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V1_0
tree: cdb46cc72d8a1fca5ae7656ab673df6b5395901e [
path history
]
[
tgz
]
add.mod.py
add_broadcast_quant8.mod.py
add_quant8.mod.py
avg_pool_float_1.mod.py
avg_pool_float_2.mod.py
avg_pool_float_3.mod.py
avg_pool_float_4.mod.py
avg_pool_float_5.mod.py
avg_pool_quant8_1.mod.py
avg_pool_quant8_2.mod.py
avg_pool_quant8_3.mod.py
avg_pool_quant8_4.mod.py
avg_pool_quant8_5.mod.py
concat_float_1.mod.py
concat_float_2.mod.py
concat_float_3.mod.py
concat_quant8_1.mod.py
concat_quant8_2.mod.py
concat_quant8_3.mod.py
conv_1_h3_w2_SAME.mod.py
conv_1_h3_w2_VALID.mod.py
conv_3_h3_w2_SAME.mod.py
conv_3_h3_w2_VALID.mod.py
conv_float.mod.py
conv_float_2.mod.py
conv_float_channels.mod.py
conv_float_channels_weights_as_inputs.mod.py
conv_float_large.mod.py
conv_float_large_weights_as_inputs.mod.py
conv_float_weights_as_inputs.mod.py
conv_quant8.mod.py
conv_quant8_2.mod.py
conv_quant8_channels.mod.py
conv_quant8_channels_weights_as_inputs.mod.py
conv_quant8_large.mod.py
conv_quant8_large_weights_as_inputs.mod.py
conv_quant8_overflow.mod.py
conv_quant8_overflow_weights_as_inputs.mod.py
conv_quant8_weights_as_inputs.mod.py
depth_to_space_float_1.mod.py
depth_to_space_float_2.mod.py
depth_to_space_float_3.mod.py
depth_to_space_quant8_1.mod.py
depth_to_space_quant8_2.mod.py
depthwise_conv.mod.py
depthwise_conv2d_float.mod.py
depthwise_conv2d_float_2.mod.py
depthwise_conv2d_float_large.mod.py
depthwise_conv2d_float_large_2.mod.py
depthwise_conv2d_float_large_2_weights_as_inputs.mod.py
depthwise_conv2d_float_large_weights_as_inputs.mod.py
depthwise_conv2d_float_weights_as_inputs.mod.py
depthwise_conv2d_quant8.mod.py
depthwise_conv2d_quant8_2.mod.py
depthwise_conv2d_quant8_large.mod.py
depthwise_conv2d_quant8_large_weights_as_inputs.mod.py
depthwise_conv2d_quant8_weights_as_inputs.mod.py
dequantize.mod.py
embedding_lookup.mod.py
floor.mod.py
fully_connected_float.mod.py
fully_connected_float_2.mod.py
fully_connected_float_3.mod.py
fully_connected_float_large.mod.py
fully_connected_float_large_weights_as_inputs.mod.py
fully_connected_float_weights_as_inputs.mod.py
fully_connected_quant8.mod.py
fully_connected_quant8_2.mod.py
fully_connected_quant8_large.mod.py
fully_connected_quant8_large_weights_as_inputs.mod.py
fully_connected_quant8_weights_as_inputs.mod.py
hashtable_lookup_float.mod.py
hashtable_lookup_quant8.mod.py
l2_normalization.mod.py
l2_normalization_2.mod.py
l2_normalization_large.mod.py
l2_pool_float.mod.py
l2_pool_float_2.mod.py
l2_pool_float_large.mod.py
local_response_norm_float_1.mod.py
local_response_norm_float_4.mod.py
logistic_float_1.mod.py
logistic_float_2.mod.py
logistic_quant8_1.mod.py
logistic_quant8_2.mod.py
lsh_projection.mod.py
lsh_projection_2.mod.py
lsh_projection_weights_as_inputs.mod.py
lstm.mod.py
lstm2.mod.py
lstm2_state.mod.py
lstm2_state2.mod.py
lstm3.mod.py
lstm3_state.mod.py
lstm3_state2.mod.py
lstm3_state3.mod.py
lstm_state.mod.py
lstm_state2.mod.py
max_pool_float_1.mod.py
max_pool_float_2.mod.py
max_pool_float_3.mod.py
max_pool_float_4.mod.py
max_pool_quant8_1.mod.py
max_pool_quant8_2.mod.py
max_pool_quant8_3.mod.py
max_pool_quant8_4.mod.py
mobilenet_224_gender_basic_fixed.mod.py
mobilenet_quantized.mod.py
mul.mod.py
mul_broadcast_quant8.mod.py
mul_quant8.mod.py
mul_relu.mod.py
relu1_float_1.mod.py
relu1_float_2.mod.py
relu1_quant8_1.mod.py
relu1_quant8_2.mod.py
relu6_float_1.mod.py
relu6_float_2.mod.py
relu6_quant8_1.mod.py
relu6_quant8_2.mod.py
relu_float_1.mod.py
relu_float_2.mod.py
relu_quant8_1.mod.py
relu_quant8_2.mod.py
reshape.mod.py
reshape_quant8.mod.py
reshape_quant8_weights_as_inputs.mod.py
reshape_weights_as_inputs.mod.py
resize_bilinear.mod.py
resize_bilinear_2.mod.py
rnn.mod.py
rnn_state.mod.py
softmax_float_1.mod.py
softmax_float_2.mod.py
softmax_quant8_1.mod.py
softmax_quant8_2.mod.py
space_to_depth_float_1.mod.py
space_to_depth_float_2.mod.py
space_to_depth_float_3.mod.py
space_to_depth_quant8_1.mod.py
space_to_depth_quant8_2.mod.py
svdf.mod.py
svdf2.mod.py
svdf_bias_present.mod.py
svdf_state.mod.py
tanh.mod.py