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/dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/gan/stylegan/
H A Dmodules.py25 def __init__(self, in_channel, out_channel, kernel_size, padding=0): argument
220 self.conv2.add(FusedDownsample(out_channel, out_channel, kernel2, padding=pad2))
226 self.conv2.add(EqualConv2d(out_channel, out_channel, kernel2, padding=pad2))
233 self.conv2.add(EqualConv2d(out_channel, out_channel, kernel2, padding=pad2))
260 self.conv1.add(Blur(out_channel))
268 self.conv1.add(Blur(out_channel))
274 self.noise1 = NoiseInjection(out_channel)
275 self.adain1 = AdaptiveInstanceNorm(out_channel, style_dim)
278 …self.conv2 = EqualConv2d(in_dim=out_channel, out_dim=out_channel, kernel=kernel_size, padding=padd…
279 self.noise2 = NoiseInjection(out_channel)
[all …]
/dports/security/libssh/libssh-0.9.6/src/
H A Dconnector.c56 ssh_channel out_channel; member
131 if (connector->out_channel != NULL) { in ssh_connector_free()
132 ssh_remove_channel_callbacks(connector->out_channel, in ssh_connector_free()
173 connector->out_channel = channel; in ssh_connector_set_out_channel()
196 connector->out_channel = NULL; in ssh_connector_set_out_fd()
255 if (connector->out_channel != NULL) { in ssh_connector_fd_in_cb()
268 if (connector->out_channel != NULL) { in ssh_connector_fd_in_cb()
450 if (connector->out_channel != NULL) { in ssh_connector_channel_data_cb()
572 connector->out_channel == NULL)) { in ssh_connector_set_event()
614 if(connector->out_channel != NULL) { in ssh_connector_set_event()
[all …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/topi/x86/
H A Dconv2d_alter_op.py79 out_channel, _, kh, kw = get_const_tuple(kernel_tensor.shape)
83 new_attrs["channels"] = out_channel
144 new_attrs["channels"] = out_channel
186 new_attrs["channels"] = out_channel
314 out_channel = -1
317 out_channel = kernel_tensor.shape[3].value
320 out_channel = kernel_tensor.shape[0].value
339 new_out_channel = out_channel
340 if out_channel % 16 != 0:
341 new_out_channel = ((out_channel + 16) // 16) * 16
[all …]
/dports/misc/tvm/incubator-tvm-0.6.1/topi/python/topi/testing/
H A Ddepthwise_conv2d_python.py53 out_channel = in_channel * channel_multiplier
56 output_np = np.zeros((batch, out_channel, out_height, out_width))
58 for j in range(out_channel):
63 out_channel = in_channel * channel_multiplier
66 output_np = np.zeros((batch, out_channel, out_height, out_width))
76 for j in range(out_channel):
114 out_channel = in_channel * channel_multiplier
117 output_np = np.zeros((batch, out_height, out_width, out_channel))
119 for j in range(out_channel):
124 out_channel = in_channel * channel_multiplier
[all …]
/dports/multimedia/lives/lives-3.2.0/lives-plugins/weed-plugins/
H A Dmirrors.c35 unsigned char *dst = weed_get_voidptr_value(out_channel, WEED_LEAF_PIXEL_DATA, NULL); in mirrorx_process()
41 int orowstride = weed_get_int_value(out_channel, WEED_LEAF_ROWSTRIDES, NULL); in mirrorx_process()
53 if (weed_plant_has_leaf(out_channel, WEED_LEAF_OFFSET)) { in mirrorx_process()
54 int offset = weed_get_int_value(out_channel, WEED_LEAF_OFFSET, NULL); in mirrorx_process()
55 int dheight = weed_get_int_value(out_channel, WEED_LEAF_HEIGHT, NULL); in mirrorx_process()
75 weed_plant_t *out_channel = weed_get_out_channel(inst, 0); in mirrory_process() local
80 int orowstride = weed_channel_get_stride(out_channel); in mirrory_process()
82 uint8_t *dst = (uint8_t *)weed_channel_get_pixel_data(out_channel); in mirrory_process()
90 if (weed_plant_has_leaf(out_channel, WEED_LEAF_OFFSET)) { in mirrory_process()
