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Results 1 - 6 of 6 for 3x3x40x40xf32 (0.11 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-prefer-tf2xla.mlir
// CHECK-NEXT: %[[v5:.*]] = mhlo.convert %arg0 : (tensor<1x300x300x40xi8>) -> tensor<1x300x300x40xf32> // CHECK-NEXT: %[[v6:.*]] = mhlo.convert %arg1 : (tensor<3x3x40x40xi8>) -> tensor<3x3x40x40xf32> // CHECK: %[[v7:.*]] = mhlo.convolution(%[[v5]], %[[v6]]) // CHECK-SAME{LITERAL}: dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
func.func @conv_fn(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32> %1 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x3x4xf32>, tensor<3x3x4x4xf32>) -> tensor<1x3x3x4xf32> func.return %1: tensor<1x3x3x4xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/lift_as_function_call_test.cc
%0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32> %1 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x3x4xf32>, tensor<3x3x4x4xf32>) -> tensor<1x3x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 26.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%9 = stablehlo.convert %3 : (tensor<3x3x4x4xi8>) -> tensor<3x3x4x4xf32> %10 = stablehlo.convolution(%8, %9) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x3x4xf32>, tensor<3x3x4x4xf32>) -> tensor<1x3x3x4xf32> %11 = stablehlo.reshape %2 : (tensor<1x1x1x1xi8>) -> tensor<1xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
%1 = "tfl.transpose"(%0, %perm) : (tensor<1x40x40x3xf32>, tensor<4xi32>) -> tensor<1x3x40x40xf32> %2 = "tfl.add"(%1, %bias) {fused_activation_function = "NONE"} : (tensor<1x3x40x40xf32>, tensor<1x3x40x40xf32>) -> tensor<1x3x40x40xf32> func.return %2 : tensor<1x3x40x40xf32> // CHECK: %[[transpose:.*]] = "tfl.transpose" // CHECK: %[[add:.*]] = tfl.add %[[transpose]],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
) -> tensor<3x3x10x20xf32> %0 = "tf.Conv2D"(%input, %filter_new) { Tin = "tfdtype$DT_FLOAT", Tout = "tfdtype$DT_FLOAT", attr_map = "", batch_group_count = 1 : i64, explicit_padding = [], feature_group_count = 1 : i64, lhs_dilation = [1, 1], padding = "SAME", rhs_dilation = [1, 1], strides = [1, 1, 1, 1] } : (tensor<2x10x10x10xf32>, tensor<3x3x10x20xf32>) -> tensor<2x10x10x20xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0)