- Sort Score
- Result 10 results
- Languages All
Results 171 - 180 of 232 for stride_w (0.25 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir
%2 = "tf.Conv2D"(%1, %0) {data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> %3 = "tf.BiasAdd"(%2, %cst) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tpu_model_to_cpu.mlir
%5 = "tf.Conv2D"(%4, %cst) {_tpu_replicate = "cluster", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xbf16>, tensor<2x3x3x2xbf16>) -> tensor<1x3x2x2xbf16> %6 = "tf.TPUReplicatedOutput"(%5) {device = ""} : (tensor<1x3x2x2xbf16>) -> tensor<1x3x2x2xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.3K bytes - Viewed (0) -
test/loopbce.go
for i := 3; i > 6; i++ { a[i] = 0 } for i := 7; i < 3; i-- { a[i] = 1 } } func stride1(x *[7]int) int { s := 0 for i := 0; i <= 8; i += 3 { // ERROR "Induction variable: limits \[0,6\], increment 3" s += x[i] // ERROR "Proved IsInBounds" } return s } func stride2(x *[7]int) int { s := 0 for i := 0; i < 9; i += 3 { // ERROR "Induction variable: limits \[0,6\], increment 3"
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 23:33:25 UTC 2023 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: } func.func @convert_slice(%arg0: tensor<1x4672xf32>) -> tensor<1x519xf32> { %0 = "mhlo.slice"(%arg0) <{limit_indices = dense<[1, 4672]> : tensor<2xi64>, start_indices = dense<[0, 4153]> : tensor<2xi64>, strides = dense<1> : tensor<2xi64>}> : (tensor<1x4672xf32>) -> tensor<1x519xf32> func.return %0 : tensor<1x519xf32> } // CHECK-LABEL: func @reshape(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K 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/tensorflow/python/integration_test/quantize_model_test_base.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
filter_shape = (2, 3, 3, 2) strides = (1, 1, 1, 1) model = self._create_conv2d_model( input_shape, filter_shape, self._input_saved_model_path, bias_fn, activation_fn, has_batch_norm, strides, dilations, 'SAME', has_func_alias, )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir
%0 = "mhlo.slice"(%arg0) <{limit_indices = dense<[1, 1, 512]> : tensor<3xi64>, start_indices = dense<[0, 0, 0]> : tensor<3xi64>, strides = dense<1> : tensor<3xi64>}> : (tensor<3x1x512xf32>) -> tensor<1x1x512xf32> %1 = "mhlo.slice"(%arg0) <{limit_indices = dense<[2, 1, 512]> : tensor<3xi64>, start_indices = dense<[1, 0, 0]> : tensor<3xi64>, strides = dense<1> : tensor<3xi64>}> : (tensor<3x1x512xf32>) -> tensor<1x1x512xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 22.7K bytes - Viewed (0) -
src/image/jpeg/reader.go
for iBase, y := 0, bounds.Min.Y; y < bounds.Max.Y; iBase, y = iBase+img.Stride, y+1 { for i, x := iBase+3, bounds.Min.X; x < bounds.Max.X; i, x = i+4, x+1 { img.Pix[i] = 255 - d.blackPix[(y-bounds.Min.Y)*d.blackStride+(x-bounds.Min.X)] } } return &image.CMYK{ Pix: img.Pix, Stride: img.Stride, Rect: img.Rect, }, nil }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 12:02:45 UTC 2023 - 22.5K 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)