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/third_party/mindspore/mindspore-src/source/tests/st/ops/
Dtest_func_interpolate.py28 …def construct(self, x, size=None, scale_factor=None, align_corners=None, recompute_scale_factor=No… argument
29 … return ops.interpolate(x, size, scale_factor, self.mode, align_corners, recompute_scale_factor)
45 2. 3D scale_factor
62 # 2. 3D(1, 3, 4) scale_factor=0.3
66 scale_factor = 0.3
67 output_3d_2 = net(Tensor(input_3d), scale_factor=scale_factor)
84 2. 4D scale_factor
109 # 2. 4D(1, 3, 3, 5) scale_factor=(1.5, 0.4)
116 scale_factor = (1.5, 0.4)
117 output_4d_2 = net(Tensor(input_4d), scale_factor=scale_factor)
[all …]
Dtest_func_upsample.py28 …def construct(self, x, size=None, scale_factor=None, align_corners=None, recompute_scale_factor=No… argument
29 return ops.upsample(x, size, scale_factor, self.mode, align_corners, recompute_scale_factor)
45 2. 3D scale_factor
62 # 2. 3D(1, 3, 4) scale_factor=0.3
66 scale_factor = 0.3
67 output_3d_2 = net(Tensor(input_3d), scale_factor=scale_factor)
85 3. 4D scale_factor recompute_scale_factor=True
128 # 3. scale_factor=(0.5, 1.5), recompute_scale_factor=True
129 scale_factor = (0.5, 1.5)
135 output_4d_3 = net(Tensor(input_4d), scale_factor=scale_factor, recompute_scale_factor=True)
Dtest_ops_upsample_bilinear2d.py26 def upsample_bilinear2d_forward_func(x, size=None, scale_factor=None, align_corners=False): argument
27 return mint.nn.functional.interpolate(x, size, scale_factor, "bilinear", align_corners)
31 def upsample_bilinear2d_backward_func(x, size=None, scale_factor=None, align_corners=False): argument
32 return ops.grad(upsample_bilinear2d_forward_func, (0,))(x, size, scale_factor, align_corners)
Dtest_ops_upsample_linear1d.py26 def upsample_linear1d_forward_func(x, size=None, scale_factor=None, align_corners=False): argument
27 return mint.nn.functional.interpolate(x, size, scale_factor, "linear", align_corners)
31 def upsample_linear1d_backward_func(x, size=None, scale_factor=None, align_corners=False): argument
32 return ops.grad(upsample_linear1d_forward_func, (0,))(x, size, scale_factor, align_corners)
Dtest_ops_upsample_trilinear3d.py26 def upsample_trilinear3d_forward_func(x, size=None, scale_factor=None, align_corners=False): argument
27 return mint.nn.functional.interpolate(x, size, scale_factor, "trilinear", align_corners)
31 def upsample_trilinear3d_backward_func(x, size=None, scale_factor=None, align_corners=False): argument
32 return ops.grad(upsample_trilinear3d_forward_func, (0,))(x, size, scale_factor, align_corners)
36 def upsample_trilinear3d_grad(gradOut, input_size, output_size, scale_factor): argument
38 return op(gradOut, input_size, output_size, scale_factor)
/third_party/mindspore/mindspore-src/source/mindspore/lite/src/litert/kernel/opencl/cl/
Dresize.cl6 int4 in_size, int4 out_size, float2 scale_factor) {
15 int src_x = (int)(X * scale_factor.x);
16 int src_y = (int)(Y * scale_factor.y);
22 int4 in_size, int4 out_size, float2 scale_factor) {
29 int src_x = (int)(X * scale_factor.x);
30 int src_y = (int)(Y * scale_factor.y);
36 int4 out_size, float2 scale_factor) {
45 float scale_x = X * scale_factor.x;
46 float scale_y = Y * scale_factor.y;
61 int4 out_size, float2 scale_factor) {
[all …]
/third_party/mindspore/mindspore-src/source/docs/api/api_python/ops/
