 10, 15], "cell": [0, 4, 15], "def": [0, 4, 15], "__init__": [0, 4, 15], "self": [0, 4, 15], "super": [0, 4, 15], "split": [0, 13], "axi": [0, 4], "output_num": 0, "construct": [0, 4, 15], "squeez": [0, 13], "clip_by_valu": 0, "return": [0, 4, 7, 9, 11, 15], "conv2d": 0, "32": [0, 17], "relu": 0, "maxpool2d": 0, "64": [0, 17], "128": 0, "flatten": [0, 13], "32768": 0, "dens": 0, "conv1": 0, "kernel_s": 0, "has_bia": 0, "true": [0, 4, 9, 10], "pool1": 0, "stride": 0, "conv2": 0, "pool2": 0, "conv3": 0, "pool3": 0, "dense1": 0, "dense2": 0, "target": 0, "graphcel": 0, "save_checkpoint": 0, "ckpt": 0, "load_checkpoint": 0, "10": [0, 11, 17], "context": [0, 15], "pil": 0, "imag": [0, 4], "dataset": 0, "ds": 0, "py_transform": 0, "vision": 0, "cv": 0, "callback": 0, "lossmonitor": 0, "batch_siz": 0, "img_siz": 0, "data_path": 0, "rescale_to_0_1": 0, "color": 0, "add_channel": 0, "if": [0, 9], "len": [0, 10], "shape": [0, 4, 10, 13, 15], "cin_channel": 0, "image_four_channel": 0, "expand_dim": 0, "els": 0, "pass": 0, "export_cnn": 0, "set_context": 0, "mode": 0, "pynative_mod": 0, "device_target": [0, 17], "cpu": [0, 13, 15, 17], "resize_op": 0, "resiz": [0, 13], "rescale_transform": 0, "transform": 0, "compos": 0, "f32_typecast": 0, "typecast": 0, "float32": [0, 4, 10, 15], "rgb": 0, "convert_gray": 0, "convertcolor": 0, "convertmod": 0, "color_rgb2gray": 0, "hwc2chw": 0, "train_data": 0, "imagefolderdataset": 0, "dataset_dir": 0, "decod": 0, "extens": 0, "jpeg": 0, "png": 0, "jpg": [0, 4], "map": 0, "input_column": 0, "oper": 0, "lambda": 0, "output_column": 0, "batch": [0, 10], "data_it": 0, "create_dict_iter": 0, "print": [0, 4, 15], "my_model": 0, "loss": 0, "crossentropyloss": 0, "reduct": 0, "mean": 0, "optim": 0, "adam": [0, 13], "trainable_param": 0, "learning_r": 0, "01": 0, "cnn_model": 0, "model": [0, 4, 15], "loss_fn": 0, "metric": 0, "accuraci": 0, "num_epoch": 0, "dataset_sink_mod": 0, "fals": [0, 4, 9, 10], "input": [0, 4, 9, 11, 15], "tensor": [0, 4, 7, 10, 15], "random": 0, "randn": 0, "astyp": 0, "file_nam": [0, 4, 15], "file_format": [0, 4, 15], "mindir": [0, 4, 15], "cv2": 0, "export_gray": 0, "connect": 0, "export_connect": 0, "class_nam": 0, "brdm_2": 0, "btr_60": 0, "slici": 0, "t62": 0, "zsu_23_4": 0, "class_label": 0, "graycnn": 0, "load": 0, "reshap": [0, 13], "__name__": 0, "__main__": 0, "graph_mod": 0, "uint8": [0, 10, 13], "color_imag": 0, "imread": 0, "image_origin": 0, "resized_imag": 0, "width": 0, "height": 0, "interpol": 0, "inter_linear": 0, "resized_image_tensor": 0, "param_dict": 0, "param_not_load": 0, "load_param_into_net": 0, "strict_load": 0, "input_tensor": 0, "one": [0, 15], "dtype": [0, 4, 15], "reload_cnn": 0, "predict": [0, 15], "output_np": 0, "asnumpi": 0, "num_class": 0, "output_prob": 0, "exp": [0, 4], "sum": 0, "keepdim": 0, "predicted_class": 0, "argmax": 0, "ft78ne": [0, 9, 15], "lite": [0, 4, 13, 20], "converter_lit": 0, "yhft": [0, 4, 15], "ide": [0, 4, 15], "fmk": 0, "modelfil": 0, "outputfil": 0, "netron": 0, "https": [0, 17], "app": 0, "midir": 0, "heterogen": [0, 15], "data_handl": [0, 15], "cc": 0, "main": [0, 7, 9, 11], "cmakelist": [0, 15], "txt": [0, 15, 17], "opencv": 0, "lib": 0, "includ": [0, 7, 9, 11], "build": [0, 15], "opencv2": 0, "hpp": 0, "int": [0, 7, 9, 10, 11], "readimag": 0, "float": [0, 9, 11], "reslut": 0, "std": [0, 15], "string": 0, "imagepath": 0, "mat": [0, 4], "c_str": 0, "imread_color": 0, "empti": 0, "fprintf": 0, "stderr": 0, "read": 0, "fail": 0, "size": [0, 4, 13], "convertto": 0, "cv_32f": 0, "const": [0, 15], "channel": 0, "element_count": 0, "for": [0, 17], "src_ptr": 0, "ptr": 0, "dst_ptr": 0, "memcpi": 0, "sizeof": 0, "auto": 0, "make_shar": 0, "device_list": 0, "mutabledeviceinfo": [0, 15], "setbuiltindeleg": 0, "delegatemod": 0, "kpnna": 0, "cpu_info": 0, "cpudeviceinfo": 0, "dsp_info": 0, "ft78nedeviceinfo": 0, "push_back": 0, "vector": [0, 15], "floatarraytovector": 0, "array": [0, 4], "size_t": [0, 15], "vec": 0, "numpy_exp": 0, "result": [0, 4, 17], "reserv": 0, "num": 0, "sum_row": 0, "accumul": 0, "begin": [0, 9], "end": [0, 9], "convertto2d": 0, "row": 0, "col": 0, "index": 0, "void": [0, 9, 11, 15], "getoutputdata": [0, 15], "mstensor": [0, 15], "output": [0, 9, 11, 15], "cout": 0, "name": 0, "is": [0, 17], "datas": 0, "element": 0, "elementnum": 0, "endl": 0, "out_data": 0, "reinterpret_cast": 0, "data": [0, 4], "get": 0, "50": [0, 4], "out": [0, 15], "exp_x": 0, "x1": [0, 15], "twod": 0, "argmax_indic": 0, "py": [0, 15], "defin": 0, "directori": 0, "and": 0, "paramet": [0, 4], "sar": [0, 3], "befor": 0, "128x128": 0, "after": 0, "gray_cnn": 1, "rdsar": 3, "rang": [4, 13], "doppler": 4, "rd": 4, "2023": 4, "11": [4, 17], "18": 4, "20": 4, "47": 4, "close": 4, "all": [4, 13], "1536": 4, "2048": 4, "complex": 4, "int8": [4, 9, 10, 13], "echo1": 4, "importdata": 4, "cddata1": 4, "echo2": 4, "cddata2": 4, "3072": 4, "echo": 4, "doubl": [4, 9], "para": 4, "cd_run_param": 4, "fr": 4, "fa": 4, "prf": 4, "f0": 4, "tr": 4, "r0": 4, "kr": 4, "vr": 4, "7062": 4, "ka": 4, "1733": 4, "f_nc": 4, "6900": 4, "lamda": 4, "na": 4, "nr": 4, "4096": 4, "3414": 4, "padarray": 4, "round": [4, 13], "tr_axi": 4, "fr_gap": 4, "fr_axi": 4, "fftshift": [4, 13], "ta_axi": 4, "ta_gap": 4, "fa_axi": 4, "fft": [4, 10, 13], "echo_s1": 4, "echo_d1_mf": 4, "1i": 4, "pi": [4, 10], "ifft": [4, 10, 13], "2i": 4, "echo_s2": 4, "4i": 4, "echo_d3_mf": 4, "echo_s3": 4, "echo_s4": 4, "circshift": 4, "abs": [4, 13], "3328": 4, "flipud": 4, "echo_s5": 4, "satur": 4, "figur": 4, "imagesc": 4, "titl": 4, "echo_r": 4, "gather": [4, 13], "adapthisteq": 4, "cliplimit": 4, "004": 4, "distribut": 4, "exponenti": 4, "alpha": 4, "imshow": 4, "python": 4, "loadmat": 4, "scipi": 4, "io": 4, "step": 4, "sio": 4, "append": 4, "pip": [4, 17], "instal": [4, 17], "echo_shap": 4, "api": [4, 10, 12, 14], "mr": 4, "dim": 4, "fft1": 4, "ifft1": 4, "temp": 4, "temp1": 4, "temp2": 4, "temp3": 4, "cast": [4, 13], "complex64": [4, 10], "sq_fr_axi": 4, "pad": 4, "new_shap": 4, "constant": 4, "constant_valu": 