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Results 11 - 12 of 12 for conv_2d (0.08 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
%device_launch = "tf_device.cluster_func"(%input,...) {func = @_func,...) return ... } func @_func(%input: tensor<2x224x224x3xf32>, %filter: tensor<7x7x3x64xf32>) { %6 = "tf.Conv2D"(%input, %filter) {strides = [1, 2, 2, 1]}: (tensor<2x230x230x3xf32>, tensor<7x7x3x64xf32>) -> tensor<2x112x112x64xf32> } } ``` The program will be transformed into: ```mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
return emitOptionalError(location, "invalid padding format provided"); } // Output always have rank 4. All dimensions are initialized to // dynamic size and can be partially inferred. // TFL's conv2d is always NHWC format & the filter is OHWI. SmallVector<int64_t, 4> return_shape(4, ShapedType::kDynamic); return_shape[0] = input_ty.getDimSize(0); return_shape[3] = filter_ty.getDimSize(0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0)