Dmindspore.ops.func_interpolate.rst4 .. py:function:: mindspore.ops.interpolate(input, size=None, scale_factor=None, mode="nearest", ali…
6 按照给定的 `size` 或 `scale_factor` 根据 `mode` 设置的插值方式，对输入 `input` 调整大小。
10 …标大小。如果 `size` 为tuple或list，那么其长度应该和 `input` 去掉 `N, C` 的维度相同。 `size` 和 `scale_factor` 同时只能指定一个。默认值： …
11 …scale_factor** (Union[float, tuple[float], list[float]]，可选) - 每个维度的缩放系数。如果 `scale_factor` 为tuple或l…
25 …** (bool, 可选) - 重计算 `scale_factor` 。如果为True，会使用参数 `scale_factor` 计算参数 `size`，最终使用 `size` 的值进行缩放。如果…
32 | mode | input.dim | align_corners | scale_factor | device |
68 - **ValueError** - `size` 和 `scale_factor` 都不为空。
69 - **ValueError** - `size` 和 `scale_factor` 都为空。
71 - **ValueError** - `scale_factor` 为元组或列表类型时长度不等于 `input.ndim - 2` 。
75 - **ValueError** - `scale_factor` 不在对应的支持列表中。
/third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/gpu/kernel/cuda_impl/cuda_ops/
Dfft_with_size_impl.cuh62 …PORT cudaError_t CalculateFFT(cufftComplex *x_ptr, cufftComplex *y_ptr, const double &scale_factor,
67 … const double &scale_factor, const int &y_elements, cufftHandle cufft_plan,
71 …ORT cudaError_t CalculateIFFT(cufftComplex *x_ptr, cufftComplex *y_ptr, const double &scale_factor,
76 … const double &scale_factor, const int &y_elements, cufftHandle cufft_plan,
81 … const bool &is_onesided, const double &scale_factor, const int &x_elements,
86 … const bool &is_onesided, const double &scale_factor, const int &x_elements,
91 … const bool &is_onesided, const double &scale_factor, const int &x_elements,
96 … const bool &is_onesided, const double &scale_factor, const int &x_elements,
Dfft_with_size_impl.cu24 if (scale_factor != 1.0) { \
25 auto alpha = static_cast<real>(scale_factor); \
32 cudaError_t CalculateFFT(cufftComplex *x_ptr, cufftComplex *y_ptr, const double &scale_factor, cons… in CalculateFFT() argument
42 …or_t CalculateFFT(cufftDoubleComplex *x_ptr, cufftDoubleComplex *y_ptr, const double &scale_factor, in CalculateFFT() argument
52 cudaError_t CalculateIFFT(cufftComplex *x_ptr, cufftComplex *y_ptr, const double &scale_factor, con… in CalculateIFFT() argument
62 …r_t CalculateIFFT(cufftDoubleComplex *x_ptr, cufftDoubleComplex *y_ptr, const double &scale_factor, in CalculateIFFT() argument
97 const double &scale_factor, const int &x_elements, const int &y_elements, in CalculateRFFT() argument
114 const double &scale_factor, const int &x_elements, const int &y_elements, in CalculateRFFT() argument
131 … const double &scale_factor, const int &x_elements, const int &y_elements, cufftHandle cufft_plan, in CalculateIRFFT() argument
150 const double &scale_factor, const int &x_elements, const int &y_elements, in CalculateIRFFT() argument
/third_party/mindspore/mindspore-src/source/tests/st/nn/
Dtest_upsample.py35 2. 3D scale_factor
52 # 2. 3D(1, 3, 4) scale_factor=0.3
56 scale_factor = 0.3
57 net = nn.Upsample(mode="area", scale_factor=scale_factor)
76 3. 4D scale_factor recompute_scale_factor=True
120 # 3. scale_factor=(0.5, 1.5), recompute_scale_factor=True
121 scale_factor = (0.5, 1.5)
127 net = nn.Upsample(mode="bilinear", scale_factor=scale_factor, recompute_scale_factor=True)
/third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/train/
Dloss_scale_manager.py128 scale_factor (int): Coefficient of increase and decrease. Default: ``2`` .