4, "1j": 4, "2j": 4, "4j": 4, "matplotlib": 4, "pyplot": 4, "plt": 4, "show": 4, "pcolor": 4, "savefig": 4, "v3": 4, "mindradar": 4, "arang": 4, "matmul": [4, 15], "complexab": [4, 13, 17], "unsqueez": [4, 13], "squar": [4, 13], "sq_fa_axi": 4, "multipli": 4, "roll": 4, "shift": 4, "flip": 4, "saturation_tensor": 4, "full": 4, "where": [4, 13], "rdsarv3": 4, "hellodsp": [4, 14, 16], "matio": 4, "cs": 4, "sar_imaging_with_rd_cs_wk": 4, "my_c_add_anycor": 7, "param1": 7, "param2": 7, "gsm": 7, "ddr": [7, 9, 11], "smc": 7, "stdio": [7, 9, 11], "argc": [7, 9, 11], "char": [7, 9, 11], "argv": [7, 9, 11], "my_c_add": 7, "my_c_add_1cor": 7, "add": [8, 12, 17], "equal": [8, 12, 13], "fftwithsiz": [8, 12], "log10": [8, 12], "i8_equal_": 9, "int8_t": 9, "input0": 9, "input1": [9, 11], "bool": [9, 10, 13], "length": 9, "core_mask": 9, "i16_equal_": 9, "int16_t": 9, "i32_equal_": 9, "hp_equal_": 9, "half": 9, "fp_equal_": 9, "dp_equal_": 9, "c64_equal_": 9, "c128_equal_": 9, "output_i": [9, 11], "case": 9, "text": 9, "input0_i": 9, "input1_i": [9, 11], "neq": 9, "mt7004": [9, 11], "int16": [9, 10, 13], "int32": [9, 10, 13], "fp32": [9, 11, 13], "fp64": [9, 13], "cplx64": [9, 13], "cplx128": [9, 13], "fp16": [9, 13], "0xa0000000": 9, "0xb0000000": 9, "0xc0000000": 9, "1000": [9, 11], "0xff": 9, "fp_equal_p": 9, "i8_equal_p": 9, "i16_equal_p": 9, "i32_equal_p": 9, "int32_t": 9, "hp_equal_p": 9, "dp_equal_p": 9, "c64_equal_p": 9, "c128_equal_p": 9, "0x10000000": 9, "l2": 9, "0x10001000": 9, "signal_ndim": 10, "invers": 10, "real": 10, "norm": 10, "backward": 10, "onesid": 10, "signal_s": 10, "rfft": 10, "irfft": 10, "omega_1": 10, "dot": 10, "omega_d": 10, "sum_": 10, "n_1": 10, "n_d": 10, "frac": 10, "omega_i": 10, "n_i": 10, "prod_": 10, "complex128": 10, "int64": 10, "float64": 10, "str": 10, "forward": 10, "ortho": 10, "sqrt": [10, 13], "tupl": 10, "signal": [10, 15, 17, 19], "_size": 10, "_ndim": 10, "typeerror": 10, "irff": 10, "valueerror": 10, "fp_log10_": 11, "mask": 11, "log_": 11, "0x100000000": 11, "0x100001000": 11, "0xf": 11, "librari": [12, 14], "refer": [12, 14], "7004": 13, "6678e": 13, "absgrad": 13, "activ": [13, 17], "activationgrad": 13, "addfus": 13, "adderfus": 13, "addgrad": 13, "addn": 13, "affin": 13, "allgath": 13, "applymomentum": 13, "assert": 13, "assign": 13, "argmaxfus": 13, "argminfus": 13, "avgpoolfus": 13, "avgpoolgrad": 13, "batchnorm": 13, "batchnormgrad": 13, "batchtospac": 13, "batchtospacend": 13, "biasadd": 13, "biasaddgrad": 13, "binarycrossentropi": 13, "binarycrossentropygrad": 13, "broadcastto": 13, "call": 13, "ceil": 13, "concat": 13, "constantofshap": 13, "conv2dfus": 13, "conv2dbackpropfilterfus": 13, "conv2dbackpropinputfus": 13, "conv2dtransposefus": 13, "cos": 13, "crop": 13, "cropandres": 13, "cumsum": 13, "customextractfeatur": 13, "customnorm": 13, "custompredict": 13, "deconv2dgradfilt": 13, "depthtospac": 13, "detectionpostprocess": 13, "divfus": 13, "divgrad": 13, "dropout": 13, "dropoutgrad": 13, "dynamicqu": 13, "eltwis": 13, "elu": 13, "embeddinglookupfus": 13, "erf": 13, "expfus": 13, "expanddim": 13, "fill": 13, "flattengrad": 13, "floor": 13, "floordiv": 13, "floormod": 13, "fullconnect": 13, "fusedbatchnorm": 13, "gathernd": 13, "gatherd": 13, "glu": 13, "greater": 13, "greaterequ": 13, "groupnormfus": 13, "gru": 13, "hashtablelookup": 13, "instancenorm": 13, "invertpermut": 13, "isfinit": 13, "l2normalizefus": 13, "layernormfus": 13, "layernormgrad": 13, "leakyrelu": 13, "less": 13, "lessequ": 13, "lrn": 13, "log": 13, "log1p": 13, "loggrad": 13, "logicaland": 13, "logicalnot": 13, "logicalor": 13, "logsoftmax": 13, "lshproject": 13, "lstm": 13, "lstmgrad": 13, "lstmgraddata": 13, "lstmgradweight": 13, "matmulfus": 13, "maximum": 13, "maximumgrad": 13, "maxpoolfus": 13, "maxpoolgrad": 13, "merg": 13, "minimum": 13, "minimumgrad": 13, "mod": 13, "mulfus": 13, "mulgrad": 13, "neg": 13, "neggrad": 13, "nllloss": 13, "nlllossgrad": 13, "notequ": 13, "nonmaxsupppress": 13, "nonzero": 13, "onehot": 13, "oneslik": 13, "padfus": 13, "partialfus": 13, "powfus": 13, "powergrad": 13, "priorbox": 13, "prelufus": 13, "quantdtypecast": 13, "raggedrang": 13, "randomnorm": 13, "randomstandardnorm": 13, "rank": 13, "realdiv": 13, "reciproc": 13, "reducefus": 13, "reducescatt": 13, "resizegrad": 13, "reversev2": 13, "reversesequ": 13, "roipool": 13, "rsqrt": 13, "rsqrtgrad": 13, "select": 13, "selu": 13, "scalefus": 13, "scatternd": 13, "scatterndupd": 13, "sgd": 13, "sigmoidcroosentropywithlogit": 13, "sigmoidcroosentropywithlogitsgrad": 13, "sin": 13, "slicefus": 13, "skipgram": 13, "smoothl1loss": 13, "smoothl1lossgrad": 13, "softmax": 13, "softmaxgrad": 13, "softplus": 13, "spacetobatch": 13, "spacetobatchnd": 13, "spacetodepth": 13, "sparsetodens": 13, "sparsesoftmaxcrossentropywithlogit": 13, "splice": 13, "splitwithoverlap": 13, "sqrtgrad": 13, "squareddiffer": 13, "stridedslic": 13, "stridedslicegrad": 13, "stack": 13, "subfus": 13, "subgrad": 13, "switch": 13, "switchlay": 13, "tensorlistfromtensor": 13, "tensorlistgetitem": 13, "tensorlistreserv": 13, "tensorlistsetitem": 13, "tensorliststack": 13, "tensorscatteradd": 13, "tilefus": 13, "topkfus": 13, "transpos": 13, "uniformr": 13, "uniqu": 13, "unsortedsegmentsum": 13, "unstack": 13, "zeroslik": 13, "amzipp": 13, "arcsin": 13, "azimuthfftfftshift": 13, "azimuthifft": 13, "bitrev": 13, "cvmulcv": 13, "cvmulcvifft": 13, "fft_nobitrev": 13, "fft_time": 13, "fourpointinterpolatori": 13, "ifft_nobitrev": 13, "ifft_tim": 13, "phasemul": 13, "rangfft": 13, "revers": 13, "tdpp": 13, "vecatan": 13, "cfar": 13, "test_matmul": 15, "x2": 15, "x1_tensor": 15, "x2_tensor": 15, "2x2": 15, "ir": 15, "convert": 15, "vscode": 15, "arm_toolchain": 15, "cmake": 15, "bat": 15, "arm": [15, 17], "window": [15, 17], "getinputdata": 15, "readfil": 15, "model_buf": 15, "model_data": 15, "data_s": 15, "model_typ": 15, "modetyp": 15, "model_context": 15, "shared_ptr": 15, "getinput": 15, "getoutput": 15, "ip": 15, "ssh": 15, "xxx": [15, 17, 21], "chmod": 15, "linux": 