/dports/graphics/krita/krita-4.4.8/libs/widgetutils/xmlgui/ |
H A D | kgesture.cpp | 219 const QPolygon &o_shape = other.d->m_shape; in distance() local 252 ox = o_shape[0].x(); in distance() 253 oy = o_shape[0].y(); in distance() 255 omx = (o_shape[1].x() - ox) / strokeLength; in distance() 256 omy = (o_shape[1].y() - oy) / strokeLength; in distance() 290 oxB = o_shape[opointIndexB].x(); in distance() 291 oyB = o_shape[opointIndexB].y(); in distance() 318 oxB = o_shape[opointIndexB].x(); in distance() 319 oyB = o_shape[opointIndexB].y(); in distance() 337 ox = o_shape[opointIndex].x(); in distance() [all …]
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/dports/misc/tvm/incubator-tvm-0.6.1/topi/recipe/conv/ |
H A D | test_conv_int8_intel.py | 80 o_shape = (1, out_filter//NUM_VEC_LANES, out_height, out_width, NUM_VEC_LANES) 81 return (data_shape, kernel_shape, o_shape) 91 (data_shape, kernel_shape, o_shape) = get_shape(im_height, im_width, in_filter, 109 c_orig = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX) 110 c_sch = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX)
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H A D | test_conv_int8_arm.py | 79 o_shape = (1, out_filter//NUM_VEC_LANES, out_height, out_width, NUM_VEC_LANES) 80 return (data_shape, kernel_shape, o_shape) 90 (data_shape, kernel_shape, o_shape) = get_shape(im_height, im_width, in_filter, 108 c_orig = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX) 109 c_sch = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX)
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/apps/topi_recipe/conv/ |
H A D | test_conv_int8_intel.py | 97 o_shape = (1, out_filter // NUM_VEC_LANES, out_height, out_width, NUM_VEC_LANES) 98 return (data_shape, kernel_shape, o_shape) 120 (data_shape, kernel_shape, o_shape) = get_shape( 148 c_orig = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX) 149 c_sch = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX)
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H A D | test_conv_int8_arm.py | 96 o_shape = (1, out_filter // NUM_VEC_LANES, out_height, out_width, NUM_VEC_LANES) 97 return (data_shape, kernel_shape, o_shape) 119 (data_shape, kernel_shape, o_shape) = get_shape( 147 c_orig = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX) 148 c_sch = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX)
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/dports/misc/py-tvm/incubator-tvm-0.6.1/topi/recipe/conv/ |
H A D | test_conv_int8_intel.py | 80 o_shape = (1, out_filter//NUM_VEC_LANES, out_height, out_width, NUM_VEC_LANES) 81 return (data_shape, kernel_shape, o_shape) 91 (data_shape, kernel_shape, o_shape) = get_shape(im_height, im_width, in_filter, 109 c_orig = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX) 110 c_sch = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX)
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H A D | test_conv_int8_arm.py | 79 o_shape = (1, out_filter//NUM_VEC_LANES, out_height, out_width, NUM_VEC_LANES) 80 return (data_shape, kernel_shape, o_shape) 90 (data_shape, kernel_shape, o_shape) = get_shape(im_height, im_width, in_filter, 108 c_orig = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX) 109 c_sch = tvm.nd.array(np.zeros(o_shape, dtype=out_dtype), CTX)
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/dports/graphics/opendx/dx-4.4.4/src/exec/hwrender/ |
H A D | hwTexture.c | 314 int n, o_n, rank, o_rank, shape[32], o_shape[32]; in _getTexture_Field() local 361 DXGetArrayInfo(opac, &o_n, &o_type, &o_cat, &o_rank, o_shape); in _getTexture_Field() 379 (o_rank == 0 || (o_rank == 1 && o_shape[0] == 1) )) ) { in _getTexture_Field() 421 (o_rank == 0 || (o_rank == 1 && o_shape[0] == 1) )) ) { in _getTexture_Field() 458 (o_rank == 0 || (o_rank == 1 && o_shape[0] == 1) )) ) { in _getTexture_Field() 507 int n, o_n, rank, o_rank, shape[32], o_shape[32], counts[2]; in _getTexture_CompositeField() local 592 DXGetArrayInfo(opac, &o_n, &o_type, &o_cat, &o_rank, o_shape); in _getTexture_CompositeField() 616 (o_rank == 0 || (o_rank == 1 && o_shape[0] == 1) )) ) { in _getTexture_CompositeField() 651 (o_rank == 0 || (o_rank == 1 && o_shape[0] == 1) )) ) { in _getTexture_CompositeField() 692 (o_rank == 0 || (o_rank == 1 && o_shape[0] == 1) )) ) { in _getTexture_CompositeField()
