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Results 1 - 2 of 2 for depthwise_conv2d_native (0.33 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[VAL_2:.*]] = "tf.Reshape"(%[[VAL_1]], %[[CST]]) : (tensor<3x3x1x3312xf32>, tensor<4xi64>) -> tensor<3x3x207x16xf32> // CHECK: %[[VAL_3:.*]] = "tf.DepthwiseConv2dNative"(%[[VAL_0]], %[[VAL_2]]) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 1, 1]}> : (tensor<1x8x8x207xf32>, tensor<3x3x207x16xf32>) -> tensor<1x8x8x3312xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK: %[[RESHAPED_FILTER:.*]] = mhlo.reshape %arg1 : (tensor<2x2x3x3xf32>) -> tensor<2x2x1x9xf32> // CHECK: mhlo.convolution(%arg0, %[[RESHAPED_FILTER]]) // CHECK-SAME: feature_group_count = 3 %0 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) { data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 1, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)