17, "gnueabihf": 17, "30": 17, "python3": 17, "www": 17, "org": 17, "ftp": 17, "amd64": 17, "exe": 17, "custom": 17, "to": 17, "path": 17, "cmd": 17, "version": 17, "x86": 17, "anaconda3": 17, "miniconda3": 17, "anaconda": 17, "promt": 17, "creat": 17, "forg": 17, "mindspore_py38": 17, "win_amd64": 17, "whl": 17, "set_devic": 17, "run_check": 17, "the": 17, "of": 17, "multipl": 17, "calcul": 17, "correct": 17, "has": 17, "been": 17, "on": 17, "platform": 17, "success": 17, "third": 17, "parti": 17, "requir": 17, "py3": 17, "none": 17, "ani": 17, "releas": 17, "linaro": 17, "compon": 17, "toolchain": 17, "binari": 17, "2019": 17, "12": 17, "gcc": 17, "i686": 17, "mingw32_arm": 17, "tar": 17, "xz": 17, "download": 17, "next": 17, "system": 17, "current": 17, "user": 17, "finish": 17, "minsdpor": 20}, "objects": {"": [[9, 0, 1, "c.c128_equal_p", "c128_equal_p"], [9, 0, 1, "c.c128_equal_s", "c128_equal_s"], [9, 0, 1, "c.c64_equal_p", "c64_equal_p"], [9, 0, 1, "c.c64_equal_s", "c64_equal_s"], [9, 0, 1, "c.dp_equal_p", "dp_equal_p"], [9, 0, 1, "c.dp_equal_s", "dp_equal_s"], [9, 0, 1, "c.fp_equal_p", "fp_equal_p"], [9, 0, 1, "c.fp_equal_s", "fp_equal_s"], [11, 0, 1, "c.fp_log10_s", "fp_log10_s"], [9, 0, 1, "c.hp_equal_p", "hp_equal_p"], [9, 0, 1, "c.hp_equal_s", "hp_equal_s"], [9, 0, 1, "c.i16_equal_p", "i16_equal_p"], [9, 0, 1, "c.i16_equal_s", "i16_equal_s"], [9, 0, 1, "c.i32_equal_p", "i32_equal_p"], [9, 0, 1, "c.i32_equal_s", "i32_equal_s"], [9, 0, 1, "c.i8_equal_p", "i8_equal_p"], [9, 0, 1, "c.i8_equal_s", "i8_equal_s"], [7, 0, 1, "c.my_c_add_1core", "my_c_add_1core"], [7, 0, 1, "c.my_c_add_anycore", "my_c_add_anycore"]], "c128_equal_p": [[9, 1, 1, "c.c128_equal_p", "Input0"], [9, 1, 1, "c.c128_equal_p", "Input1"], [9, 1, 1, "c.c128_equal_p", "length"], [9, 1, 1, "c.c128_equal_p", "output"]], "c128_equal_s": [[9, 1, 1, "c.c128_equal_s", "Input0"], [9, 1, 1, "c.c128_equal_s", "Input1"], [9, 1, 1, "c.c128_equal_s", "core_mask"], [9, 1, 1, "c.c128_equal_s", "length"], [9, 1, 1, "c.c128_equal_s", "output"]], "c64_equal_p": [[9, 1, 1, "c.c64_equal_p", "Input0"], [9, 1, 1, "c.c64_equal_p", "Input1"], [9, 1, 1, "c.c64_equal_p", "length"], [9, 1, 1, "c.c64_equal_p", "output"]], "c64_equal_s": [[9, 1, 1, "c.c64_equal_s", "Input0"], [9, 1, 1, "c.c64_equal_s", "Input1"], [9, 1, 1, "c.c64_equal_s", "core_mask"], [9, 1, 1, "c.c64_equal_s", "length"], [9, 1, 1, "c.c64_equal_s", "output"]], "dp_equal_p": [[9, 1, 1, "c.dp_equal_p", "Input0"], [9, 1, 1, "c.dp_equal_p", "Input1"], [9, 1, 1, "c.dp_equal_p", "length"], [9, 1, 1, "c.dp_equal_p", "output"]], "dp_equal_s": [[9, 1, 1, "c.dp_equal_s", "Input0"], [9, 1, 1, "c.dp_equal_s", "Input1"], [9, 1, 1, "c.dp_equal_s", "core_mask"], [9, 1, 1, "c.dp_equal_s", "length"], [9, 1, 1, "c.dp_equal_s", "output"]], "fp_equal_p": [[9, 1, 1, "c.fp_equal_p", "Input0"], [9, 1, 1, "c.fp_equal_p", "Input1"], [9, 1, 1, "c.fp_equal_p", "length"], [9, 1, 1, "c.fp_equal_p", "output"]], "fp_equal_s": [[9, 1, 1, "c.fp_equal_s", "Input0"], [9, 1, 1, "c.fp_equal_s", "Input1"], [9, 1, 1, "c.fp_equal_s", "core_mask"], [9, 1, 1, "c.fp_equal_s", "length"], [9, 1, 1, "c.fp_equal_s", "output"]], "fp_log10_s": [[11, 1, 1, "c.fp_log10_s", "input1"], [11, 1, 1, "c.fp_log10_s", "mask"], [11, 1, 1, "c.fp_log10_s", "n"], [11, 1, 1, "c.fp_log10_s", "output"]], "hp_equal_p": [[9, 1, 1, "c.hp_equal_p", "Input0"], [9, 1, 1, "c.hp_equal_p", "Input1"], [9, 1, 1, "c.hp_equal_p", "length"], [9, 1, 1, "c.hp_equal_p", "output"]], "hp_equal_s": [[9, 1, 1, "c.hp_equal_s", "Input0"], [9, 1, 1, "c.hp_equal_s", "Input1"], [9, 1, 1, "c.hp_equal_s", "core_mask"], [9, 1, 1, "c.hp_equal_s", "length"], [9, 1, 1, "c.hp_equal_s", "output"]], "i16_equal_p": [[9, 1, 1, "c.i16_equal_p", "Input0"], [9, 1, 1, "c.i16_equal_p", "Input1"], [9, 1, 1, "c.i16_equal_p", "length"], [9, 1, 1, "c.i16_equal_p", "output"]], "i16_equal_s": [[9, 1, 1, "c.i16_equal_s", "Input0"], [9, 1, 1, "c.i16_equal_s", "Input1"], [9, 1, 1, "c.i16_equal_s", "core_mask"], [9, 1, 1, "c.i16_equal_s", "length"], [9, 1, 1, "c.i16_equal_s", "output"]], "i32_equal_p": [[9, 1, 1, "c.i32_equal_p", "Input0"], [9, 1, 1, "c.i32_equal_p", "Input1"], [9, 1, 1, "c.i32_equal_p", "length"], [9, 1, 1, "c.i32_equal_p", "output"]], "i32_equal_s": [[9, 1, 1, "c.i32_equal_s", "Input0"], [9, 1, 1, "c.i32_equal_s", "Input1"], [9, 1, 1, "c.i32_equal_s", "core_mask"], [9, 1, 1, "c.i32_equal_s", "length"], [9, 1, 1, "c.i32_equal_s", "output"]], "i8_equal_p": [[9, 1, 1, "c.i8_equal_p", "Input0"], [9, 1, 1, "c.i8_equal_p", "Input1"], [9, 1, 1, "c.i8_equal_p", "length"], [9, 1, 1, "c.i8_equal_p", "output"]], "i8_equal_s": [[9, 1, 1, "c.i8_equal_s", "Input0"], [9, 1, 1, "c.i8_equal_s", "Input1"], [9, 1, 1, "c.i8_equal_s", "core_mask"], [9, 1, 1, "c.i8_equal_s", "length"], [9, 1, 1, "c.i8_equal_s", "output"]], "my_c_add_1core": [[7, 1, 1, "c.my_c_add_1core", "param1"], [7, 1, 1, "c.my_c_add_1core", "param2"]], "my_c_add_anycore": [[7, 1, 1, "c.my_c_add_anycore", "param1"], [7, 1, 1, "c.my_c_add_anycore", "param2"]], "mindspore.ops": [[10, 2, 1, "", "FFTWithSize"]]}, "objtypes": {"0": "c:function", "1": "c:functionParam", "2": "py:class"}, "objnames": {"0": ["c", "function", "C \u51fd\u6570"], "1": ["c", "functionParam", "C \u51fd\u6570\u53c2\u6570"], "2": ["py", "class", "Python \u7c7b"]}, "titleterms": {"gray_cnn": 0, "python": [0, 15, 17], "ai": [1, 2], "dsp": [1, 3, 8], "rdsar": 4, "sar": 4, "matlab": 4, "mindspor": [4, 14, 15, 17, 21], "signal": [4, 14, 21], "add": 7, "librari": 8, "api": 8, "refer": 8, "equal": 9, "fftwithsiz": 10, "log10": 11, "hellodsp": 15, "lite": 15, "main": 15, "cc": 15, "mt7004": 15, "radar": 17, "conda": 17, "mindradar": 17, "yhft": 17, "ide": 17, "cmake": 17, "netron": 17}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx": 