91 int offset = weed_get_int_value(out_channel, WEED_LEAF_OFFSET, NULL); in mirrory_process()
[all …]
H A Dalpha_to_grey.c32 *out_channel = weed_get_out_channel(inst, 0); in a2g_process() local
34 unsigned char *dst = weed_channel_get_pixel_data(out_channel); in a2g_process()
36 int width = weed_channel_get_width(out_channel) * 4; in a2g_process()
37 int height = weed_channel_get_height(out_channel); in a2g_process()
40 int orowstride = weed_channel_get_stride(out_channel); in a2g_process()
52 int offset = weed_channel_get_offset(out_channel); in a2g_process()
H A Dnoise.c33 *out_channel = weed_get_plantptr_value(inst, in noise_process() local
38 unsigned char *dst = weed_get_voidptr_value(out_channel, WEED_LEAF_PIXEL_DATA, NULL); in noise_process()
42 int orowstride = weed_get_int_value(out_channel, WEED_LEAF_ROWSTRIDES, NULL); in noise_process()
50 if (weed_plant_has_leaf(out_channel, WEED_LEAF_OFFSET)) { in noise_process()
51 int offset = weed_get_int_value(out_channel, WEED_LEAF_OFFSET, NULL); in noise_process()
52 int dheight = weed_get_int_value(out_channel, WEED_LEAF_HEIGHT, NULL); in noise_process()
H A Dposterise.c30 *out_channel = weed_get_plantptr_value(inst, WEED_LEAF_OUT_CHANNELS, NULL); in posterise_process() local
33 unsigned char *dst = weed_get_voidptr_value(out_channel, WEED_LEAF_PIXEL_DATA, NULL); in posterise_process()
37 int orowstride = weed_get_int_value(out_channel, WEED_LEAF_ROWSTRIDES, NULL); in posterise_process()
51 if (weed_plant_has_leaf(out_channel, WEED_LEAF_OFFSET)) { in posterise_process()
52 int offset = weed_get_int_value(out_channel, WEED_LEAF_OFFSET, NULL); in posterise_process()
53 int dheight = weed_get_int_value(out_channel, WEED_LEAF_HEIGHT, NULL); in posterise_process()
H A Dnegate.c32 *out_channel = weed_get_out_channel(inst, 0); in negate_process() local
34 unsigned char *dst = weed_channel_get_pixel_data(out_channel); in negate_process()
36 int width = weed_channel_get_width(out_channel); in negate_process()
37 int height = weed_channel_get_height(out_channel); in negate_process()
40 int orowstride = weed_channel_get_stride(out_channel); in negate_process()
55 int offset = weed_channel_get_offset(out_channel); in negate_process()
H A DonedTV.c52 weed_plant_t *out_channel; in oned_init() local
57 out_channel = weed_get_plantptr_value(inst, WEED_LEAF_OUT_CHANNELS, NULL); in oned_init()
59 map_h = weed_get_int_value(out_channel, WEED_LEAF_HEIGHT, NULL); in oned_init()
60 map_w = weed_get_int_value(out_channel, WEED_LEAF_ROWSTRIDES, NULL); in oned_init()
92 weed_plant_t *in_channel, *out_channel; in oned_process() local
104 out_channel = weed_get_plantptr_value(inst, WEED_LEAF_OUT_CHANNELS, NULL); in oned_process()
109 dest = weed_get_voidptr_value(out_channel, WEED_LEAF_PIXEL_DATA, NULL); in oned_process()
115 orow = weed_get_int_value(out_channel, WEED_LEAF_ROWSTRIDES, NULL); in oned_process()
H A Dtargeted_zoom.c33 weed_plant_t *out_channel = weed_get_out_channel(inst, 0); in tzoom_process() local
36 unsigned char *dst = weed_channel_get_pixel_data(out_channel); in tzoom_process()
44 int orowstride = weed_channel_get_stride(out_channel); in tzoom_process()
73 if (weed_plant_has_leaf(out_channel, WEED_LEAF_OFFSET)) { in tzoom_process()
74 offset = weed_get_int_value(out_channel, WEED_LEAF_OFFSET, NULL); in tzoom_process()
75 dheight = weed_get_int_value(out_channel, WEED_LEAF_HEIGHT, NULL) + offset; in tzoom_process()
H A Dlayout_blends.c31 *out_channel = weed_get_plantptr_value(inst, in common_process() local
36 unsigned char *dst = weed_get_voidptr_value(out_channel, WEED_LEAF_PIXEL_DATA, NULL); in common_process()