147 scale_factor=2, argument
154 if scale_factor <= 0:
155 … raise ValueError("The argument 'scale_factor' must be > 0, but got {}".format(scale_factor))
156 self.scale_factor = scale_factor
157 self.increase_ratio = scale_factor
158 self.decrease_ratio = 1 / scale_factor
213 return nn.DynamicLossScaleUpdateCell(self.loss_scale, self.scale_factor, self.scale_window)
/third_party/mindspore/mindspore-src/source/docs/api/api_python/nn/
Dmindspore.nn.DynamicLossScaleUpdateCell.rst4 .. py:class:: mindspore.nn.DynamicLossScaleUpdateCell(loss_scale_value, scale_factor, scale_window)
8 …练步骤中，当出现溢出时，通过计算公式 `loss_scale`/`scale_factor` 减小损失缩放系数。如果连续 `scale_window` 步（step）未溢出，则将通过 `loss_…
14 - **scale_factor** (int) - 增减系数。
/third_party/mindspore/mindspore-src/source/docs/api/api_python/amp/
Dmindspore.amp.DynamicLossScaler.rst4 .. py:class:: mindspore.amp.DynamicLossScaler(scale_value, scale_factor, scale_window)
8 …出的情况下，`scale_value` 将会每间隔 `scale_window` 步被扩大 `scale_factor` 倍，若存在溢出情况，则会将 `scale_value` 缩小 `scale…
15 - **scale_factor** (int) - 放大/缩小倍数。
Dmindspore.amp.DynamicLossScaleManager.rst4 .. py:class:: mindspore.amp.DynamicLossScaleManager(init_loss_scale=2 ** 24, scale_factor=2, scale_…
10 - **scale_factor** (int) - 放大/缩小倍数。默认值： ``2`` 。
/third_party/ffmpeg/libavcodec/
Dsbc.c91 bitneed[ch][sb] = frame->scale_factor[ch][sb]; in ff_sbc_calculate_bits()
97 if (frame->scale_factor[ch][sb] == 0) in ff_sbc_calculate_bits()
101 loudness = frame->scale_factor[ch][sb] - sbc_offset4[sf][sb]; in ff_sbc_calculate_bits()
103 loudness = frame->scale_factor[ch][sb] - sbc_offset8[sf][sb]; in ff_sbc_calculate_bits()
173 bitneed[ch][sb] = frame->scale_factor[ch][sb]; in ff_sbc_calculate_bits()
181 if (frame->scale_factor[ch][sb] == 0) in ff_sbc_calculate_bits()
185 loudness = frame->scale_factor[ch][sb] - sbc_offset4[sf][sb]; in ff_sbc_calculate_bits()
187 loudness = frame->scale_factor[ch][sb] - sbc_offset8[sf][sb]; in ff_sbc_calculate_bits()
Dsbcdsp.c271 uint32_t scale_factor[2][8], in sbc_calc_scalefactors()
283 scale_factor[ch][sb] = (31 - SCALE_OUT_BITS) - ff_clz(x); in sbc_calc_scalefactors()
289 uint32_t scale_factor[2][8], in sbc_calc_scalefactors_j()
308 scale_factor[0][sb] = (31 - SCALE_OUT_BITS) - ff_clz(x); in sbc_calc_scalefactors_j()
309 scale_factor[1][sb] = (31 - SCALE_OUT_BITS) - ff_clz(y); in sbc_calc_scalefactors_j()
328 scale_factor[0][sb] = (31 - SCALE_OUT_BITS) - in sbc_calc_scalefactors_j()
330 scale_factor[1][sb] = (31 - SCALE_OUT_BITS) - in sbc_calc_scalefactors_j()
346 if ((scale_factor[0][sb] + scale_factor[1][sb]) > x + y) { in sbc_calc_scalefactors_j()
348 scale_factor[0][sb] = x; in sbc_calc_scalefactors_j()
349 scale_factor[1][sb] = y; in sbc_calc_scalefactors_j()
Dg722dec.c67 c->band[0].scale_factor = 8; in g722_decode_init()
68 c->band[1].scale_factor = 2; in g722_decode_init()
115 rlow = av_clip_intp2((c->band[0].scale_factor * quantizer_table[ilow] >> 10) in g722_decode_frame()
120 dhigh = c->band[1].scale_factor * ff_g722_high_inv_quant[ihigh] >> 10; in g722_decode_frame()
Dg722enc.c66 c->band[0].scale_factor = 8; in g722_encode_init()
67 c->band[1].scale_factor = 2; in g722_encode_init()
149 int pred = 141 * state->scale_factor >> 8; in encode_high()
161 if (limit > low_quant[8] * state->scale_factor) in encode_low()
163 while (i < 29 && limit > low_quant[i] * state->scale_factor) in encode_low()
220 decoded = av_clip_intp2((cur_node->state.scale_factor * in g722_encode_trellis()
277 dhigh = cur_node->state.scale_factor * in g722_encode_trellis()
329 ff_g722_update_high_predictor(&c->band[1], c->band[1].scale_factor * in encode_byte()
Dsbcenc.c149 put_bits(&pb, 4, frame->scale_factor[ch][sb] & 0x0F); in sbc_pack_frame()
151 crc_header[crc_pos >> 3] |= frame->scale_factor[ch][sb] & 0x0F; in sbc_pack_frame()
167 (32 - (frame->scale_factor[ch][sb] + in sbc_pack_frame()
170 (frame->scale_factor[ch][sb] + in sbc_pack_frame()
312 frame->scale_factor, in sbc_encode_frame()
317 frame->scale_factor, in sbc_encode_frame()
Dsbcdsp.h70 uint32_t scale_factor[2][8],
74 uint32_t scale_factor[2][8],
/third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/
Damp.py196 ... scale_mul_factor = self.scale_value * self.scale_factor
322 scale_factor (int): The scale factor.