58}, "alltitles": {"GRAY_CNN(\u56fe\u7247\u7070\u5ea6\u5316\u5904\u7406+\u56fe\u7247\u8bc6\u522b)": [[0, "gray-cnn"]], "\u5e94\u7528\u6982\u8ff0": [[0, "id1"]], "\u5f00\u53d1\u6d41\u7a0b": [[0, "id2"]], "1. \u5b9a\u4e49\u6a21\u578b": [[0, "id3"]], "2. \u6a21\u578b\u8bad\u7ec3": [[0, "model-training"]], "3. \u91cd\u65b0\u7ec4\u7f51": [[0, "id5"]], "4. \u8f6c\u6362\u6a21\u578b": [[0, "id6"]], "5. \u90e8\u7f72\u548c\u8fd0\u884c\u7a0b\u5e8f": [[0, "id7"]], "python\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b": [[0, "python"]], "AI+DSP\u5e94\u7528\u793a\u4f8b": [[1, "ai-dsp"]], "AI\u8f85\u52a9\u5f00\u53d1\u793a\u4f8b": [[2, "ai"]], "DSP\u5e94\u7528\u793a\u4f8b": [[3, "dsp"]], "RDSAR\uff08\u8ddd\u79bb-\u591a\u666e\u52d2SAR\u6210\u50cf\u7b97\u6cd5\uff09": [[4, "rdsar-sar"]], "\u7b97\u6cd5\u6982\u8ff0": [[4, "id1"]], "MATLAB \u5b9e\u73b0": [[4, "matlab"]], "MindSpore Signal+ \u5b9e\u73b0": [[4, "mindspore-signal"]], "1. \u6570\u636e\u8bfb\u53d6": [[4, "id2"]], "2. \u6570\u636e\u9884\u5904\u7406": [[4, "id3"]], "3. \u6838\u5fc3\u8ba1\u7b97": [[4, "id4"]], "4. \u6570\u636e\u540e\u5904\u7406": [[4, "id5"]], "\u677f\u5361\u90e8\u7f72": [[4, "id6"]], "\u53c2\u8003\u4e0e\u6e90\u7801": [[4, "id7"]], "\u5e94\u7528\u5f00\u53d1\u793a\u4f8b": [[5, "id1"]], "\u81ea\u5b9a\u4e49\u7b97\u5b50\u5217\u8868": [[6, "id1"]], "Add": [[7, "add"]], "DSP Library C API Reference": [[8, "dsp-library-c-api-reference"]], "Equal": [[9, "equal"]], "FFTWithSize": [[10, "fftwithsize"]], "Log10": [[11, "log10"]], "\u7b97\u5b50\u5e93\u652f\u6301": [[12, "id1"]], "\u7b97\u5b50\u5e93\u652f\u6301\u60c5\u51b5": [[13, "id1"]], "MindSpore Signal+ \u4f7f\u7528\u624b\u518c": [[14, "mindspore-signal"]], "HelloDSP": [[15, "hellodsp"]], "1.MindSpore Python\u7aef": [[15, "mindspore-python"]], "1.1 \u65b0\u5efaPython\u6587\u4ef6": [[15, "id1"]], "1.2 \u7f16\u5199Python\u4ee3\u7801": [[15, "id2"]], "1.3 \u8fd0\u884cPython\u4ee3\u7801": [[15, "id3"]], "MindSpore Lite\u7aef": [[15, "mindspore-lite"]], "1. \u65b0\u5efa\u5de5\u7a0b": [[15, "id4"]], "2. \u5de5\u7a0b\u76ee\u5f55\u7ed3\u6784": [[15, "id5"]], "3. \u66f4\u6539\u8f93\u5165\u6570\u636e": [[15, "id6"]], "4. main.cc \u529f\u80fd\u4ecb\u7ecd": [[15, "main-cc"]], "4.1 \u8bfb\u53d6\u6a21\u578b\u6587\u4ef6": [[15, "id7"]], "4.2 \u8bbe\u7f6e\u8fd0\u884c\u540e\u7aef": [[15, "id8"]], "4.3 \u7f16\u8bd1\u6a21\u578b\u56fe": [[15, "id9"]], "4.4 \u83b7\u53d6\u6a21\u578b\u8f93\u5165": [[15, "id10"]], "4.5 \u6267\u884c\u6a21\u578b\u63a8\u7406": [[15, "id11"]], "4.6 \u83b7\u53d6\u6a21\u578b\u7ed3\u679c": [[15, "id12"]], "5. \u7f16\u8bd1\u5de5\u7a0b": [[15, "id13"]], "6. \u8fd0\u884c\u5de5\u7a0b": [[15, "id14"]], "6.1 \u8fde\u63a5 MT7004 \u677f\u5361": [[15, "mt7004"]], "6.2 \u90e8\u7f72\u548c\u8fd0\u884c\u7a0b\u5e8f": [[15, "id15"]], "\u5feb\u901f\u5165\u95e8": [[16, "id1"]], "\u73af\u5883\u5b89\u88c5": [[17, "id1"]], "\u5b89\u88c5MindSpore Radar \u4e0e\u4f9d\u8d56\u8f6f\u4ef6": [[17, "mindspore-radar"]], "\u5b89\u88c5Python": [[17, "python"]], "1.\u5b89\u88c5\u5305\u65b9\u5f0f\u5b89\u88c5": [[17, "id2"]], "1.1 \u4e0b\u8f7d\u5b89\u88c5\u5305": [[17, "id3"]], "1.2 \u5f00\u59cb\u5b89\u88c5": [[17, "id4"]], "1.3 \u9a8c\u8bc1\u5b89\u88c5": [[17, "id5"]], "2.Conda\u65b9\u5f0f\u5b89\u88c5": [[17, "conda"]], "\u521b\u5efa\u5e76\u8fdb\u5165Conda\u865a\u62df\u73af\u5883": [[17, "id6"]], "\u5b89\u88c5MindSpore": [[17, "mindspore"]], "\u5b89\u88c5MindRadar": [[17, "mindradar"]], "\u914d\u7f6e\u4ea4\u53c9\u7f16\u8bd1\u5de5\u5177\u94fe": [[17, "toolchain"]], "\u5b89\u88c5YHFT-IDE": [[17, "yhft-ide"]], "\u5b89\u88c5CMake": [[17, "cmake"]], "\u5b89\u88c5Netron": [[17, "netron"]], "\u6574\u4f53\u6982\u89c8": [[18, "id1"]], "\u53c2\u8003\u8d44\u6599": [[19, "id1"]], "\u5b98\u65b9\u8d44\u6599": [[20, "id1"]], "MindSpore Signal+ \u8c03\u5ea6\u65b9\u6848": [[21, "mindspore-signal"]]}, "indexentries": {"my_c_add_1core\uff08c function\uff09": [[7, "c.my_c_add_1core"]], "my_c_add_anycore\uff08c function\uff09": [[7, "c.my_c_add_anycore"]], "c128_equal_p\uff08c function\uff09": [[9, "c.c128_equal_p"]], "c128_equal_s\uff08c function\uff09": [[9, "c.c128_equal_s"]], "c64_equal_p\uff08c function\uff09": [[9, "c.c64_equal_p"]], "c64_equal_s\uff08c function\uff09": [[9, "c.c64_equal_s"]], "dp_equal_p\uff08c function\uff09": [[9, "c.dp_equal_p"]], "dp_equal_s\uff08c function\uff09": [[9, "c.dp_equal_s"]], "fp_equal_p\uff08c function\uff09": [[9, "c.fp_equal_p"]], "fp_equal_s\uff08c function\uff09": [[9, "c.fp_equal_s"]], "hp_equal_p\uff08c function\uff09": [[9, "c.hp_equal_p"]], "hp_equal_s\uff08c function\uff09": [[9, "c.hp_equal_s"]], "i16_equal_p\uff08c function\uff09": [[9, "c.i16_equal_p"]], "i16_equal_s\uff08c function\uff09": [[9, "c.i16_equal_s"]], "i32_equal_p\uff08c function\uff09": [[9, "c.i32_equal_p"]], "i32_equal_s\uff08c function\uff09": [[9, "c.i32_equal_s"]], "i8_equal_p\uff08c function\uff09": [[9, "c.i8_equal_p"]], "i8_equal_s\uff08c function\uff09": [[9, "c.i8_equal_s"]], "mindspore.ops.fftwithsize\uff08\u5185\u7f6e\u7c7b\uff09": [[10, "mindspore.ops.FFTWithSize"]], "fp_log10_s\uff08c function\uff09": [[11, "c.fp_log10_s"]]}})
\ No newline at end of file
+Search.setIndex({"docnames": ["appdevelop/ai_dsp/gray_cnn", "appdevelop/ai_dsp/index", "appdevelop/autocodegen/index", "appdevelop/dsp/index", "appdevelop/dsp/rdsar", "appdevelop/index", "functionlib/custom_op/index", "functionlib/dsplib/add", "functionlib/dsplib/dsplib_index", "functionlib/dsplib/equal", "functionlib/dsplib/fft_with_size", "functionlib/dsplib/log10", "functionlib/index", "functionlib/supported_op", "index", "quickstart/hellodsp", "quickstart/index", "quickstart/installation", "quickstart/overview", "refdoc/index", "refdoc/mindspore", "refdoc/signal_scheduling"], "filenames": ["appdevelop/ai_dsp/gray_cnn.rst", "appdevelop/ai_dsp/index.rst", "appdevelop/autocodegen/index.rst", "appdevelop/dsp/index.rst", "appdevelop/dsp/rdsar.md", "appdevelop/index.rst", "functionlib/custom_op/index.rst", "functionlib/dsplib/add.rst", "functionlib/dsplib/dsplib_index.rst", "functionlib/dsplib/equal.rst", "functionlib/dsplib/fft_with_size.rst", "functionlib/dsplib/log10.rst", "functionlib/index.rst", "functionlib/supported_op.md", "index.rst", "quickstart/hellodsp.md", "quickstart/index.rst", "quickstart/installation.md", "quickstart/overview.md", "refdoc/index.rst", "refdoc/mindspore.md", "refdoc/signal_scheduling.md"], "titles": ["GRAY_CNN(\u56fe\u7247\u7070\u5ea6\u5316\u5904\u7406+\u56fe\u7247\u8bc6\u522b)", "AI+DSP\u5e94\u7528\u793a\u4f8b", "AI\u8f85\u52a9\u5f00\u53d1\u793a\u4f8b", "DSP\u5e94\u7528\u793a\u4f8b", "RDSAR\uff08\u8ddd\u79bb-\u591a\u666e\u52d2SAR\u6210\u50cf\u7b97\u6cd5\uff09", "\u5e94\u7528\u5f00\u53d1\u793a\u4f8b", "\u81ea\u5b9a\u4e49\u7b97\u5b50\u5217\u8868", "Add", "DSP