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Results 111 - 120 of 179 for stride_w (0.13 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir
%rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32> func.return %rst : tensor<256x8x7x16xf32> // CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op.mlir
%0 = "tf.Conv2D"(%arg0, %arg1) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x2x2x3xf32>, tensor<2x2x3x2xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 37.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
%rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32> func.return %rst : tensor<256x8x7x16xf32> // CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
guava/src/com/google/common/primitives/UnsignedBytes.java
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri Jun 07 22:25:23 UTC 2024 - 18.3K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/text/unicode/norm/trie.go
// For n < t.cutoff, the block is a simple lookup table. Otherwise, the block // is a list of ranges with an accompanying value. Given a matching range r, // the value for b is by r.value + (b - r.lo) * stride. func (t *sparseBlocks) lookup(n uint32, b byte) uint16 { offset := t.offset[n] header := t.values[offset] lo := offset + 1 hi := lo + uint16(header.lo) for lo < hi { m := lo + (hi-lo)/2 r := t.values[m]
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 24 13:01:26 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_xla_attribute_utils.h
Value CalculatePaddingAndPadIfNeeded(OpBuilder &builder, Location loc, Value input, Value filter, int8_t input_zp_value, ArrayAttr strides, ArrayAttr dilations, StringAttr conv_padding, ArrayAttr explicit_paddings,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Dec 10 05:52:02 UTC 2023 - 2K 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) -
android/guava/src/com/google/common/primitives/UnsignedBytes.java
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri Jun 07 22:25:23 UTC 2024 - 18.3K bytes - Viewed (0)