42 int orowstride = weed_get_int_value(out_channel, WEED_LEAF_ROWSTRIDES, NULL); in common_process()
45 int palette = weed_get_int_value(out_channel, WEED_LEAF_CURRENT_PALETTE, NULL); in common_process()
95 if (weed_plant_has_leaf(out_channel, WEED_LEAF_OFFSET)) { in common_process()
96 int offset = weed_get_int_value(out_channel, WEED_LEAF_OFFSET, NULL); in common_process()
97 int dheight = weed_get_int_value(out_channel, WEED_LEAF_HEIGHT, NULL); in common_process()
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/topi/testing/
H A Ddepthwise_conv2d_python.py54 out_channel = in_channel * channel_multiplier
57 output_np = np.zeros((batch, out_channel, out_height, out_width))
59 for j in range(out_channel):
69 out_channel = in_channel * channel_multiplier
72 output_np = np.zeros((batch, out_channel, out_height, out_width))
84 for j in range(out_channel):
125 out_channel = in_channel * channel_multiplier
128 output_np = np.zeros((batch, out_height, out_width, out_channel))
130 for j in range(out_channel):
140 out_channel = in_channel * channel_multiplier
[all …]
/dports/misc/py-tvm/incubator-tvm-0.6.1/topi/python/topi/testing/
H A Ddepthwise_conv2d_python.py53 out_channel = in_channel * channel_multiplier
56 output_np = np.zeros((batch, out_channel, out_height, out_width))
58 for j in range(out_channel):
63 out_channel = in_channel * channel_multiplier
66 output_np = np.zeros((batch, out_channel, out_height, out_width))
76 for j in range(out_channel):
114 out_channel = in_channel * channel_multiplier
117 output_np = np.zeros((batch, out_height, out_width, out_channel))
119 for j in range(out_channel):
124 out_channel = in_channel * channel_multiplier
[all …]
/dports/lang/ocaml/ocaml-4.05.0/lex/
H A Dcommon.mli17 val open_tracker : string -> out_channel -> line_tracker
20 in_channel -> out_channel -> line_tracker -> Syntax.location -> bool -> unit
21 val output_mem_access : out_channel -> int -> unit
23 string -> out_channel -> Lexgen.memory_action list -> unit
25 in_channel -> out_channel -> line_tracker ->
27 val output_args : out_channel -> string list -> unit
29 in_channel -> out_channel -> line_tracker -> Syntax.location option -> bool
/dports/lang/ocaml-nox11/ocaml-4.05.0/lex/
H A Dcommon.mli17 val open_tracker : string -> out_channel -> line_tracker
20 in_channel -> out_channel -> line_tracker -> Syntax.location -> bool -> unit
21 val output_mem_access : out_channel -> int -> unit
23 string -> out_channel -> Lexgen.memory_action list -> unit
25 in_channel -> out_channel -> line_tracker ->
27 val output_args : out_channel -> string list -> unit
29 in_channel -> out_channel -> line_tracker -> Syntax.location option -> bool
/dports/misc/tvm/incubator-tvm-0.6.1/topi/python/topi/x86/
H A Dconv2d_alter_op.py49 kh, kw, _, out_channel = get_const_tuple(kernel_tensor.shape)
52 out_channel, _, kh, kw = get_const_tuple(kernel_tensor.shape)
69 new_attrs['channels'] = out_channel
138 new_kernel = tvm.placeholder((out_channel // oc_bn,
268 out_channel = -1
271 out_channel = kernel_tensor.shape[3].value
274 out_channel = kernel_tensor.shape[0].value
293 new_out_channel = out_channel
294 if out_channel % 16 != 0:
295 new_out_channel = ((out_channel + 16) // 16) * 16
[all …]
/dports/misc/py-tvm/incubator-tvm-0.6.1/topi/python/topi/x86/
H A Dconv2d_alter_op.py49 kh, kw, _, out_channel = get_const_tuple(kernel_tensor.shape)
52 out_channel, _, kh, kw = get_const_tuple(kernel_tensor.shape)
69 new_attrs['channels'] = out_channel
138 new_kernel = tvm.placeholder((out_channel // oc_bn,
268 out_channel = -1
271 out_channel = kernel_tensor.shape[3].value
274 out_channel = kernel_tensor.shape[0].value
