text 使用Keras中的Concatenate层的shap错误示例。
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"import keras\n",
"import numpy as np\n",
"import tensorflow as tf\n",
"import shap"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.2.4\n",
"1.15.4\n",
"1.8.0\n",
"0.25.1\n"
]
}
],
"source": [
"print(keras.__version__) # 2.2.4\n",
"print(np.__version__) # 1.15.4\n",
"print(tf.__version__) # 1.8.0\n",
"print(shap.__version__) # 0.25.1"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"n = 10\n",
"p = 4\n",
"X_1 = np.random.rand(n, p)\n",
"X_2 = np.random.rand(n, p)\n",
"y = np.random.rand(n)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1\n",
"\r",
"10/10 [==============================] - 0s 10ms/step - loss: 0.5915 - mean_squared_error: 0.5915\n"
]
},
{
"data": {
"text/plain": [
"<keras.callbacks.History at 0x12296d438>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from keras.layers import Input, Concatenate, Dense\n",
"from keras.models import Model\n",
"\n",
"# Define inputs\n",
"input_1 = Input(shape=(p,))\n",
"input_2 = Input(shape=(p,))\n",
"\n",
"# Concatenate\n",
"x = Concatenate()([input_1, input_2])\n",
"output = Dense(1)(x)\n",
"\n",
"# Compile model\n",
"model = Model(\n",
" inputs=[input_1, input_2], \n",
" outputs=output)\n",
"model.compile(\n",
" loss='mean_squared_error', \n",
" optimizer=keras.optimizers.Adam(),\n",
" metrics=['mse'])\n",
"\n",
"# Train model\n",
"model.fit([X_1, X_2], y)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"ename": "AssertionError",
"evalue": "1th input to concatenate_1/concat cannot vary!",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/framework/ops.py\u001b[0m in \u001b[0;36mget_attr\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 2326\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mc_api_util\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtf_buffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2327\u001b[0;31m \u001b[0mc_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_OperationGetAttrValueProto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_c_op\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2328\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mc_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mInvalidArgumentError\u001b[0m: Operation 'concatenate_1/concat' has no attr named '_XlaCompile'.",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py\u001b[0m in \u001b[0;36m_MaybeCompile\u001b[0;34m(scope, op, func, grad_fn)\u001b[0m\n\u001b[1;32m 379\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 380\u001b[0;31m \u001b[0mxla_compile\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_attr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"_XlaCompile\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 381\u001b[0m xla_separate_compiled_gradients = op.get_attr(\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/framework/ops.py\u001b[0m in \u001b[0;36mget_attr\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 2330\u001b[0m \u001b[0;31m# Convert to ValueError for backwards compatibility.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2331\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2332\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mattr_value_pb2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mAttrValue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Operation 'concatenate_1/concat' has no attr named '_XlaCompile'.",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-5-527f80281438>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0me\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDeepExplainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mX_1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mshap_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshap_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mX_1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/shap/explainers/deep/__init__.py\u001b[0m in \u001b[0;36mshap_values\u001b[0;34m(self, X, ranked_outputs, output_rank_order)\u001b[0m\n\u001b[1;32m 113\u001b[0m \u001b[0mwere\u001b[0m \u001b[0mchosen\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0;34m\"top\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 114\u001b[0m \"\"\"\n\u001b[0;32m--> 115\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexplainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshap_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mranked_outputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput_rank_order\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/shap/explainers/deep/deep_tf.py\u001b[0m in \u001b[0;36mshap_values\u001b[0;34m(self, X, ranked_outputs, output_rank_order)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;31m# run attribution computation graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mfeature_ind\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_output_ranks\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0msample_phis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mphi_symbolic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfeature_ind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel_inputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjoint_input\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0;31m# assign the attributions to the right part of the output arrays\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/shap/explainers/deep/deep_tf.py\u001b[0m in \u001b[0;36mphi_symbolic\u001b[0;34m(self, i)\u001b[0m\n\u001b[1;32m 194\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel_output\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmulti_output\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel_output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 196\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mphi_symbolics\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgradients\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel_inputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 197\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 198\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py\u001b[0m in \u001b[0;36mgradients\u001b[0;34m(ys, xs, grad_ys, name, colocate_gradients_with_ops, gate_gradients, aggregation_method, stop_gradients)\u001b[0m\n\u001b[1;32m 492\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_default_graph\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# pylint: disable=protected-access\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 493\u001b[0m return _GradientsHelper(ys, xs, grad_ys, name, colocate_gradients_with_ops,\n\u001b[0;32m--> 494\u001b[0;31m gate_gradients, aggregation_method, stop_gradients)\n\u001b[0m\u001b[1;32m 495\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 496\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py\u001b[0m in \u001b[0;36m_GradientsHelper\u001b[0;34m(ys, xs, grad_ys, name, colocate_gradients_with_ops, gate_gradients, aggregation_method, stop_gradients)\u001b[0m\n\u001b[1;32m 634\u001b[0m \u001b[0;31m# functions.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 635\u001b[0m in_grads = _MaybeCompile(grad_scope, op, func_call,\n\u001b[0;32m--> 636\u001b[0;31m lambda: grad_fn(op, *out_grads))\n\u001b[0m\u001b[1;32m 637\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 638\u001b[0m \u001b[0;31m# For function call ops, we add a 'SymbolicGradient'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py\u001b[0m in \u001b[0;36m_MaybeCompile\u001b[0;34m(scope, op, func, grad_fn)\u001b[0m\n\u001b[1;32m 383\u001b[0m \u001b[0mxla_scope\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_attr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"_XlaScope\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 384\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 385\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mgrad_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Exit early\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 386\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 387\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mxla_compile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 634\u001b[0m \u001b[0;31m# functions.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 635\u001b[0m in_grads = _MaybeCompile(grad_scope, op, func_call,\n\u001b[0;32m--> 636\u001b[0;31m lambda: grad_fn(op, *out_grads))\n\u001b[0m\u001b[1;32m 637\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 638\u001b[0m \u001b[0;31m# For function call ops, we add a 'SymbolicGradient'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/shap/explainers/deep/deep_tf.py\u001b[0m in \u001b[0;36mcustom_grad\u001b[0;34m(self, op, *grads)\u001b[0m\n\u001b[1;32m 273\u001b[0m \"\"\" Passes a gradient op creation request to the correct handler.\n\u001b[1;32m 274\u001b[0m \"\"\"\n\u001b[0;32m--> 275\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mop_handlers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mgrads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 276\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/shap/explainers/deep/deep_tf.py\u001b[0m in \u001b[0;36mhandler\u001b[0;34m(explainer, op, *grads)\u001b[0m\n\u001b[1;32m 472\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mlinearity_1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput_ind\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 473\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexplainer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mgrads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 474\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mlinearity_1d_handler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput_ind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexplainer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mgrads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 475\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mhandler\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 476\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Workspace/tmp/shap-concat-bug/venv/lib/python3.6/site-packages/shap/explainers/deep/deep_tf.py\u001b[0m in \u001b[0;36mlinearity_1d_handler\u001b[0;34m(input_ind, explainer, op, *grads)\u001b[0m\n\u001b[1;32m 479\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 480\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mi\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0minput_ind\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 481\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mexplainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_variable_inputs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"th input to \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\" cannot vary!\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 482\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mexplainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morig_grads\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mgrads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 483\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mAssertionError\u001b[0m: 1th input to concatenate_1/concat cannot vary!"
]
}
],
"source": [
"e = shap.DeepExplainer(model, [X_1, X_2])\n",
"shap_values = e.shap_values([X_1, X_2])"
]
}
],
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"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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