Library C API Reference", "Equal", "FFTWithSize", "Log10", "\u7b97\u5b50\u5e93\u652f\u6301", "\u7b97\u5b50\u5e93\u652f\u6301\u60c5\u51b5", "MindSpore Signal+ \u4f7f\u7528\u624b\u518c", "HelloDSP", "\u5feb\u901f\u5165\u95e8", "\u73af\u5883\u5b89\u88c5", "\u6574\u4f53\u6982\u89c8", "\u53c2\u8003\u8d44\u6599", "\u5b98\u65b9\u8d44\u6599", "MindSpore Signal+ \u8c03\u5ea6\u65b9\u6848"], "terms": {"ai": [0, 5, 14], "dsp": [0, 5, 12, 13, 14], "cnn": 0, "114": 0, "587": 0, "299": 0, "gray": 0, "time": 0, "clip": [0, 13], "255": 0, "import": [0, 4, 15, 17], "mindspor": [0, 10, 13, 19, 20], "as": [0, 4, 15], "ms": [0, 4, 15], "from": [0, 4, 15, 17], "train": 0, "serial": 0, "export": [0, 4, 15], "numpi": [0, 4, 15], "np": [0, 4, 15], "nn": [0, 4, 15], "ops": [0, 4, 10, 15], "class": [0, 4, 10, 15], "cell": [0, 4, 15], "def": [0, 4, 15], "__init__": [0, 4, 15], "self": [0, 4, 15], "super": [0, 4, 15], "split": [0, 13], "axi": [0, 4], "output_num": 0, "construct": [0, 4, 15], "squeez": [0, 13], "clip_by_valu": 0, "return": [0, 4, 7, 9, 11, 15], "conv2d": 0, "32": [0, 17], "relu": 0, "maxpool2d": 0, "64": [0, 17], "128": 0, "flatten": [0, 13], "32768": 0, "dens": 0, "conv1": 0, "kernel_s": 0, "has_bia": 0, "true": [0, 4, 9, 10], "pool1": 0, "stride": 0, "conv2": 0, "pool2": 0, "conv3": 0, "pool3": 0, "dense1": 0, "dense2": 0, "target": 0, "graphcel": 0, "save_checkpoint": 0, "ckpt": 0, "load_checkpoint": 0, "10": [0, 11, 17], "context": [0, 15], "pil": 0, "imag": [0, 4], "dataset": 0, "ds": 0, "py_transform": 0, "vision": 0, "cv": 0, "callback": 0, "lossmonitor": 0, "batch_siz": 0, "img_siz": 0, "data_path": 0, "rescale_to_0_1": 0, "color": 0, "add_channel": 0, "if": [0, 9], "len": [0, 10], "shape": [0, 4, 10, 13, 15], "cin_channel": 0, "image_four_channel": 0, "expand_dim": 0, "els": 0, "pass": 0, "export_cnn": 0, "set_context": [0, 17], "mode": 0, "pynative_mod": 0, "device_target": [0, 17], "cpu": [0, 13, 15, 17], "resize_op": 0, "resiz": [0, 13], "rescale_transform": 0, "transform": 0, "compos": 0, "f32_typecast": 0, "typecast": 0, "float32": [0, 4, 10, 15], "rgb": 0, "convert_gray": 0, "convertcolor": 0, "convertmod": 0, "color_rgb2gray": 0, "hwc2chw": 0, "train_data": 0, "imagefolderdataset": 0, "dataset_dir": 0, "decod": 0, "extens": 0, "jpeg": 0, "png": 0, "jpg": [0, 4], "map": 0, "input_column": 0, "oper": 0, "lambda": 0, "output_column": 0, "batch": [0, 10], "data_it": 0, "create_dict_iter": 0, "print": [0, 4, 15], "my_model": 0, "loss": 0, "crossentropyloss": 0, "reduct": 0, "mean": 0, "optim": 0, "adam": [0, 13], "trainable_param": 0, "learning_r": 0, "01": 0, "cnn_model": 0, "model": [0, 4, 15], "loss_fn": 0, "metric": 0, "accuraci": 0, "num_epoch": 0, "dataset_sink_mod": 0, "fals": [0, 4, 9, 10], "input": [0, 4, 9, 11, 15], "tensor": [0, 4, 7, 10, 15], "random": 0, "randn": 0, "astyp": 0, "file_nam": [0, 4, 15], "file_format": [0, 4, 15], "mindir": [0, 4, 15], "cv2": 0, "export_gray": 0, "connect": 0, "export_connect": 0, "class_nam": 0, "brdm_2": 0, "btr_60": 0, "slici": 0, "t62": 0, "zsu_23_4": 0, "class_label": 0, "graycnn": 0, "load": 0, "reshap": [0, 13], "__name__": 0, "__main__": 0, "graph_mod": 0, "uint8": [0, 10, 13], "color_imag": 0, "imread": 0, "image_origin": 0, "resized_imag": 0, "width": 0, "height": 0, "interpol": 0, "inter_linear": 0, "resized_image_tensor": 0, "param_dict": 0, "param_not_load": 0, "load_param_into_net": 0, "strict_load": 0, "input_tensor": 0, "one": [0, 15], "dtype": [0, 4, 15], "reload_cnn": 0, "predict": [0, 15], "output_np": 0, "asnumpi": 0, "num_class": 0, "output_prob": 0, "exp": [0, 4], "sum": 0, "keepdim": 0, "predicted_class": 0, "argmax": 0, "ft78ne": [0, 9, 15], "lite": [0, 4, 13, 20], "converter_lit": 0, "yhft": [0, 4, 15], "ide": [0, 4, 15], "fmk": 0, "modelfil": 0, "outputfil": 0, "netron": 0, "https": [0, 17], "app": 0, "midir": 0, "heterogen": [0, 15], "data_handl": [0, 15], "cc": 0, "main": [0, 7, 9, 11], "cmakelist": [0, 15], "txt": [0, 15, 17], "opencv": 0, "lib": 0, "includ": [0, 7, 9, 11], "build": [0, 15], "opencv2": 0, "hpp": 0, "int": [0, 7, 9, 10, 11], "readimag": 0, "float": [0, 9, 11], "reslut": 0, "std": [0, 15], "string": 0, "imagepath": 0, "mat": [0, 4], "c_str": 0, "imread_color": 0, "empti": 0, "fprintf": 0, "stderr": 0, "read": 0, "fail": 0, "size": [0, 4, 13], "convertto": 0, "cv_32f": 0, "const": [0, 15], "channel": 0, "element_count": 0, "for": [0, 17], "src_ptr": 0, "ptr": 0, "dst_ptr": 0, "memcpi": 0, "sizeof": 0, "auto": 0, "make_shar": 0, "device_list": 0, "mutabledeviceinfo": [0, 15], "setbuiltindeleg": 0, "delegatemod": 0, "kpnna": 0, "cpu_info": 0, "cpudeviceinfo": 0, "dsp_info": 0, "ft78nedeviceinfo": 0, "push_back": 0, "vector": [0, 15], "floatarraytovector": 0, "array": [0, 4], "size_t": [0, 15], "vec": 0, "numpy_exp": 0, "result": [0, 4, 17], "reserv": 0, "num": 0, "sum_row": 0, "accumul": 0, "begin": [0, 9], "end": [0, 9], "convertto2d": 0, "row": 0, "col": 0, "index": 0, "void": [0, 9, 11, 15], "getoutputdata": [0, 15], "mstensor": [0, 15], "output": [0, 9, 11, 15], "cout": 0, "name": 0, "is": [0, 17], "datas": 0, "element": 0, "elementnum": 0, "endl": 0, "out_data": 0, "reinterpret_cast": 0, "data": [0, 4], "get": 0, "50": [0, 4], "out": [0, 15], "exp_x": 0, "x1": [0, 15], "twod": 0, "argmax_indic": 0, "py": [0, 15], "defin": 0, "directori": 0, "and": 0, "paramet": [0, 4], "sar": [0, 3], "befor": 0, "128x128": 0, "after": 0, "gray_cnn": 1, "rdsar": 3, "rang": [4, 13], "doppler": 4, "rd": 4, "2023": 4, "11": [4, 17], "18": 4, "20": 4, "47": 4, "close": 4, "all": [4, 13], "1536": 4, "2048": 4, "complex": 4, "int8": [4, 9, 10, 13], "echo1": 