/third_party/boost/libs/histogram/benchmark/ |
D | plot_benchmarks.py | 7 from matplotlib import pyplot as plt, lines unknown 36 fig, ax = plt.subplots(4, 1, figsize=(10, 10), sharex=True) 37 plt.subplots_adjust(hspace=0, top=0.98, bottom=0.05, right=0.96) 39 plt.sca(ax[0]) 44 plt.plot(x, y, ".-", label=name) 45 plt.legend(fontsize="xx-small") 47 plt.sca(ax[1]) 52 plt.plot(x, y, ".-", label=name) 53 plt.legend(fontsize="xx-small") 55 plt.sca(ax[2]) [all …]
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/third_party/mindspore/tests/ut/python/dataset/ |
D | util.py | 22 import matplotlib.pyplot as plt namespace 216 plt.subplot(2, num_samples, i + 1) 218 plt.imshow(images_original[i].squeeze(), cmap=plt.cm.gray) 219 plt.title(PLOT_TITLE_DICT[1][0] + ":" + str(labels[i])) 221 plt.subplot(2, num_samples, i + num_samples + 1) 222 plt.imshow(images_transformed[i].squeeze(), cmap=plt.cm.gray) 223 plt.title(PLOT_TITLE_DICT[1][1] + ":" + str(labels[i])) 224 plt.show() 234 plt.subplot(2, num, i + 1) 235 plt.imshow(image_list_1[i]) [all …]
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D | test_datasets_sbd.py | 17 import matplotlib.pyplot as plt namespace 35 plt.imshow(images[i]) 36 plt.title('Original') 37 plt.savefig('./sbd_original_{}.jpg'.format(str(i))) 39 plt.imshow(labels[i]) 40 plt.title(task) 41 plt.savefig('./sbd_segmentation_{}.jpg'.format(str(i))) 45 plt.subplot(subplot_rows, math.ceil(b_num / subplot_rows), j + 1) 46 plt.imshow(labels[i][j]) 47 plt.savefig('./sbd_boundaries_{}.jpg'.format(str(i))) [all …]
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D | test_datasets_flickr.py | 16 import matplotlib.pyplot as plt namespace 31 plt.figure(figsize=(10, 10)) 33 plt.imshow(item[0]) 34 plt.title('\n'.join([s.decode('utf-8') for s in item[1]])) 35 plt.savefig('./flickr_' + str(i) + '.jpg')
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D | test_datasets_div2k.py | 15 import matplotlib.pyplot as plt namespace 51 plt.subplot(121) 52 plt.imshow(hr_images_list[i]) 53 plt.title('Original') 54 plt.subplot(122) 55 plt.imshow(lr_images_list[i]) 56 plt.title(flag) 57 plt.savefig('./div2k_{}_{}.jpg'.format(flag, str(i)))
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D | test_datasets_cityscapes.py | 18 import matplotlib.pyplot as plt namespace 59 plt.subplot(121) 60 plt.imshow(images[i]) 61 plt.title('Original') 62 plt.subplot(122) 63 plt.imshow(labels[i]) 64 plt.title(task) 65 plt.savefig('./cityscapes_{}_{}.jpg'.format(task, str(i)))
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D | test_datasets_mnist.py | 21 import matplotlib.pyplot as plt namespace 52 plt.subplot(1, num_samples, i + 1) 53 plt.imshow(images[i].squeeze(), cmap=plt.cm.gray) 54 plt.title(labels[i]) 55 plt.show()
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D | test_datasets_usps.py | 21 import matplotlib.pyplot as plt namespace 58 plt.subplot(1, num_samples, i + 1) 59 plt.imshow(images[i].squeeze(), cmap=plt.cm.gray) 60 plt.title(labels[i]) 61 plt.show()
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D | test_datasets_sbu.py | 20 import matplotlib.pyplot as plt namespace 60 plt.subplot(1, num_samples, i + 1) 61 plt.imshow(images[i].squeeze()) 62 plt.title(captions[i]) 63 plt.show()
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D | test_datasets_flowers102.py | 20 import matplotlib.pyplot as plt namespace 68 plt.subplot(1, num_samples, i + 1) 69 plt.imshow(images[i].squeeze()) 70 plt.title(labels[i]) 71 plt.show()
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D | test_datasets_cifarop.py | 21 import matplotlib.pyplot as plt namespace 60 plt.subplot(1, num_samples, i + 1) 61 plt.imshow(images[i]) 62 plt.title(labels[i]) 63 plt.show()
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/third_party/boost/libs/histogram/doc/ |
D | iteration_performance.py | 14 import matplotlib.pyplot as plt namespace 32 fig, ax = plt.subplots(1, 3, figsize=(10, 5), sharex=True, sharey=True) 37 plt.suptitle(m.group(1)) 38 plt.subplots_adjust(bottom=0.18, wspace=0, top=0.85, right=0.98, left=0.07) 40 plt.sca(ax[iaxis]) 41 plt.title(axis_type.replace("_", " "), y=1.02) 51 h = plt.plot(v[0], v[1] / v[0], color=col, ls=ls, lw=dim, 55 plt.loglog() 56 plt.sca(ax[0]) 57 plt.ylabel("CPU time in ns per bin") [all …]
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D | fill_performance.py | 19 import matplotlib.pyplot as plt namespace 57 plt.figure(figsize=(7, 6)) 88 plt.gca().add_artist(r1) 89 plt.gca().add_artist(r2) 100 plt.gca().add_artist(tx) 114 plt.gca().add_artist(tx) 115 plt.ylim(0, i) 116 plt.xlim(0, 80) 119 plt.gca().xaxis.set_major_locator(MultipleLocator(5)) 121 plt.tick_params("y", left=False, labelleft=False) [all …]