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/dports/graphics/gegl/gegl-0.4.34/opencl/ |
H A D | vignette.cl | 11 int o_shape, 35 switch (o_shape)
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/dports/devel/py-tables/tables-3.6.1/tables/ |
H A D | expression.py | 498 o_shape = list(out.shape) 500 o_start, o_stop, o_step = s.indices(o_shape[o_maindim]) 501 o_shape[o_maindim] = min(o_shape[o_maindim], 505 tr_oshape = list(o_shape) # this implies a copy
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/dports/devel/py-pyopencl/pyopencl-2018.2/pyopencl/compyte/ndarray/ |
H A D | test_gpu_elemwise.py | 80 o_shape = [] 82 o_shape.append(max(shape1[i], shape2[i])) 83 o = gpu_ndarray.empty(o_shape, dtype=(a_cpu + b_cpu).dtype)
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/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/testing/ |
H A D | check_computation.py | 220 for i, (o_shape, o_dtype) in enumerate(zip(output_shapes, output_dtypes)): 221 res.append(module.get_output(i, tvm.nd.empty(o_shape, o_dtype)).asnumpy())
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/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/testing/ |
H A D | check_computation.py | 220 for i, (o_shape, o_dtype) in enumerate(zip(output_shapes, output_dtypes)): 221 res.append(module.get_output(i, tvm.nd.empty(o_shape, o_dtype)).asnumpy())
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/dports/math/py-theano/Theano-1.0.5/theano/ |
H A D | gradient.py | 1153 o_shape = orig_output_v.shape 1155 if o_shape != g_shape: 1158 str(o_shape) + " on an output of shape " +
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/dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/relay/ |
H A D | test_op_level2.py | 523 o_shape = (1, 500) 528 assert yy.checked_type == relay.TensorType(o_shape, dtype) 531 ref_res = x_data.flatten().reshape(o_shape)
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/dports/misc/tvm/incubator-tvm-0.6.1/tests/python/relay/ |
H A D | test_op_level2.py | 523 o_shape = (1, 500) 528 assert yy.checked_type == relay.TensorType(o_shape, dtype) 531 ref_res = x_data.flatten().reshape(o_shape)
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/dports/math/libpgmath/flang-d07daf3/tools/flang1/flang1exe/ |
H A D | ast.c | 2272 reduc_shape(int o_shape, int astdim, int after) in reduc_shape() argument 2280 o_ndim = SHD_NDIM(o_shape); in reduc_shape() 2313 add_shape_spec((int)SHD_LWB(o_shape, i), (int)SHD_UPB(o_shape, i), in reduc_shape() 2314 (int)SHD_STRIDE(o_shape, i)); in reduc_shape() 2329 increase_shape(int o_shape, int astdim, int ub, int after) in increase_shape() argument 2337 if (o_shape == 0) { in increase_shape() 2342 o_ndim = SHD_NDIM(o_shape); in increase_shape() 2371 add_shape_spec((int)SHD_LWB(o_shape, i), (int)SHD_UPB(o_shape, i), in increase_shape() 2372 (int)SHD_STRIDE(o_shape, i)); in increase_shape()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/relay/ |
H A D | test_op_level2.py | 1146 o_shape = (1, 500) 1151 assert yy.checked_type == relay.TensorType(o_shape, dtype) 1154 ref_res = x_data.flatten().reshape(o_shape)
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/onnx/ |
H A D | test_forward.py | 2288 def verify_batch_norm_dynamic_subgraph(in_shape, o_shape): argument 2300 helper.make_tensor_value_info("in", TensorProto.FLOAT, list(o_shape)), 2311 inshapes = [in_shape, o_shape, in_shape[1], in_shape[1], in_shape[1], in_shape[1]]
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/dports/science/dynare/dynare-4.6.4/preprocessor/src/ |
H A D | DynareBison.yy | 1882 | o_shape 1898 | o_shape 3254 o_shape : SHAPE EQUAL prior_distribution { driver.prior_shape = $3; };
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/dports/math/py-theano/Theano-1.0.5/theano/tensor/tests/ |
H A D | test_opt.py | 1522 o_shape = tensor.set_subtensor(x[::, sub], 1524 f_shape = theano.function([x, y], o_shape, mode=mode) 1553 o_shape = tensor.set_subtensor(sub, 1555 f_shape = theano.function([x, y], o_shape)
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