4, "importdata": 4, "cddata1": 4, "echo2": 4, "cddata2": 4, "3072": 4, "echo": 4, "doubl": [4, 9], "para": 4, "cd_run_param": 4, "fr": 4, "fa": 4, "prf": 4, "f0": 4, "tr": 4, "r0": 4, "kr": 4, "vr": 4, "7062": 4, "ka": 4, "1733": 4, "f_nc": 4, "6900": 4, "lamda": 4, "na": 4, "nr": 4, "4096": 4, "3414": 4, "padarray": 4, "round": [4, 13], "tr_axi": 4, "fr_gap": 4, "fr_axi": 4, "fftshift": [4, 13], "ta_axi": 4, "ta_gap": 4, "fa_axi": 4, "fft": [4, 10, 13], "echo_s1": 4, "echo_d1_mf": 4, "1i": 4, "pi": [4, 10], "ifft": [4, 10, 13], "2i": 4, "echo_s2": 4, "4i": 4, "echo_d3_mf": 4, "echo_s3": 4, "echo_s4": 4, "circshift": 4, "abs": [4, 13], "3328": 4, "flipud": 4, "echo_s5": 4, "satur": 4, "figur": 4, "imagesc": 4, "titl": 4, "echo_r": 4, "gather": [4, 13], "adapthisteq": 4, "cliplimit": 4, "004": 4, "distribut": 4, "exponenti": 4, "alpha": 4, "imshow": 4, "python": 4, "loadmat": 4, "scipi": 4, "io": 4, "step": 4, "sio": 4, "append": 4, "pip": [4, 17], "instal": [4, 17], "echo_shap": 4, "api": [4, 10, 12, 14], "mr": 4, "dim": 4, "fft1": 4, "ifft1": 4, "temp": 4, "temp1": 4, "temp2": 4, "temp3": 4, "cast": [4, 13], "complex64": [4, 10], "sq_fr_axi": 4, "pad": 4, "new_shap": 4, "constant": 4, "constant_valu": 4, "1j": 4, "2j": 4, "4j": 4, "matplotlib": 4, "pyplot": 4, "plt": 4, "show": 4, "pcolor": 4, "savefig": 4, "v3": 4, "mindradar": 4, "arang": 4, "matmul": [4, 15], "complexab": [4, 13, 17], "unsqueez": [4, 13], "squar": [4, 13], "sq_fa_axi": 4, "multipli": 4, "roll": 4, "shift": 4, "flip": 4, "saturation_tensor": 4, "full": 4, "where": [4, 13], "rdsarv3": 4, "hellodsp": [4, 14, 16], "matio": 4, "cs": 4, "sar_imaging_with_rd_cs_wk": 4, "my_c_add_anycor": 7, "param1": 7, "param2": 7, "gsm": 7, "ddr": [7, 9, 11], "smc": 7, "stdio": [7, 9, 11], "argc": [7, 9, 11], "char": [7, 9, 11], "argv": [7, 9, 11], "my_c_add": 7, "my_c_add_1cor": 7, "add": [8, 12, 17], "equal": [8, 12, 13], "fftwithsiz": [8, 12], "log10": [8, 12], "i8_equal_": 9, "int8_t": 9, "input0": 9, "input1": [9, 11], "bool": [9, 10, 13], "length": 9, "core_mask": 9, "i16_equal_": 9, "int16_t": 9, "i32_equal_": 9, "hp_equal_": 9, "half": 9, "fp_equal_": 9, "dp_equal_": 9, "c64_equal_": 9, "c128_equal_": 9, "output_i": [9, 11], "case": 9, "text": 9, "input0_i": 9, "input1_i": [9, 11], "neq": 9, "mt7004": [9, 11], "int16": [9, 10, 13], "int32": [9, 10, 13], "fp32": [9, 11, 13], "fp64": [9, 13], "cplx64": [9, 13], "cplx128": [9, 13], "fp16": [9, 13], "0xa0000000": 9, "0xb0000000": 9, "0xc0000000": 9, "1000": [9, 11], "0xff": 9, "fp_equal_p": 9, "i8_equal_p": 9, "i16_equal_p": 9, "i32_equal_p": 9, "int32_t": 9, "hp_equal_p": 9, "dp_equal_p": 9, "c64_equal_p": 9, "c128_equal_p": 9, "0x10000000": 9, "l2": 9, "0x10001000": 9, "signal_ndim": 10, "invers": 10, "real": 10, "norm": 10, "backward": 10, "onesid": 10, "signal_s": 10, "rfft": 10, "irfft": 10, "omega_1": 10, "dot": 10, "omega_d": 10, "sum_": 10, "n_1": 10, "n_d": 10, "frac": 10, "omega_i": 10, "n_i": 10, "prod_": 10, "complex128": 10, "int64": 10, "float64": 10, "str": 10, "forward": 10, "ortho": 10, "sqrt": [10, 13], "tupl": 10, "signal": [10, 15, 17, 19], "_size": 10, "_ndim": 10, "typeerror": 10, "irff": 10, "valueerror": 10, "fp_log10_": 11, "mask": 11, "log_": 11, "0x100000000": 11, "0x100001000": 11, "0xf": 11, "librari": [12, 14], "refer": [12, 14], "7004": 13, "6678e": 13, "absgrad": 13, "activ": [13, 17], "activationgrad": 13, "addfus": 13, "adderfus": 13, "addgrad": 13, "addn": 13, "affin": 13, "allgath": 13, "applymomentum": 13, "assert": 13, "assign": 13, "argmaxfus": 13, "argminfus": 13, "avgpoolfus": 13, "avgpoolgrad": 13, "batchnorm": 13, "batchnormgrad": 13, "batchtospac": 13, "batchtospacend": 13, "biasadd": 13, "biasaddgrad": 13, "binarycrossentropi": 13, "binarycrossentropygrad": 13, "broadcastto": 13, "call": 13, "ceil": 13, "concat": 13, "constantofshap": 13, "conv2dfus": 13, "conv2dbackpropfilterfus": 13, "conv2dbackpropinputfus": 13, "conv2dtransposefus": 13, "cos": 13, "crop": 13, "cropandres": 13, "cumsum": 13, "customextractfeatur": 13, "customnorm": 13, "custompredict": 13, "deconv2dgradfilt": 13, "depthtospac": 13, "detectionpostprocess": 13, "divfus": 13, "divgrad": 13, "dropout": 13, "dropoutgrad": 13, "dynamicqu": 13, "eltwis": 13, "elu": 13, "embeddinglookupfus": 13, "erf": 13, "expfus": 13, "expanddim": 13, "fill": 13, "flattengrad": 13, "floor": 13, "floordiv": 13, "floormod": 13, "fullconnect": 13, "fusedbatchnorm": 13, "gathernd": 13, "gatherd": 13, "glu": 13, "greater": 13, "greaterequ": 13, "groupnormfus": 13, "gru": 13, "hashtablelookup": 13, "instancenorm": 13, "invertpermut": 13, "isfinit": 13, "l2normalizefus": 13, "layernormfus": 13, "layernormgrad": 13, "leakyrelu": 13, "less": 13, "lessequ": 13, "lrn": 13, "log": 13, "log1p": 13, "loggrad": 13, "logicaland": 13, "logicalnot": 13, "logicalor": 13, "logsoftmax": 13, "lshproject": 13, "lstm": 13, "lstmgrad": 13, "lstmgraddata": 13, "lstmgradweight": 13, "matmulfus": 13, "maximum": 13, "maximumgrad": 13, "maxpoolfus": 13, "maxpoolgrad": 13, "merg": 13, "minimum": 13, "minimumgrad": 13, "mod": 13, "mulfus": 13, "mulgrad": 13, "neg": 13, "neggrad": 13, "nllloss": 13, "nlllossgrad": 13, "notequ": 13, "nonmaxsupppress": 13, "nonzero": 13, "onehot": 13, "oneslik": 13, "padfus": 13, "partialfus": 13, "powfus": 13, "powergrad": 13, "priorbox": 13, "prelufus": 13, "quantdtypecast": 13, "raggedrang": 13, "randomnorm": 13, "randomstandardnorm": 13, "rank": 13, "realdiv": 13, "reciproc": 13, "reducefus": 13, "reducescatt": 13, "resizegrad": 13, "reversev2": 13, "reversesequ": 13, "roipool": 13, "rsqrt": 13, "rsqrtgrad": 13, "select": 13, "selu": 13, "scalefus": 13, "scatternd": 13, "scatterndupd": 13, "sgd": 13, "sigmoidcroosentropywithlogit": 13, "sigmoidcroosentropywithlogitsgrad": 13, "sin": 13, "slicefus": 13, "skipgram": 13, "smoothl1loss": 13, "smoothl1lossgrad": 13, "softmax": 13, "softmaxgrad": 13, "softplus": 13, "spacetobatch": 13, "spacetobatchnd": 13, "spacetodepth": 13, "sparsetodens": 13, "sparsesoftmaxcrossentropywithlogit": 13, "splice": 