293 new_out_channel = out_channel
294 if out_channel % 16 != 0:
295 new_out_channel = ((out_channel + 16) // 16) * 16
[all …]
/dports/www/geneweb/geneweb-13c850a0cc3973daf7ae3e0772a1621f84052041/src/
H A Diovalue.mli5 value output : out_channel -> 'a -> unit;
17 value create_output_value_header : out_channel -> header_pos;
18 value patch_output_value_header : out_channel -> header_pos -> int;
36 value out_channel_funs : out_funs out_channel;
38 value output_block_header : out_channel -> int -> int -> unit;
42 value output_array_access : out_channel -> (int -> 'a) -> int -> int -> int;
/dports/textproc/hevea/hevea-2.34/
H A Dpp.mli15 val ptree : out_channel -> Lexeme.style Tree.t -> unit
16 val ptrees : out_channel -> Lexeme.style Tree.t list -> unit
18 val tree : out_channel -> Htmltext.style Tree.t -> unit
19 val trees : out_channel -> Htmltext.style Tree.t list -> unit
21 val styles : out_channel -> Css.id list -> unit
/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/tests/python/compiler/
H A Dtest_nhwc_layout.py50 out_channel = 8
51 nchw_sym = get_sym("NCHW", "OIHW", out_channel)
52 nhwc_sym = get_sym("NHWC", "HWIO", out_channel)
53 conv_weight = np.random.uniform(-1, 1, (out_channel, 3, 3, 3)).astype(np.float32)
54 conv_bias = np.random.uniform(-1, 1, (out_channel)).astype(np.float32)
65 oshape = (1, out_channel, 224, 224)
66 oshape_nhwc = (1, 224, 224, out_channel)
/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/tests/python/compiler/
H A Dtest_nhwc_layout.py50 out_channel = 8
51 nchw_sym = get_sym("NCHW", "OIHW", out_channel)
52 nhwc_sym = get_sym("NHWC", "HWIO", out_channel)
53 conv_weight = np.random.uniform(-1, 1, (out_channel, 3, 3, 3)).astype(np.float32)
54 conv_bias = np.random.uniform(-1, 1, (out_channel)).astype(np.float32)
65 oshape = (1, out_channel, 224, 224)
66 oshape_nhwc = (1, 224, 224, out_channel)
/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/tvm_cnnlayer/
H A Dmb1_tuned_latest.py79 def convert_output(a_np, batch, out_channel,output_height,output_width,vlen): argument
80 to_return = np.zeros((batch, out_channel,output_height, output_width), dtype = float)
82 for j in range(math.ceil(out_channel/vlen)):
96 def convert_weight(w_np, in_channel, out_channel, kernel_height, kernel_width, vlen,W): argument
99 for i in range(math.ceil(out_channel/vlen)):
105 if i*vlen + n >= out_channel or j*vlen + m >= in_channel:
132 ofh, stride_height, out_channel,output_height, output_width, in_channel): argument
275 B1 = tvm.compute((batch, math.ceil(out_channel/ofmblock),ofh, ofw,ofmblock),
282 B1 = tvm.compute((batch, math.ceil(out_channel/ofmblock),ofh, ofw,ofmblock),
348 out_channel = _resnet_layers[layer][1]
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/dports/lang/ocaml-nox11/ocaml-4.05.0/stdlib/
H A Dspacetime.ml25 channel : out_channel;
29 external write_magic_number : out_channel -> unit
33 external register_channel_for_spacetime : out_channel -> unit
53 external save_event : ?time:float -> out_channel -> event_name:string -> unit
61 external save_trie : ?time:float -> out_channel -> unit
74 external take : ?time:float -> out_channel -> unit
/dports/lang/ocaml/ocaml-4.05.0/stdlib/
H A Dspacetime.ml25 channel : out_channel;
29 external write_magic_number : out_channel -> unit
33 external register_channel_for_spacetime : out_channel -> unit
53 external save_event : ?time:float -> out_channel -> event_name:string -> unit
61 external save_trie : ?time:float -> out_channel -> unit
74 external take : ?time:float -> out_channel -> unit

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