333 >>> loss_scaler = amp.DynamicLossScaler(scale_value=2**10, scale_factor=2, scale_window=1)
343 def __init__(self, scale_value, scale_factor, scale_window): argument
349 self.scale_factor = validator.check_positive_int(scale_factor, "scale_factor")
398 scale_mul_factor = self.scale_value * self.scale_factor
407 ops.maximum(one, self.scale_value / self.scale_factor))
/third_party/ffmpeg/libavfilter/
Dvf_sr.c40 int scale_factor; member
54 …{ "scale_factor", "scale factor for SRCNN model", OFFSET(scale_factor), AV_OPT_TYPE_INT, { .i64 = …
107 outlink->w = out_width * ctx->scale_factor; in config_output()
108 outlink->h = out_height * ctx->scale_factor; in config_output()
/third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/nn/wrap/
Dloss_scale.py93 In each training step, the loss scaling value will be decreased by `loss_scale`/`scale_factor`
94 …when there is an overflow. And it will be increased by `loss_scale` * `scale_factor` if there is no
102 scale_factor (int): Coefficient of increase and decrease.
136 …>>> manager = nn.DynamicLossScaleUpdateCell(loss_scale_value=2**12, scale_factor=2, scale_window=1…
145 scale_factor, argument
150 self.scale_factor = Tensor(scale_factor, dtype=mstype.float32)
174 …>>> manager = nn.DynamicLossScaleUpdateCell(loss_scale_value=212, scale_factor=2, scale_window=100…
183 …_on_overflow = self.select(overflow_cond, self.max(loss_scale * self.reciprocal(self.scale_factor),
190 scale_mul_res = loss_scale_on_overflow * self.scale_factor
330 …>>> manager = nn.DynamicLossScaleUpdateCell(loss_scale_value=2**12, scale_factor=2, scale_window=1…
/third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/ops/function/
Dnn_func.py2214 def _interpolate_scale_factor_convert_size(shape, scale_factor): argument
2216 convert scale_factor to size
2219 y = tuple_to_tensor_(scale_factor, mstype.float32)
2236 def _interpolate_scale_factor_check_with_rank(scale_factor, input_rank): argument
2238 scale_factor rank check
2240 if len(scale_factor) != input_rank - 2:
2242 f"For 'interpolate', 'input' and 'scale_factor' must have the same spatial dimensions, "
2243 f"but got 'input' is {input_rank - 2}D, 'scale_factor' is {len(scale_factor)}D"
2267 def _interpolate_scale_factor_check(scale_factor, mode, rank, supported_dict): argument
2269 scale_factor check
[all …]
/third_party/skia/m133/third_party/externals/harfbuzz/src/
Dhb-cairo.cc507 unsigned scale_factor = hb_cairo_font_face_get_scale_factor (font_face); in hb_cairo_init_scaled_font() local
508 if (scale_factor) in hb_cairo_init_scaled_font()
513 round (font_matrix.xx * scale_factor), in hb_cairo_init_scaled_font()
514 round (font_matrix.yy * scale_factor)); in hb_cairo_init_scaled_font()
807 * @scale_factor: The scale factor to use. See below
826 * @scale_factor times the xx and yy elements of the scale-matrix
848 unsigned int scale_factor) in hb_cairo_font_face_set_scale_factor() argument
852 (void *) (uintptr_t) scale_factor, in hb_cairo_font_face_set_scale_factor()
922 * the @scale_factor argument.

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