13, "splitwithoverlap": 13, "sqrtgrad": 13, "squareddiffer": 13, "stridedslic": 13, "stridedslicegrad": 13, "stack": 13, "subfus": 13, "subgrad": 13, "switch": 13, "switchlay": 13, "tensorlistfromtensor": 13, "tensorlistgetitem": 13, "tensorlistreserv": 13, "tensorlistsetitem": 13, "tensorliststack": 13, "tensorscatteradd": 13, "tilefus": 13, "topkfus": 13, "transpos": 13, "uniformr": 13, "uniqu": 13, "unsortedsegmentsum": 13, "unstack": 13, "zeroslik": 13, "amzipp": 13, "arcsin": 13, "azimuthfftfftshift": 13, "azimuthifft": 13, "bitrev": 13, "cvmulcv": 13, "cvmulcvifft": 13, "fft_nobitrev": 13, "fft_time": 13, "fourpointinterpolatori": 13, "ifft_nobitrev": 13, "ifft_tim": 13, "phasemul": 13, "rangfft": 13, "revers": 13, "tdpp": 13, "vecatan": 13, "cfar": 13, "test_matmul": 15, "x2": 15, "x1_tensor": 15, "x2_tensor": 15, "2x2": 15, "ir": 15, "convert": 15, "vscode": 15, "arm_toolchain": 15, "cmake": 15, "bat": 15, "arm": [15, 17], "window": [15, 17], "getinputdata": 15, "readfil": 15, "model_buf": 15, "model_data": 15, "data_s": 15, "model_typ": 15, "modetyp": 15, "model_context": 15, "shared_ptr": 15, "getinput": 15, "getoutput": 15, "ip": 15, "ssh": 15, "xxx": [15, 17, 21], "chmod": 15, "linux": 17, "gnueabihf": 17, "30": 17, "python3": 17, "www": 17, "org": 17, "ftp": 17, "amd64": 17, "exe": 17, "custom": 17, "to": 17, "path": 17, "cmd": 17, "version": 17, "x86": 17, "anaconda3": 17, "miniconda3": 17, "anaconda": 17, "promt": 17, "creat": 17, "forg": 17, "mindspore_py38": 17, "win_amd64": 17, "whl": 17, "run_check": 17, "the": 17, "of": 17, "multipl": 17, "calcul": 17, "correct": 17, "has": 17, "been": 17, "on": 17, "platform": 17, "success": 17, "third": 17, "parti": 17, "requir": 17, "py3": 17, "none": 17, "ani": 17, "releas": 17, "linaro": 17, "compon": 17, "toolchain": 17, "binari": 17, "2019": 17, "12": 17, "gcc": 17, "i686": 17, "mingw32_arm": 17, "tar": 17, "xz": 17, "download": 17, "next": 17, "system": 17, "current": 17, "user": 17, "finish": 17, "minsdpor": 20}, "objects": {"": [[9, 0, 1, "c.c128_equal_p", "c128_equal_p"], [9, 0, 1, "c.c128_equal_s", "c128_equal_s"], [9, 0, 1, "c.c64_equal_p", "c64_equal_p"], [9, 0, 1, "c.c64_equal_s", "c64_equal_s"], [9, 0, 1, "c.dp_equal_p", "dp_equal_p"], [9, 0, 1, "c.dp_equal_s", "dp_equal_s"], [9, 0, 1, "c.fp_equal_p", "fp_equal_p"], [9, 0, 1, "c.fp_equal_s", "fp_equal_s"], [11, 0, 1, "c.fp_log10_s", "fp_log10_s"], [9, 0, 1, "c.hp_equal_p", "hp_equal_p"], [9, 0, 1, "c.hp_equal_s", "hp_equal_s"], [9, 0, 1, "c.i16_equal_p", "i16_equal_p"], [9, 0, 1, "c.i16_equal_s", "i16_equal_s"], [9, 0, 1, "c.i32_equal_p", "i32_equal_p"], [9, 0, 1, "c.i32_equal_s", "i32_equal_s"], [9, 0, 1, "c.i8_equal_p", "i8_equal_p"], [9, 0, 1, "c.i8_equal_s", "i8_equal_s"], [7, 0, 1, "c.my_c_add_1core", "my_c_add_1core"], [7, 0, 1, "c.my_c_add_anycore", "my_c_add_anycore"]], "c128_equal_p": [[9, 1, 1, "c.c128_equal_p", "Input0"], [9, 1, 1, "c.c128_equal_p", "Input1"], [9, 1, 1, "c.c128_equal_p", "length"], [9, 1, 1, "c.c128_equal_p", "output"]], "c128_equal_s": [[9, 1, 1, "c.c128_equal_s", "Input0"], [9, 1, 1, "c.c128_equal_s", "Input1"], [9, 1, 1, "c.c128_equal_s", "core_mask"], [9, 1, 1, "c.c128_equal_s", "length"], [9, 1, 1, "c.c128_equal_s", "output"]], "c64_equal_p": [[9, 1, 1, "c.c64_equal_p", "Input0"], [9, 1, 1, "c.c64_equal_p", "Input1"], [9, 1, 1, "c.c64_equal_p", "length"], [9, 1, 1, "c.c64_equal_p", "output"]], "c64_equal_s": [[9, 1, 1, "c.c64_equal_s", "Input0"], [9, 1, 1, "c.c64_equal_s", "Input1"], [9, 1, 1, "c.c64_equal_s", "core_mask"], [9, 1, 1, "c.c64_equal_s", "length"], [9, 1, 1, "c.c64_equal_s", "output"]], "dp_equal_p": [[9, 1, 1, "c.dp_equal_p", "Input0"], [9, 1, 1, "c.dp_equal_p", "Input1"], [9, 1, 1, "c.dp_equal_p", "length"], [9, 1, 1, "c.dp_equal_p", "output"]], "dp_equal_s": [[9, 1, 1, "c.dp_equal_s", "Input0"], [9, 1, 1, "c.dp_equal_s", "Input1"], [9, 1, 1, "c.dp_equal_s", "core_mask"], [9, 1, 1, "c.dp_equal_s", "length"], [9, 1, 1, "c.dp_equal_s", "output"]], "fp_equal_p": [[9, 1, 1, "c.fp_equal_p", "Input0"], [9, 1, 1, "c.fp_equal_p", "Input1"], [9, 1, 1, "c.fp_equal_p", "length"], [9, 1, 1, "c.fp_equal_p", "output"]], "fp_equal_s": [[9, 1, 1, "c.fp_equal_s", "Input0"], [9, 1, 1, "c.fp_equal_s", "Input1"], [9, 1, 1, "c.fp_equal_s", "core_mask"], [9, 1, 1, "c.fp_equal_s", "length"], [9, 1, 1, "c.fp_equal_s", "output"]], "fp_log10_s": [[11, 1, 1, "c.fp_log10_s", "input1"], [11, 1, 1, "c.fp_log10_s", "mask"], [11, 1, 1, "c.fp_log10_s", "n"], [11, 1, 1, "c.fp_log10_s", "output"]], "hp_equal_p": [[9, 1, 1, "c.hp_equal_p", "Input0"], [9, 1, 1, "c.hp_equal_p", "Input1"], [9, 1, 1, "c.hp_equal_p", "length"], [9, 1, 1, "c.hp_equal_p", "output"]], "hp_equal_s": [[9, 1, 1, "c.hp_equal_s", "Input0"], [9, 1, 1, "c.hp_equal_s", "Input1"], [9, 1, 1, "c.hp_equal_s", "core_mask"], [9, 1, 1, "c.hp_equal_s", "length"], [9, 1, 1, "c.hp_equal_s", "output"]], "i16_equal_p": [[9, 1, 1, "c.i16_equal_p", "Input0"], [9, 1, 1, "c.i16_equal_p", "Input1"], [9, 1, 1, "c.i16_equal_p", "length"], [9, 1, 1, "c.i16_equal_p", "output"]], "i16_equal_s": [[9, 1, 1, "c.i16_equal_s", "Input0"], [9, 1, 1, "c.i16_equal_s", "Input1"], [9, 1, 1, "c.i16_equal_s", "core_mask"], [9, 1, 1, "c.i16_equal_s", "length"], [9, 1, 1, "c.i16_equal_s", "output"]], "i32_equal_p": [[9, 1, 1, "c.i32_equal_p", "Input0"], [9, 1, 1, "c.i32_equal_p", "Input1"], [9, 1, 1, "c.i32_equal_p", "length"], [9, 1, 1, "c.i32_equal_p", "output"]], "i32_equal_s": [[9, 1, 1, "c.i32_equal_s", "Input0"], [9, 1, 1, "c.i32_equal_s", "Input1"], [9, 1, 1, "c.i32_equal_s", "core_mask"], [9, 1, 1, "c.i32_equal_s", "length"], [9, 1, 1, "c.i32_equal_s", "output"]], "i8_equal_p": [[9, 1, 1, "c.i8_equal_p", "Input0"], [9, 1, 1, "c.i8_equal_p", "Input1"], [9, 1, 1, "c.i8_equal_p", "length"], [9, 1, 1, "c.i8_equal_p", "output"]], "i8_equal_s": [[9, 1, 1, "c.i8_equal_s", "Input0"], [9, 1, 1, "c.i8_equal_s", "Input1"], [9, 1, 1, "c.i8_equal_s", "core_mask"], [9, 1, 1, "c.i8_equal_s", "length"], [9, 1, 1, "c.i8_equal_s", "output"]], "my_c_add_1core": [[7, 1, 1, "c.my_c_add_1core", "param1"], [7, 