mindspore:MindSpore是一个新的开源深度学习培训推理框架，可用于移动，边缘和云场景
需积分: 26 12 浏览量
2021-03-18
16:19:53
上传
评论
收藏 270.08MB ZIP 举报
mindspore:MindSpore是一个新的开源深度学习培训推理框架，可用于移动，边缘和云场景 （14125个子文件） 
win_runtest.bat 7KB build.bat 4KB gradlew.bat 2KB gradlew.bat 2KB gradlew.bat 2KB gradlew.bat 2KB gradlew.bat 2KB gradlew.bat 2KB gradlew.bat 2KB gradlew.bat 2KB build.bat 924B bert_examples 13KB test.bin 29.32MB data_batch_1.bin 29.31MB data_batch_1.bin 29.31MB deconv_fp32_nchw_output1.bin 13.92MB conv1x1fp32_output1_nhwc.bin 13.73MB deconv_fp32_nhwc_input1.bin 10.3MB conv1x1fp32_input1_nhwc.bin 8.24MB convDwfp32_input.bin 7.91MB convDwfp32_output.bin 7.91MB convfp32_out_1_128_128_32.bin 2MB convfp32_input_1_128_128_32.bin 2MB max_pool_1_128_128_24.bin 1.5MB avg_pool_1_128_128_24.bin 1.5MB convfp32_input_1_128_128_24.bin 1.5MB convfp32_out_1_127_127_24.bin 1.48MB input_scores.bin 681KB effNet_input_x_1_3_224_224.bin 588KB deconvfp32_dy_d2_g2_s2_2_12_65_65.bin 396KB deconvfp32_dy_d2_g12_s2_2_12_65_65.bin 396KB uint8_out_1_112_112_32.bin 392KB deconvfp32_dy_d2_2_9_65_65.bin 297KB deconvfp32_dy_d2_g3_2_9_65_65.bin 297KB deconvfp32_dy_2_9_63_63.bin 279KB effNet_output_f_1_1280_7_7.bin 245KB biasgradfp32_1_dy_10_28_28_7.bin 214KB uint8_1_224_224_3.bin 147KB x_lenet.bin 128KB train_input_32_1000.bin 125KB convfp32_dy_1_28_28_32.bin 98KB convfp32_out_1_28_28_32.bin 98KB deconvfp32_input0_d2_g12_s2_2_12_32_32.bin 96KB deconvfp32_dy_d2_g3_s1_2_9_34_34.bin 81KB default_boxes.bin 60KB convfp32_dy_g3_1_28_28_18.bin 55KB convfp32_dy_g3_d2_1_26_26_18.bin 48KB convfp32_y_g3_d2_1_26_26_18.bin 48KB deconv_fp32_nchw_weight1.bin 42KB train_weight_10_1000.bin 39KB convfp32_weight_32_3_3_32.bin 36KB deconvfp32_input0_d2_g2_s2_2_4_32_32.bin 32KB convfp32_inputdx_d2_g2_s2_2_4_32_32.bin 32KB convfp32_input0_d2_g2_s2_2_4_32_32.bin 32KB input_boxes.bin 30KB maxpoolgradfp32_1_x_3_28_28_3.bin 28KB avgpoolgradfp32_1_dy_3_28_28_3.bin 28KB avgpoolgradfp32_s2_dx_3_28_28_3.bin 28KB avgpoolgradfp32_s3_x_3_28_28_3.bin 28KB avgpoolgradfp32_1_dx_3_28_28_3.bin 28KB maxpoolgradfp32_s2_xgrad_3_28_28_3.bin 28KB maxpoolgradfp32_s3_x_3_28_28_3.bin 28KB maxpoolgradfp32_1_xgrad_3_28_28_3.bin 28KB avgpoolgradfp32_s2_x_3_28_28_3.bin 28KB avgpoolgradfp32_1_x_3_28_28_3.bin 28KB maxpoolgradfp32_1_dx_3_28_28_3.bin 28KB maxpoolgradfp32_s2_x_3_28_28_3.bin 28KB avgpoolgradfp32_s3_dx_3_28_28_3.bin 28KB maxpoolgradfp32_s3_xgrad_3_28_28_3.bin 28KB maxpoolgradfp32_1_dy_3_28_28_3.bin 28KB uint8_out_1_28_28_32.bin 25KB deconvfp32_input0_d2_g3_2_3_32_32.bin 24KB deconvfp32_input0_d2_g3_s1_2_3_32_32.bin 24KB deconvfp32_input0_2_3_32_32.bin 24KB deconvfp32_input0_d2_2_3_32_32.bin 24KB convfp32_dy_d2_g2_s2_2_12_15_15.bin 21KB maxpoolgradfp32_1_i_1_28_28_3.bin 18KB uint8_1_28_28_16.bin 12KB maxpoolgradfp32_2_x_1_30_30_3.bin 11KB maxpoolgradfp32_2_dx_1_30_30_3.bin 11KB FcFp32_weight1.bin 9KB avgpoolgradfp32_1_dy_1_28_28_3.bin 9KB maxpoolgradfp32_1_dy_1_28_28_3.bin 9KB maxpoolingfp32_out_1_28_28_3.bin 9KB avgpoolgradfp32_1_dx_1_28_28_3.bin 9KB avgpoolingfp32_out_1_28_28_3.bin 9KB maxpoolgradfp32_1_xgrad_1_28_28_3.bin 9KB maxpoolgradfp32_1_x_1_28_28_3.bin 9KB maxpoolgradfp32_1_dx_1_28_28_3.bin 9KB avgpoolgradfp32_1_x_1_28_28_3.bin 9KB convfp32_x_g3_d2_1_28_28_3.bin 9KB convfp32_dx_g3_1_28_28_3.bin 9KB convfp32_dx_1_28_28_3.bin 9KB convfp32_dx_g3_d2_1_28_28_3.bin 9KB convfp32_x_g3_1_28_28_3.bin 9KB convfp32_input_1_3_28_28.bin 9KB softmaxfp32_out_1_28_28_3.bin 9KB convfp32_input_1_28_28_3.bin 9KB convfp32_x_1_28_28_3.bin 9KB convfp32_weight_24_3_3_24.bin 9KB共 14125 条
- 1
- 2
- 3
- 4
- 5
- 6
- 142
资源评论
