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Results 1 - 2 of 2 for 4x3x7x7xf32 (0.08 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/dynamic_shape.mlir
%cst = arith.constant dense<1.0> : tensor<4xf32> %cst_3 = arith.constant dense<2.0> : tensor<4x3x3x3xf32> %0 = "tfl.conv_2d"(%arg0, %cst_3, %cst) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "RELU6", padding = "VALID", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<?x19x19x3xf32>, tensor<4x3x3x3xf32>, tensor<4xf32>) -> tensor<?x9x9x4xf32> func.return %0 : tensor<?x9x9x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 07:35:24 UTC 2022 - 716 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nchw.mlir
// CHECK-SAME: explicit_paddings = [1, 2, 7, 8, 3, 4, 5, 6] // CHECK-SAME: padding = "EXPLICIT" // CHECK-SAME: strides = [5, 8, 6, 7] // CHECK-SAME: (tensor<1x3x32x32xf32>, tensor<1x1x3x8xf32>) -> tensor<1x8x7x7xf32> // CHECK: %[[RES_PERM:.*]] = "tf.Const"() <{value = dense<[0, 2, 3, 1]> : tensor<4xi64>}> // CHECK: %[[RES_TRANSPOSE:[0-9]*]] = "tf.Transpose"(%[[CONV2D]], %[[RES_PERM]]) // CHECK: return %[[RES_TRANSPOSE]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9K bytes - Viewed (0)