1, 1, "c.my_c_add_1core", "param2"]], "my_c_add_anycore": [[7, 1, 1, "c.my_c_add_anycore", "param1"], [7, 1, 1, "c.my_c_add_anycore", "param2"]], "mindspore.ops": [[10, 2, 1, "", "FFTWithSize"]]}, "objtypes": {"0": "c:function", "1": "c:functionParam", "2": "py:class"}, "objnames": {"0": ["c", "function", "C \u51fd\u6570"], "1": ["c", "functionParam", "C \u51fd\u6570\u53c2\u6570"], "2": ["py", "class", "Python \u7c7b"]}, "titleterms": {"gray_cnn": 0, "python": [0, 15, 17], "ai": [1, 2], "dsp": [1, 3, 8], "rdsar": 4, "sar": 4, "matlab": 4, "mindspor": [4, 14, 15, 17, 21], "signal": [4, 14, 21], "add": 7, "librari": 8, "api": 8, "refer": 8, "equal": 9, "fftwithsiz": 10, "log10": 11, "hellodsp": 15, "lite": 15, "main": 15, "cc": 15, "mt7004": 15, "radar": 17, "conda": 17, "mindradar": 17, "yhft": 17, "ide": 17, "cmake": 17, "netron": 17}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx": 58}, "alltitles": {"GRAY_CNN(\u56fe\u7247\u7070\u5ea6\u5316\u5904\u7406+\u56fe\u7247\u8bc6\u522b)": [[0, "gray-cnn"]], "\u5e94\u7528\u6982\u8ff0": [[0, "id1"]], "\u5f00\u53d1\u6d41\u7a0b": [[0, "id2"]], "1. \u5b9a\u4e49\u6a21\u578b": [[0, "id3"]], "2. \u6a21\u578b\u8bad\u7ec3": [[0, "model-training"]], "3. \u91cd\u65b0\u7ec4\u7f51": [[0, "id5"]], "4. \u8f6c\u6362\u6a21\u578b": [[0, "id6"]], "5. \u90e8\u7f72\u548c\u8fd0\u884c\u7a0b\u5e8f": [[0, "id7"]], "python\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b": [[0, "python"]], "AI+DSP\u5e94\u7528\u793a\u4f8b": [[1, "ai-dsp"]], "AI\u8f85\u52a9\u5f00\u53d1\u793a\u4f8b": [[2, "ai"]], "DSP\u5e94\u7528\u793a\u4f8b": [[3, "dsp"]], "RDSAR\uff08\u8ddd\u79bb-\u591a\u666e\u52d2SAR\u6210\u50cf\u7b97\u6cd5\uff09": [[4, "rdsar-sar"]], "\u7b97\u6cd5\u6982\u8ff0": [[4, "id1"]], "MATLAB \u5b9e\u73b0": [[4, "matlab"]], "MindSpore Signal+ \u5b9e\u73b0": [[4, "mindspore-signal"]], "1. \u6570\u636e\u8bfb\u53d6": [[4, "id2"]], "2. \u6570\u636e\u9884\u5904\u7406": [[4, "id3"]], "3. \u6838\u5fc3\u8ba1\u7b97": [[4, "id4"]], "4. \u6570\u636e\u540e\u5904\u7406": [[4, "id5"]], "\u677f\u5361\u90e8\u7f72": [[4, "id6"]], "\u53c2\u8003\u4e0e\u6e90\u7801": [[4, "id7"]], "\u5e94\u7528\u5f00\u53d1\u793a\u4f8b": [[5, "id1"]], "\u81ea\u5b9a\u4e49\u7b97\u5b50\u5217\u8868": [[6, "id1"]], "Add": [[7, "add"]], "DSP Library C API Reference": [[8, "dsp-library-c-api-reference"]], "Equal": [[9, "equal"]], "FFTWithSize": [[10, "fftwithsize"]], "Log10": [[11, "log10"]], "\u7b97\u5b50\u5e93\u652f\u6301": [[12, "id1"]], "\u7b97\u5b50\u5e93\u652f\u6301\u60c5\u51b5": [[13, "id1"]], "MindSpore Signal+ \u4f7f\u7528\u624b\u518c": [[14, "mindspore-signal"]], "HelloDSP": [[15, "hellodsp"]], "1.MindSpore Python\u7aef": [[15, "mindspore-python"]], "1.1 \u65b0\u5efaPython\u6587\u4ef6": [[15, "id1"]], "1.2 \u7f16\u5199Python\u4ee3\u7801": [[15, "id2"]], "1.3 \u8fd0\u884cPython\u4ee3\u7801": [[15, "id3"]], "MindSpore Lite\u7aef": [[15, "mindspore-lite"]], "1. \u65b0\u5efa\u5de5\u7a0b": [[15, "id4"]], "2. \u5de5\u7a0b\u76ee\u5f55\u7ed3\u6784": [[15, "id5"]], "3. \u66f4\u6539\u8f93\u5165\u6570\u636e": [[15, "id6"]], "4. main.cc \u529f\u80fd\u4ecb\u7ecd": [[15, "main-cc"]], "4.1 \u8bfb\u53d6\u6a21\u578b\u6587\u4ef6": [[15, "id7"]], "4.2 \u8bbe\u7f6e\u8fd0\u884c\u540e\u7aef": [[15, "id8"]], "4.3 \u7f16\u8bd1\u6a21\u578b\u56fe": [[15, "id9"]], "4.4 \u83b7\u53d6\u6a21\u578b\u8f93\u5165": [[15, "id10"]], "4.5 \u6267\u884c\u6a21\u578b\u63a8\u7406": [[15, "id11"]], "4.6 \u83b7\u53d6\u6a21\u578b\u7ed3\u679c": [[15, "id12"]], "5. \u7f16\u8bd1\u5de5\u7a0b": [[15, "id13"]], "6. \u8fd0\u884c\u5de5\u7a0b": [[15, "id14"]], "6.1 \u8fde\u63a5 MT7004 \u677f\u5361": [[15, "mt7004"]], "6.2 \u90e8\u7f72\u548c\u8fd0\u884c\u7a0b\u5e8f": [[15, "id15"]], "\u5feb\u901f\u5165\u95e8": [[16, "id1"]], "\u73af\u5883\u5b89\u88c5": [[17, "id1"]], "\u5b89\u88c5MindSpore Radar \u4e0e\u4f9d\u8d56\u8f6f\u4ef6": [[17, "mindspore-radar"]], "\u5b89\u88c5Python": [[17, "python"]], "1.\u5b89\u88c5\u5305\u65b9\u5f0f\u5b89\u88c5": [[17, "id2"]], "1.1 \u4e0b\u8f7d\u5b89\u88c5\u5305": [[17, "id3"]], "1.2 \u5f00\u59cb\u5b89\u88c5": [[17, "id4"]], "1.3 \u9a8c\u8bc1\u5b89\u88c5": [[17, "id5"]], "2.Conda\u65b9\u5f0f\u5b89\u88c5": [[17, "conda"]], "\u521b\u5efa\u5e76\u8fdb\u5165Conda\u865a\u62df\u73af\u5883": [[17, "id6"]], "\u5b89\u88c5MindSpore": [[17, "mindspore"]], "\u5b89\u88c5MindRadar": [[17, "mindradar"]], "\u914d\u7f6e\u4ea4\u53c9\u7f16\u8bd1\u5de5\u5177\u94fe": [[17, "toolchain"]], "\u5b89\u88c5YHFT-IDE": [[17, "yhft-ide"]], "\u5b89\u88c5CMake": [[17, "cmake"]], "\u5b89\u88c5Netron": [[17, "netron"]], "\u6574\u4f53\u6982\u89c8": [[18, "id1"]], "\u53c2\u8003\u8d44\u6599": [[19, "id1"]], "\u5b98\u65b9\u8d44\u6599": [[20, "id1"]], "MindSpore Signal+ \u8c03\u5ea6\u65b9\u6848": [[21, "mindspore-signal"]]}, "indexentries": {"my_c_add_1core\uff08c function\uff09": [[7, "c.my_c_add_1core"]], "my_c_add_anycore\uff08c function\uff09": [[7, "c.my_c_add_anycore"]], "c128_equal_p\uff08c function\uff09": [[9, "c.c128_equal_p"]], "c128_equal_s\uff08c function\uff09": [[9, "c.c128_equal_s"]], "c64_equal_p\uff08c function\uff09": [[9, "c.c64_equal_p"]], "c64_equal_s\uff08c function\uff09": [[9, "c.c64_equal_s"]], "dp_equal_p\uff08c function\uff09": [[9, "c.dp_equal_p"]], "dp_equal_s\uff08c function\uff09": [[9, "c.dp_equal_s"]], "fp_equal_p\uff08c function\uff09": [[9, "c.fp_equal_p"]], "fp_equal_s\uff08c function\uff09": [[9, "c.fp_equal_s"]], "hp_equal_p\uff08c function\uff09": [[9, "c.hp_equal_p"]], "hp_equal_s\uff08c function\uff09": [[9, "c.hp_equal_s"]], "i16_equal_p\uff08c function\uff09": [[9, "c.i16_equal_p"]], "i16_equal_s\uff08c function\uff09": [[9, "c.i16_equal_s"]], "i32_equal_p\uff08c function\uff09": [[9, "c.i32_equal_p"]], "i32_equal_s\uff08c function\uff09": [[9, "c.i32_equal_s"]], "i8_equal_p\uff08c function\uff09": [[9, "c.i8_equal_p"]], "i8_equal_s\uff08c function\uff09": [[9, "c.i8_equal_s"]], "mindspore.ops.fftwithsize\uff08\u5185\u7f6e\u7c7b\uff09": [[10, "mindspore.ops.FFTWithSize"]], "fp_log10_s\uff08c function\uff09": [[11, "c.fp_log10_s"]]}})
\ No newline at end of file