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Results 111 - 120 of 232 for stride_w (0.11 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir
%1 = "tf.Conv2D"(%0, %cst) {data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32> %2 = "tf.Relu"(%1) {device = ""} : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/fetch_feed_names.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir
%conv = "tf.Conv2D"(%dq_input, %dq_weight) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fuse_mhlo_convolution.mlir
// CHECK-DAG: %[[RESULT:.+]] = mhlo.convolution(%[[INPUT]], %[[NEW_FILTER]]) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {stride = [1, 1], pad = {{\[\[}}0, 0], [0, 0]], rhs_dilate = [1, 1]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x256x256x3xf32>, tensor<1x1x3x2xf32>) -> tensor<1x256x256x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
%0 = "tf.Cast"(%arg0) {Truncate = false, device = ""} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xf32> %1 = "tf.Conv2D"(%0, %cst) {data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32> loc(fused["Conv2D:", "Model/conv2d"])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
test/fixedbugs/issue25776.go
type blas64_Triangular struct { Stride int Uplo int } // TriDense represents an upper or lower triangular matrix in dense storage // format. type TriDense struct { mat blas64_Triangular } func NewTriDense() *TriDense { return &TriDense{ mat: blas64_Triangular{ Stride: 3, Uplo: blas_Upper, }, } } func (t *TriDense) isUpper() bool {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jun 14 20:08:10 UTC 2018 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/duplicate_shape_determining_constants.mlir
%5 = "tf.AddV2"(%strides, %strides) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> return %0 : tensor<8x4x14x14x16xf32> } // Check that the constants that are input to XlaConvV2's 3rd, 4th, 5th, 6th // and 7th arguments are cloned with same value. // CHECK-DAG: %[[STRIDES:.*]] = "tf.Const"() // CHECK-SAME: value = dense<[3, 1, 1]> : tensor<3xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 07:44:46 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.return %0 : tensor<256x30x30x16xf32> } // ----- func.func @testConv2D(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32> { // expected-error @+1 {{requires positive strides}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
CompileTimeConstantOperand<TF::MaxOp, 1>, // $reduction_indices // $ksize, $strides CompileTimeConstantOperand<TF::MaxPoolGradGradV2Op, 3, 4>, // $ksize, $strides CompileTimeConstantOperand<TF::MaxPoolGradV2Op, 2, 3>, CompileTimeConstantOperand<TF::MaxPoolV2Op, 1, 2>, // $ksize, $strides CompileTimeConstantOperand<TF::MeanOp, 1>, // $reduction_indices
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0) -
src/image/png/writer.go
} else if nrgba != nil { stride, pix = nrgba.Stride, nrgba.Pix } if stride != 0 { j0 := (y - b.Min.Y) * stride j1 := j0 + b.Dx()*4 for j := j0; j < j1; j += 4 { cr0[i+0] = pix[j+0] cr0[i+1] = pix[j+1] cr0[i+2] = pix[j+2] i += 3 } } else { for x := b.Min.X; x < b.Max.X; x++ { r, g, b, _ := m.At(x, y).RGBA()
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 11 17:08:05 UTC 2024 - 15.4K bytes - Viewed (0)