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Results 31 - 40 of 80 for AStride (0.18 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
%0 = mhlo.composite "aten.avg_pool2d.default" %arg0 {composite_attributes = {ceil_mode = false, count_include_pad = true, divisor_override = "py_None", kernel_size = dense<3> : tensor<2xi64>, padding = dense<0> : tensor<2xi64>, stride = dense<1> : tensor<2xi64>}, decomposition = @XlaCallModule_aten.avg_pool2d.default.impl_0} : (tensor<1x3x6x6xf32>) -> tensor<1x3x4x4xf32> %1 = "tf.Identity"(%0) {device = ""} : (tensor<1x3x4x4xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/passes/canonicalize.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jan 14 22:15:06 UTC 2023 - 6.8K bytes - Viewed (0) -
src/regexp/syntax/parse.go
for _, xr := range x.R16 { lo, hi, stride := rune(xr.Lo), rune(xr.Hi), rune(xr.Stride) if stride == 1 { r = appendRange(r, lo, hi) continue } for c := lo; c <= hi; c += stride { r = appendRange(r, c, c) } } for _, xr := range x.R32 { lo, hi, stride := rune(xr.Lo), rune(xr.Hi), rune(xr.Stride) if stride == 1 { r = appendRange(r, lo, hi) continue }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 13:59:01 UTC 2024 - 52.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils.cc
Attribute GetWindowStridesValue( PatternRewriter& rewriter, llvm::StringMap<Attribute>& identifier_to_attr) { ArrayAttr stride = mlir::dyn_cast<ArrayAttr>(identifier_to_attr["strides"]); const int stride_h = mlir::cast<IntegerAttr>(stride[1]).getInt(); const int stride_w = mlir::cast<IntegerAttr>(stride[2]).getInt(); return rewriter.getI64ArrayAttr({stride_h, stride_w}); } Attribute GetLhsDilationValue(PatternRewriter& rewriter,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 18.7K bytes - Viewed (0) -
src/bufio/bufio_test.go
} return } func testReadLine(t *testing.T, input []byte) { //for stride := 1; stride < len(input); stride++ { for stride := 1; stride < 2; stride++ { done := 0 reader := testReader{input, stride} l := NewReaderSize(&reader, len(input)+1) for { line, isPrefix, err := l.ReadLine() if len(line) > 0 && err != nil { t.Errorf("ReadLine returned both data and error: %s", err) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Feb 10 18:56:01 UTC 2023 - 51.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
%3 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {stride = [1, 1], pad = [[1, 1], [1, 1]], rhs_dilate = [1, 1]}...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_ops_to_mhlo.cc
mlir::cast<IntegerAttr>(op.getRhsDilationAttr()[i]).getInt()); const int64_t output_size = (lhs_size_dilated + stride - 1) / stride; const int64_t total_padding = std::max( (output_size - 1) * stride + rhs_size_dilated - lhs_size_dilated, static_cast<int64_t>(0)); const int64_t padding_begin = total_padding / 2;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 30.9K bytes - Viewed (0) -
src/go/internal/gccgoimporter/testdata/unicode.gox
pkgpath unicode; init unicode unicode..import; var ASCII_Hex_Digit <type 1 *<type 2 "RangeTable" <type 3 struct { R16 <type 4 [] <type 5 "Range16" <type 6 struct { Lo <type -6>; Hi <type -6>; Stride <type -6>; }>>>; R32 <type 7 [] <type 8 "Range32" <type 9 struct { Lo <type -7>; Hi <type -7>; Stride <type -7>; }>>>; LatinOffset <type -11>; }>>>; var Adlam <type 1>; var Ahom <type 1>; var Anatolian_Hieroglyphs <type 1>; var Arabic <type 1>; var Armenian <type 1>;
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Sep 30 21:33:51 UTC 2021 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir
// RUN: tf-opt %s -tf-layout-assignment=force-data-format=NHWC -verify-diagnostics | FileCheck %s --dump-input=always // IMPORTANT: Tensor shapes do not match convolution parameters (stride, // dilations, etc...). This test only verifies that changing convolution data // layout will update all the attributes. // CHECK-LABEL: func @transposeConv2D func.func @transposeConv2D(%input: tensor<1x3x32x32xf32>, %filter: tensor<1x1x3x8xf32>) -> tensor<1x8x7x6xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.5K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/tools/internal/stdlib/manifest.go
{"Alpha.Pix", Field, 0}, {"Alpha.Rect", Field, 0}, {"Alpha.Stride", Field, 0}, {"Alpha16", Type, 0}, {"Alpha16.Pix", Field, 0}, {"Alpha16.Rect", Field, 0}, {"Alpha16.Stride", Field, 0}, {"Black", Var, 0}, {"CMYK", Type, 5}, {"CMYK.Pix", Field, 5}, {"CMYK.Rect", Field, 5}, {"CMYK.Stride", Field, 5}, {"Config", Type, 0}, {"Config.ColorModel", Field, 0},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 02:20:05 UTC 2024 - 534.2K bytes - Viewed (0)