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feat: sync all remaining python source board configurations

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yczpf2019
2026-01-24 16:19:55 +08:00
parent 1990bee9a1
commit 20bde81bbb
519 changed files with 93119 additions and 0 deletions
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230
mixly/boards/default_src/python_pyodide/blocks/tensorflow.js Normal file
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import * as Blockly from 'blockly/core';
const TENSORFLOW_HUE = '#1216ab';
Blockly.Blocks.tensorflow_init_tensor = {
init: function () {
this.appendValueInput("VAR")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_INIT_TENSOR);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_sequential = {
init: function () {
this.appendDummyInput()
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_SEQUENTIAL);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_layers_dense = {
init: function () {
this.appendDummyInput()
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_INIT_LAYERS_DENSE_LAYER);
this.appendValueInput("VAR1")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_OUTPUT_DIMENSION);
this.appendValueInput("VAR2")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_INPUT_SHAPE);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_add = {
init: function () {
this.appendValueInput("VAR1")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL);
this.appendValueInput("VAR2")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_ADD_LAYER);
this.setInputsInline(true);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_compile = {
init: function () {
this.appendValueInput("VAR1")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_COMPILE_MODEL);
this.appendDummyInput()
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_LOSS_FUNCTION_TYPE)
.appendField(new Blockly.FieldDropdown([
[Blockly.Msg.MIXLY_TENSORFLOW_MEAN_SQUARED_ERROR, "meanSquaredError"]
]), "VAR2");
this.appendDummyInput()
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_OPTIMIZER)
.appendField(new Blockly.FieldDropdown([
[Blockly.Msg.MIXLY_TENSORFLOW_SGD, "sgd"]
]), "VAR3");
this.setInputsInline(true);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_fit = {
init: function () {
this.appendValueInput("VAR1")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_FIT_MODEL);
this.appendValueInput("VAR2")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_FIT_INPUT_DATA);
this.appendValueInput("VAR3")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_FIT_TARGET_DATA);
this.appendValueInput("VAR4")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_FIT_EPOCHS);
this.appendValueInput("VAR5")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_FIT_VERBOSE);
this.appendDummyInput()
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_FIT_RETURN_HISTORY);
this.setInputsInline(false);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_get_loss = {
init: function () {
this.appendValueInput("VAR")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_GET_LOSS_FROM_HISTORY);
this.appendDummyInput()
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_GET_LOSS_FROM_HISTORY_2);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_predict = {
init: function () {
this.appendValueInput("VAR1")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_PREDICT);
this.appendValueInput("VAR2")
.setCheck(null)
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_PREDICT_INPUT_DATA);
this.appendDummyInput()
.setAlign(Blockly.ALIGN_RIGHT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_PREDICT_RETURN_RESULT);
this.setInputsInline(false);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_get_tensor_data = {
init: function () {
this.appendValueInput("VAR")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_GET_TENSOR_DATA);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_save_or_export_model = {
init: function () {
this.appendValueInput("NAME1")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL);
this.appendValueInput("NAME2")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(new Blockly.FieldDropdown([
[Blockly.Msg.MIXLY_TENSORFLOW_SAVE_MODEL, "save"],
[Blockly.Msg.MIXLY_TENSORFLOW_EXPORT_MODEL, "export"]
]), "NAME")
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_SAVE_MODEL_NAME);
this.setInputsInline(true);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_use_load_model = {
init: function () {
this.appendValueInput("NAME")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_LOAD_MODEL)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_MODEL_NAME);
this.setInputsInline(true);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};
Blockly.Blocks.tensorflow_prepare_picture = {
init: function () {
this.appendValueInput("NAME")
.setCheck(null)
.setAlign(Blockly.ALIGN_LEFT)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_PREPARE_PICTURE_TO_TENSOR)
.appendField(Blockly.Msg.MIXLY_TENSORFLOW_PREPARE_PICTURE_READ_PICTURE);
this.setInputsInline(true);
this.setOutput(true, null);
this.setColour(TENSORFLOW_HUE);
this.setTooltip('');
this.setHelpUrl('');
}
};