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/third_party/boost/libs/numeric/ublas/benchmarks/ |
D | plot.py | 11 import matplotlib.pyplot as plt namespace 40 plt.title('Benchmark plot') 41 plt.xlabel('size') 42 plt.ylabel('time (s)') 44 plot = plt.loglog 46 plot = plt.semilogx 48 plot = plt.semilogy 50 plot = plt.plot 52 plt.legend() 53 plt.show()
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/third_party/mindspore/tests/perf_test/mind_expression_perf/ |
D | process_data.py | 19 import matplotlib.pyplot as plt namespace 56 plt.figure(figsize=(height, width)) 62 plt.plot(x, y, linewidth=2, marker='o', markersize=5, label=label) 63 ax = plt.gca() 67 plt.text(x[i], y[i], y[i], ha='center', 70 plt.title(title) 71 plt.xlabel("Date") 72 plt.ylabel("Time(s)") 73 plt.grid() 74 plt.legend() [all …]
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/third_party/boost/libs/numeric/odeint/performance/ |
D | plot_result.py | 11 from matplotlib import pyplot as plt unknown 13 plt.rc("font", size=16) 45 fig = plt.figure() 61 plt.savefig("perf.pdf") 62 plt.savefig("perf.png", dpi=50) 64 plt.show()
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/third_party/gstreamer/gstplugins_bad/gst/jp2kdecimator/ |
D | jp2kcodestream.c | 675 PacketLengthTilePart * plt, guint length) in parse_plt() argument 686 plt->index = gst_byte_reader_get_uint8_unchecked (reader); in parse_plt() 687 plt->packet_lengths = g_array_new (FALSE, FALSE, sizeof (guint32)); in parse_plt() 702 g_array_append_val (plt->packet_lengths, n); in parse_plt() 715 sizeof_plt (GstJP2kDecimator * self, const PacketLengthTilePart * plt) in sizeof_plt() argument 720 n = plt->packet_lengths->len; in sizeof_plt() 722 guint32 len = g_array_index (plt->packet_lengths, guint32, i); in sizeof_plt() 741 reset_plt (GstJP2kDecimator * self, PacketLengthTilePart * plt) in reset_plt() argument 743 if (plt->packet_lengths) in reset_plt() 744 g_array_free (plt->packet_lengths, TRUE); in reset_plt() [all …]
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/third_party/optimized-routines/math/tools/ |
D | plot.py | 9 import matplotlib.pyplot as plt namespace 48 fig, (ax0,ax1) = plt.subplots(nrows=2) 58 plt.show()
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/third_party/elfio/tests/elf_examples/ |
D | hello_64.txt | 43 [ 9] .rela.plt RELA 0000000000400340 00000340 47 [11] .plt PROGBITS 0000000000400388 00000388 69 [22] .got.plt PROGBITS 0000000000600830 00000830 115 …gnu.hash .dynsym .dynstr .gnu.version .gnu.version_r .rela.dyn .rela.plt .init .plt .text .fini .r… 116 03 .ctors .dtors .jcr .dynamic .got .got.plt .data .bss 149 Relocation section '.rela.plt' at offset 0x340 contains 2 entries:
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D | hello_32.txt | 33 [ 9] .rel.plt REL 08048234 000234 000018 08 A 4 11 4 35 [11] .plt PROGBITS 08048264 000264 000040 04 AX 0 0 4 45 [21] .got.plt PROGBITS 0804956c 00056c 000018 04 WA 0 0 4 74 … .gnu.hash .dynsym .dynstr .gnu.version .gnu.version_r .rel.dyn .rel.plt .init .plt .text .fini .r… 75 03 .ctors .dtors .jcr .dynamic .got .got.plt .data .bss 107 Relocation section '.rel.plt' at offset 0x234 contains 3 entries:
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D | test_ppc.txt | 33 [ 9] .rela.plt RELA 10000494 000494 00006c 0c A 4 22 4 46 [22] .plt PROGBITS 10010be4 000be4 000024 00 WA 0 0 4 78 ….ABI-tag .hash .dynsym .dynstr .gnu.version .gnu.version_r .rela.dyn .rela.plt .init .text .fini .… 79 03 .ctors .dtors .jcr .got2 .dynamic .got .plt .data .bss 117 Relocation section '.rela.plt' at offset 0x494 contains 9 entries:
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D | ls.readelf | 45 [10] .rela.plt RELA 00000000004015f8 000015f8 49 [12] .plt PROGBITS 0000000000401ff0 00001ff0 71 [23] .got.plt PROGBITS 0000000000618fe8 00018fe8 115 …gnu.hash .dynsym .dynstr .gnu.version .gnu.version_r .rela.dyn .rela.plt .init .plt .text .fini .r… 116 03 .ctors .dtors .jcr .dynamic .got .got.plt .data .bss 159 Relocation section '.rela.plt' at offset 0x15f8 contains 105 entries:
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/third_party/quickjs/ |
D | cutils.c | 515 uint8_t *ptr, *pi, *pj, *plt, *pgt, *top, *m; in rqsort() local 548 pi = plt = ptr + size; in rqsort() 554 swap(plt, pi, size); in rqsort() 556 plt += size; in rqsort() 584 span = plt - ptr; in rqsort() 585 span2 = pi - plt; in rqsort()
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/third_party/boost/libs/context/src/asm/ |
D | make_riscv64_sysv_elf_gas.S | 87 tail _exit@plt
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/third_party/libffi/src/powerpc/ |
D | asm.h | 119 #define JUMPTARGET(name) name##@plt
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